agile_development

Table of Contents

Agile development

Definition

Agile development

Summarize this topic in 1 paragraph. Put a section heading for each paragraph. Section headings must start and end with 2 equals signs. Do not put double square brackets around words in section headings. You MUST put double square brackets around each computer buzzword, product name, or jargon or technical words. Answer in MediaWiki syntax.

Agile development is a set of development principles for software development under which software requirements and software solutions evolve through the collaborative effort of self-organizing teams and cross-functional teams. It advocates adaptive planning, evolutionary development, early delivery, and continual improvement, and it encourages rapid response and flexible response to change. The Agile Manifesto, introduced in 2001, emphasizes individuals and interactions over processes and tools, working software over comprehensive documentation, customer collaboration over contract negotiation, and responding to change over following a plan. The approach is designed to produce high-quality software in a cost-effective and timely manner, tailored to the customer's needs and preferences.


Detailed Summary

Agile development

Summarize this topic in 15 paragraphs. Put a section heading for each paragraph. Section headings must start and end with 2 equals signs. Do not put double square brackets around words in section headings. You MUST put double square brackets around each computer buzzword, product name, or jargon or technical words. Answer in MediaWiki syntax.

Introduction to Agile Development

Agile development is a methodology in software development that prioritizes flexibility, customer satisfaction, and rapid delivery of functional software. It emerged as a response to the limitations of traditional, plan-driven approaches, emphasizing adaptability and cross-functional teamwork. The core values and principles of Agile development are articulated in the Agile Manifesto, which advocates for individuals and interactions, working software, customer collaboration, and responding to change.

The Agile Manifesto

The Agile Manifesto is a seminal document that outlines the core values and principles behind the Agile movement. Created in 2001 by a group of software developers, it emphasizes the importance of individuals and interactions, working software, customer collaboration, and the ability to respond to change over following a rigid plan. The manifesto also lists 12 supporting principles that guide Agile practices, aiming to improve the development process and deliver value to customers.

Core Principles of Agile

Agile development is guided by 12 key principles, which include customer satisfaction through early and continuous delivery, welcoming changing requirements, frequent delivery of working software, collaboration between business stakeholders and developers throughout the project, support, trust, and motivation for the individuals involved, face-to-face conversation as the best form of communication, working software as the primary measure of progress, sustainable development pace, continuous attention to technical excellence, simplicity, self-organizing teams, and regular reflection on how to become more effective.

Agile Methodologies

Several methodologies embody the Agile philosophy, including Scrum, Kanban, Extreme Programming (XP), and Lean Software Development. Each methodology has its unique practices, terminology, and tools, but all share the core principles of Agile development, such as iterative development, flexibility, customer collaboration, and the delivery of high-quality software products.

Scrum

Scrum is a popular Agile framework that organizes development into cycles called Sprints, typically lasting two to four weeks. It emphasizes roles such as the Product Owner, Scrum Master, and Development Team, artifacts like the Product Backlog, Sprint Backlog, and Increment, and ceremonies including Sprint Planning, Daily Stand-up, Sprint Review, and Sprint Retrospective. Scrum promotes transparency, inspection, and adaptation to manage complex software development projects.

Kanban

Kanban is an Agile methodology that focuses on visual management using a Kanban board to visualize the flow of work. It helps teams manage their work by limiting work in progress (WIP), thus improving flow and reducing cycle times. Kanban emphasizes continuous delivery and flexibility in task management, allowing teams to adapt to changing priorities quickly.

Extreme Programming (XP)

Extreme Programming (XP) is an Agile framework that emphasizes technical excellence and customer satisfaction. XP practices include pair programming, test-driven development (TDD), continuous integration, simple design, and refactoring. XP aims to improve software quality and responsiveness to changing customer requirements.

Lean Software Development

Lean Software Development is an adaptation of lean manufacturing principles and practices to the software development domain. It focuses on maximizing value for the customer while minimizing waste. Lean principles include eliminating waste, amplifying learning, deciding as late as possible, delivering as fast as possible, empowering the team, building integrity in, and optimizing the whole.

Agile Project Management

Agile project management is an iterative approach to planning and guiding project processes. Just like in Agile software development, an Agile project is completed in small sections called iterations. Each iteration is reviewed and critiqued by the project team, which may include representatives of the customer business as well as employees. Insights gained from the critique of an iteration are used to determine what the next step should be in the project.

User Stories

User stories are short, simple descriptions of a feature told from the perspective of the person who desires the new capability, usually a user or customer of the system. They typically follow a simple template: As a [type of user], I want [some goal] so that [some reason]. User stories are a key component of Agile development, as they focus on the user's needs and ensure the development team understands the value of the work they are completing.

Agile Testing

Agile testing is a software testing practice that follows the principles of Agile software development. It involves all team members (not just testers) in the testing process, with the aim of producing high-quality software in a timely manner. Agile testing embraces change, requiring tests to be flexible and adaptive. Continuous integration and continuous delivery are often used to automate and speed up the testing process.

Continuous Integration and Continuous Delivery (CI/CD)

Continuous Integration (CI) and Continuous Delivery (CD) are practices in software engineering that aim to improve software delivery by automatically building, testing, and deploying software changes. CI involves integrating code into a shared repository frequently, while CD ensures that the software can be reliably released at any time. These practices are integral to the Agile methodology, enabling rapid iterations and high-quality software releases.

Agile Coaching and Mentoring

Agile coaching and mentoring involve guiding teams and organizations in understanding and adopting Agile principles and practices. An Agile coach helps teams navigate the challenges of transition to Agile, facilitates continuous improvement, and fosters an environment conducive to Agile practices. Coaching is crucial for organizations looking to fully embrace Agile methodologies and reap their benefits.

Scaling Agile

Scaling Agile refers to the application of Agile principles and methodologies beyond single teams to larger projects, programs, and the entire organization. Frameworks such as the Scaled Agile Framework (SAFe), Large-Scale Scrum (LeSS), and Disciplined Agile Delivery (DAD) provide guidance on how to apply Agile at scale, addressing the coordination, architecture, integration, and governance challenges that come with larger projects.

Distributed Agile Teams

In today’s global economy, Agile teams often consist of members who are located in different geographical locations. Managing distributed Agile teams presents unique challenges, such as time zone differences, cultural differences, and communication barriers. Successful distributed Agile teams overcome these challenges by using collaboration tools, adjusting working hours to overlap, and fostering a culture of trust and transparency.

Agile Tools and Technologies

Numerous tools and technologies support Agile methodologies, ranging from project management software like Jira and Trello, to collaboration tools such as Slack and Microsoft Teams, to CI/CD tools like Jenkins and GitLab. These tools facilitate communication, collaboration, project tracking, and automation, essential elements in the effective implementation of Agile practices.

Challenges in Agile Development

While Agile offers many benefits, teams may face challenges such as resistance to change, lack of understanding of Agile principles, difficulties in managing distributed teams, and challenges in scaling Agile practices. Overcoming these obstacles requires strong leadership, effective communication, continuous learning, and adaptation.

Benefits of Agile Development

The benefits of Agile development include increased customer satisfaction, higher product quality, improved project visibility, better risk management, and enhanced team morale. By embracing change and focusing on delivering value, Agile methodologies enable organizations to respond quickly to market changes and customer needs.

Future of Agile Development

The future of Agile development is likely to involve further integration with emerging technologies, such as artificial intelligence and machine learning, to automate and enhance various aspects of the development process. Additionally, as organizations continue to recognize the value of Agile practices, there will be a greater emphasis on scaling Agile and integrating it into organizational culture and processes.

Conclusion

Agile development has significantly transformed the landscape of software development, offering a flexible, collaborative, and efficient approach to managing projects. By adhering to its principles and practices, organizations can navigate the complexities of modern software development, delivering valuable products to their customers while fostering a culture of continuous improvement.


Alternatives to Agile development

Agile development Alternatives - Alternatives to Agile development

Summarize the alternatives to Agile development in 7 paragraphs. Put a section heading for each paragraph. Section headings must start and end with 2 equals signs. Do not put double square brackets around words in section headings. You MUST put double square brackets around each computer buzzword, product name, or jargon or technical words. Answer in MediaWiki syntax.

Waterfall Model

The Waterfall model is a sequential (non-iterative) process, often used in software development processes, in which progress is seen as flowing steadily downwards (like a waterfall) through the phases of conception, initiation, analysis, design, construction, testing, deployment, and maintenance. This approach is one of the earliest software development methodologies and is structured in such a way that each phase must be completed before the next phase can begin. It's known for its simplicity and ease of understanding, making it suitable for projects with clear objectives and stable requirements.

V-Model

The V-Model extends the Waterfall model by adding a corresponding testing phase for each development stage. This means that for every single phase in the development cycle, there is a directly associated testing phase. It's a highly disciplined model that emphasizes verification and validation. This approach is particularly useful in projects where quality control is a paramount concern, but it lacks the flexibility to accommodate changes once the project development has started.

Spiral Model

The Spiral Model combines the idea of iterative development with the systematic aspects of the Waterfall model. It allows for incremental releases of the product, or incremental refinement through each iteration around the spiral. The Spiral Model is particularly good for large, complex, and high-risk projects, as it emphasizes risk analysis. It allows for extensive use of prototypes, and each loop of the spiral represents a phase of the software process, including planning, risk analysis, engineering, and evaluation.

Iterative and Incremental Development

Iterative and Incremental Development is a methodology that involves both development and maintenance. The software is developed and delivered in increments, allowing for partial functionality to be given to users and for feedback to inform subsequent releases. This approach can lead to quicker initial deliveries and less rework compared to models that attempt to deliver the entire software in one go. However, it requires careful planning and design to ensure coherence and consistency across iterations.

Lean Development

Lean Development is rooted in the principles of lean manufacturing and is focused on the creation of value for the end customer with minimal waste and processes. It emphasizes optimizing efficiency, eliminating waste, and using an empirical approach to decision making. Lean principles encourage teams to deliver fast, obtain feedback, and continuously improve. While it shares some principles with Agile development, Lean puts a stronger emphasis on efficiency and waste reduction.

Feature-Driven Development (FDD)

Feature-Driven Development (FDD) is a model-driven, short-iteration process. It begins with an overall model shape, then builds a feature list, and each feature is planned and delivered in separate build sequences. FDD promotes building and designing by feature, and it is well-suited for larger teams and projects where structure and detailed planning are valued. The focus on delivering tangible, working software repeatedly in a short amount of time aligns with Agile principles, but FDD has a more prescribed structure and roles.

Rapid Application Development (RAD)

Rapid Application Development (RAD) is a type of Agile methodology that prioritizes rapid prototype releases and iterations. Unlike traditional Agile development methodologies, RAD focuses more on adapting to user feedback and less on planning and execution. Its goal is to quickly produce a high-quality system and involves user involvement from the early stages of the development cycle. RAD is beneficial in environments where the requirements are not well-understood in advance or are expected to change frequently.

Agile development Cloud Market Survey

Agile development in the Cloud:

List the competing alternatives in 14 paragraphs. In the description be sure to list the actual product name used by the cloud provider. AWS Agile development, 2. Azure Agile development, 3. GCP Agile development, 4. IBM Agile development, 6. IBM z Mainframe Agile development, 7. Oracle Agile development, 8. Kubernetes Agile development, 9. VMWare Agile development / Tanzu Agile development, 10. Alibaba Agile development, 11. DigitalOcean Agile development, 12. Huawei Agile development, 13. Tencent Agile development, 14. On-Premises Data Center Agile development using Open Source Cloud / Private Cloud Technologies. When you make a numbered list, precede the number with an asterisk and a space. Put a section heading for each paragraph. Section headings must start and end with 2 equals signs. Do not put double square brackets around words in section headings. You MUST put double square brackets around ALL computer buzzwords, product names, or jargon or technical words. Answer in MediaWiki syntax.

1. AWS Agile Development

2. Azure Agile Development

3. GCP Agile Development

4. IBM Cloud Agile Development

5. IBM z Mainframe Agile Development

  • Agile development on IBM z Mainframe environments is supported by tools like IBM Z Development and Test Environment and integrations with modern CI/CD pipelines. These allow for Agile practices to be adopted even in mainframe development, facilitating faster iterations and better collaboration.

6. Oracle Agile Development

7. Kubernetes Agile Development

  • Kubernetes enables Agile development by offering a container-orchestration system for automating software deployment, scaling, and management. Tools like Helm for package management and various CI/CD tools that integrate with Kubernetes facilitate an Agile development process across cloud environments.

8. VMWare/Tanzu Agile Development

9. Alibaba Agile Development

  • Alibaba Cloud offers a suite of services for Agile development, including Alibaba Cloud DevOps Solution, which integrates a range of tools and services for continuous integration and continuous delivery. Alibaba Cloud's ecosystem enables teams to adopt Agile practices in developing, testing, and deploying applications globally.

10. DigitalOcean Agile Development

11. Huawei Agile Development

  • Huawei Cloud promotes Agile development through its DevCloud platform, which offers a comprehensive set of tools for software development and testing. These include source code management, build automation, deployment automation, and quality analysis, supporting Agile workflows in a seamless manner.

12. Tencent Agile Development

  • Tencent Cloud facilitates Agile development with its Tencent Cloud DevOps service, providing a suite of tools for continuous integration and continuous deployment. Tencent Cloud also offers CODING DevOps, a platform that supports the entire software development life cycle, enhancing Agile practices.

13. On-Premises Data Center Agile Development

14. Conclusion

Each cloud provider offers unique tools and services to support Agile development in the cloud. Whether through comprehensive CI/CD pipelines, cloud-native environments, or scalable infrastructure, these platforms enable teams to adopt Agile methodologies effectively, ensuring rapid development, deployment, and iteration of software applications in a cloud-centric world.

Best Practices for Agile development

Agile development Best Practices:

Summarize this topic in 20 paragraphs. Put a section heading for each paragraph. Section headings must start and end with 2 equals signs. Do not put double square brackets around words in section headings. You MUST put double square brackets around ALL computer buzzwords, product names, or jargon or technical words. Answer in MediaWiki syntax.

Embrace Change

In Agile development, embracing change is fundamental. The ability to adapt to changing requirements, even late in the development process, is a core principle that allows teams to deliver value to customers continuously. Embracing change requires a flexible mindset from both the development team and stakeholders, ensuring that the final product meets the evolving needs of its users.

Frequent Delivery

A key practice of Agile development is the frequent delivery of small, incremental changes to software. This approach allows teams to gather feedback early and often, making adjustments as needed to ensure the final product aligns with customer expectations and market demands. Frequent delivery helps in identifying potential issues early, reducing the risk of large-scale failures at later stages.

Sustainable Pace

Maintaining a sustainable pace is crucial for long-term project success in Agile development. Teams should work at a rate that can be sustained indefinitely, avoiding burnout and ensuring high-quality work. This approach fosters a healthier work environment and promotes consistent progress without compromising the well-being of the team.

Welcome Stakeholder Collaboration

Agile development thrives on close collaboration between the development team and stakeholders. Regular communication ensures that the project aligns with business goals and customer needs, facilitating a transparent environment where feedback is valued and integrated into the development process. This collaboration helps in refining the vision and direction of the project continuously.

Build Projects Around Motivated Individuals

Selecting and supporting motivated individuals is vital in Agile development. Empowering team members with the environment and support they need, and trusting them to get the job done, leads to better productivity and innovation. A motivated team is more likely to overcome challenges and find efficient solutions to problems.

Face-to-Face Conversations

Face-to-face communication is the most efficient and effective method of conveying information to and within a development team. In Agile development, promoting direct interactions helps in minimizing misunderstandings and provides a quicker way to resolve issues and share ideas, fostering a more cohesive and agile team.

Working Software Over Comprehensive Documentation

Agile development prioritizes working software over comprehensive documentation. While documentation is not disregarded, the focus is on delivering functional software that meets user needs. This principle encourages teams to spend more time on development and less on paperwork, streamlining the delivery of value.

Continuous Attention to Technical Excellence

Paying continuous attention to technical excellence and good design enhances agility. In Agile development, teams are encouraged to adopt practices that improve the quality of the product, such as refactoring, automated testing, and continuous integration. High technical standards ensure the software is maintainable, scalable, and extensible.

Simplicity

The art of maximizing the amount of work not done is essential in Agile development. Simplicity in design and execution allows teams to focus on what's truly necessary, reducing waste and increasing efficiency. This practice involves prioritizing work, cutting out non-essential features, and finding the simplest path to delivering value.

Self-Organizing Teams

Agile development advocates for self-organizing teams that are given the autonomy to manage their own work and make decisions about how to achieve objectives. This empowerment leads to more innovative solutions and a stronger sense of ownership among team members, ultimately resulting in a more effective and motivated team.

Regular Adaptation

Agile development requires teams to regularly reflect on how to become more effective, then tune and adjust their behavior accordingly. This continuous improvement process encourages teams to adapt their methods and practices to better meet the project goals and team needs, fostering a culture of learning and growth.

Customer-Centric Development

Focusing on customer satisfaction is at the heart of Agile development. By actively involving customers in the development process and prioritizing their feedback, teams can ensure that the product meets and exceeds customer expectations, leading to higher satisfaction and loyalty.

Iteration Planning

Effective iteration planning is crucial in Agile development for setting realistic goals and ensuring team alignment. Planning sessions help define the work and goals for the upcoming iteration, allowing teams to address priorities and allocate resources efficiently, thus ensuring a focused and productive development cycle.

Continuous Integration and Delivery

Continuous Integration (CI) and Continuous Delivery (CD) are practices that automate the integration and delivery processes, respectively. These practices allow teams to detect problems early, deliver updates more frequently, and ensure that the software is always in a releasable state, enhancing the agility and quality of the product.

Automated Testing

Automated testing is a cornerstone of Agile development, enabling teams to quickly verify that changes have not broken existing functionality. By automating repetitive testing tasks, teams can focus on creating new features and refining the product, ensuring a high level of quality and reliability.

Pair Programming

Pair Programming is an Agile development practice where two programmers work together at one workstation. This collaborative approach improves code quality, facilitates knowledge sharing, and enhances team cohesion. It encourages collective ownership of the code and accelerates the problem-solving process.

Code Refactoring

Code refactoring is the practice of restructuring existing computer code without changing its external behavior. In Agile development, regular refactoring is encouraged to improve the design, structure, and performance of the code, making it easier to maintain and extend over time.

Backlog Grooming

Backlog grooming, or refinement, is the process of reviewing and updating the list of pending tasks (the backlog) in Agile development. This practice helps keep the backlog relevant and manageable, ensuring that priorities are clear and the team is focused on the most valuable tasks.

Retrospectives

Retrospectives are regular meetings held at the end of each iteration in Agile development to discuss what went well, what could be improved, and how to incorporate these insights into future iterations. This practice is key to continuous improvement, team building, and effective adaptation to change.

Agile Metrics and Reporting

In Agile development, measuring and reporting progress using Agile metrics like velocity, burn-down charts, and cycle time can provide valuable insights into the team's performance and the project's status. These metrics help in making informed decisions, adjusting strategies, and ensuring transparency and accountability.

Conclusion

Adopting these best practices in Agile development can significantly enhance the efficiency, quality, and satisfaction levels of software development projects. By emphasizing flexibility, customer involvement, team empowerment, and continuous improvement, Agile methodologies foster an environment where innovation thrives, and valuable software is delivered consistently.

Anti-Patterns for Agile development

Agile development Anti-Patterns:

Summarize this topic in 4 paragraphs. Put a section heading for each paragraph. Section headings must start and end with 2 equals signs. Do not put double square brackets around words in section headings. You MUST put double square brackets around ALL computer buzzwords, product names, or jargon or technical words. Answer in MediaWiki syntax.

Overemphasis on Tools

An overemphasis on tools and processes can lead to an Agile development anti-pattern where the original principles of the Agile Manifesto are overshadowed. This occurs when teams become more focused on adhering to specific tools or methodologies rather than the core Agile values of individuals and interactions, working software, customer collaboration, and responding to change. This fixation can stifle flexibility and innovation, leading to a rigid and less effective implementation of Agile practices.

Neglecting Technical Debt

Ignoring or accumulating technical debt is a common anti-pattern in Agile development. Technical debt refers to the future cost of choosing an easy (and potentially incorrect) solution now over a better approach that would take longer. When teams prioritize immediate delivery over the quality of the code, it can lead to a build-up of technical debt that becomes costly and time-consuming to resolve, ultimately slowing down future development efforts and reducing the system's maintainability.

Agile in Name Only (AINO)

Agile in Name Only (AINO) describes a situation where an organization claims to be following Agile development practices but does not adhere to the fundamental Agile principles and values. This usually happens when an organization adopts some Agile tools or processes superficially without fully understanding or committing to the Agile mindset. As a result, the potential benefits of Agile, such as improved flexibility, faster delivery, and enhanced collaboration, are not realized, and the development process may even become more cumbersome.

Lack of Customer Involvement

A critical anti-pattern in Agile development is the lack of continuous customer involvement throughout the development process. Agile methodologies emphasize close collaboration with the customer to ensure that the end product truly meets their needs and expectations. When this collaboration is missing, there's a high risk of developing features or products that do not align with the customer's requirements, leading to wasted resources and potential dissatisfaction. Ensuring regular feedback and involvement from the customer is essential for the success of an Agile project.

Agile development Security

Agile development Security

Summarize this topic in 4 paragraphs. Put a section heading for each paragraph. Section headings must start and end with 2 equals signs. Do not put double square brackets around words in section headings. You MUST put double square brackets around ALL computer buzzwords, product names, or jargon or technical words. Answer in MediaWiki syntax.

Introduction to Security in Agile Development

Integrating security into Agile development processes is crucial for developing software that is not only functional and efficient but also secure from potential threats. Traditional software development methodologies often considered security as a final step, leading to costly and time-consuming fixes. In contrast, Agile development offers the opportunity to integrate security practices throughout the development lifecycle, ensuring that security considerations are made early and often.

Security Mindset from the Start

Incorporating a security mindset from the start of the Agile development process is essential. This means considering security implications during the planning and requirements gathering stages, rather than treating security as an afterthought. By doing so, teams can identify potential security risks early, allowing for the design and implementation of more secure systems from the ground up. This proactive approach to security helps in mitigating risks before they become significant issues.

Continuous Integration and Security

Continuous Integration (CI) and Continuous Delivery (CD) practices in Agile development facilitate the early detection and resolution of security vulnerabilities. Automating security checks and tests within the CI/CD pipeline ensures that security assessments are conducted regularly and consistently. This allows teams to address vulnerabilities as they arise, rather than at the end of the development cycle, significantly reducing the risk of security breaches.

Security Testing in Agile Environments

Security testing is a critical component of ensuring the security of software developed through Agile development. Incorporating security testing practices such as static application security testing (SAST), dynamic application security testing (DAST), and penetration testing into the iterative development process enables teams to identify and address vulnerabilities in real-time. Agile methodologies facilitate the integration of these testing practices in a way that is both efficient and minimally disruptive to the development workflow.

User Stories for Security

Integrating security considerations into user stories is an effective way to embed security into the fabric of Agile development. By including security requirements and acceptance criteria in user stories, teams can ensure that security is a consideration in every aspect of the development process. This approach helps in creating a shared responsibility for security within the team, ensuring that security considerations are not overlooked.

Collaboration Between Development and Security Teams

Effective collaboration between development and security teams is vital for integrating security into Agile development. Encouraging open communication and collaboration ensures that security considerations are understood and prioritized by all team members. Security experts can provide valuable insights and guidance throughout the development process, helping to identify potential vulnerabilities early and advising on best practices for secure development. This collaborative approach fosters a culture of security within the organization, making it an integral part of the development process.


Agile development Glossary:

Give 10 related glossary terms with definitions. Each topic on a separate line followed by a second carriage return. You MUST put double square brackets around each computer buzzword or jargon or technical words. Answer in MediaWiki syntax.

  • Sprint - A set time period during which specific work has to be completed and made ready for review in Agile development. Sprints typically last from one to four weeks.
  • Scrum Master - A facilitator for an Agile development team who manages the process for how information is exchanged, helping the team achieve its goals without interference.
  • Product Backlog - A prioritized list of work for the development team that is derived from the roadmap and its requirements in Agile development. The most important items are shown at the top of the product backlog so the team knows what to deliver first.
  • User Story - A tool used in Agile development to capture a description of a software feature from an end-user perspective. The user story describes the type of user, what they want, and why.
  • Kanban Board - A visual tool used in Agile development that displays work at various stages of the process using cards to represent work items and columns to represent each stage of the process.
  • Burndown Chart - A graphical representation used in Agile development to show the amount of work that has been completed in the sprint and the total work remaining.
  • Velocity - A measure used in Agile development to estimate the amount of work a team can complete in a single sprint. It is calculated by averaging the number of user story points (or any other measure of work) completed in previous sprints.
  • Epic - A large body of work that can be broken down into smaller tasks (stories) in Agile development. Epics are often used to organize work within a project.
  • Iteration - A specific time frame in which work is completed in Agile development. Teams use iterations to break down work into smaller, more manageable pieces.
  • Stand-up Meeting - A daily team meeting held in Agile development to provide a status update to all team members. The focus is on what has been accomplished, what will be done next, and any obstacles that may impede progress.

Continuous Integration (CI): A practice in software development where developers frequently integrate code into a shared repository, ideally several times a day. Each integration is automatically verified by build and tests to detect integration errors as quickly as possible.

Continuous Delivery (CD): An extension of Continuous Integration (CI) that ensures the software can be released to production at any time. It involves automatically deploying all code changes to a testing or staging environment after the build stage.

Product Owner: A role in Scrum, an Agile development framework, responsible for defining the features of the product, deciding on release dates and content, and prioritizing needs. The Product Owner ensures the value of the work the development team does.

Scrum Master: A facilitator for an Agile development team using Scrum, responsible for managing the process for how information is exchanged. The Scrum Master works to ensure the team follows the Agile practices and rules.

User Story: A tool used in Agile development to capture a description of a software feature from an end-user perspective. A user story describes the type of user, what they want, and why, to ensure that the software team understands the user’s needs.

Sprint: A time-boxed period, usually two to four weeks, during which a “Done”, useable, and potentially releasable product increment is created. Sprints are at the heart of Scrum and Agile development, promoting fast feedback and iteration.

Backlog: A prioritized list of tasks that are required to complete a project. In Agile development, the backlog includes both features, bug fixes, non-functional requirements, etc., and is the source of tasks to be done in Sprint cycles.

Kanban Board: A visual tool used to track work as it progresses through a process. The Kanban Board helps Agile development teams visualize work, limit work-in-progress, and maximize efficiency (or flow).

Agile Coaching: The practice of helping individuals, teams, and organizations in adopting Agile development practices and improving their processes. Agile Coaching involves guidance, facilitation, and mentoring in the principles and practices of Agile.

Technical Debt: A concept in software development that reflects the implied cost of additional rework caused by choosing an easy solution now instead of using a better approach that would take longer. Managing Technical Debt is crucial in maintaining the agility of development processes.

Burn-down Chart: A graphical representation used in Agile development to track the amount of work remaining in a Sprint or project over time. It helps teams visualize progress and predict when all of the work will be completed.

Epic: A large body of work in Agile development that can be broken down into smaller tasks (User Stories). Epics are often used to organize work within a backlog related to a specific feature or goal.

Iteration: A specific time frame during which development work occurs in Agile development. Each iteration results in a new version of the product, which is incrementally improved and delivered for feedback.

Refactoring: The process of restructuring existing computer code without changing its external behavior. In Agile development, Refactoring is used to improve the design, structure, and implementation of the software.

Velocity: A measure used in Agile development to estimate the amount of work a team can complete in a single Sprint. It helps with planning and forecasting future sprints or iterations.

Definition of Done (DoD): A clear and concise list of criteria that a software product or a feature must meet to be considered complete. In Agile development, the Definition of Done ensures everyone has a shared understanding of what it means for work to be finished.

Retrospective: A meeting held at the end of a Sprint in Agile development where team members discuss what went well, what could be improved, and what will be committed to in the next sprint. The goal is to continuously improve the process.

Spike: A type of story in Agile development that is used to research a concept or create a simple prototype. The aim is to gain the knowledge necessary to reduce the risk of a technical approach, better understand a requirement, or increase the reliability of a story estimate.

Agile Manifesto: A formal proclamation of four key values and twelve principles that guide Agile development practices and methodologies. The manifesto values individuals and interactions, working software, customer collaboration, and responding to change.

Pair Programming: A software development technique in which two programmers work together at one workstation. One writes code while the other reviews each line of code as it is typed in. The roles are frequently switched, and the practice is used to improve code quality and enhance team knowledge.


Snippet from Wikipedia: Agile software development

Agile software development is an umbrella term for approaches to developing software that reflect the values and principles agreed upon by The Agile Alliance, a group of 17 software practitioners in 2001. As documented in their Manifesto for Agile Software Development the practitioners value:

  • Individuals and interactions over processes and tools
  • Working software over comprehensive documentation
  • Customer collaboration over contract negotiation
  • Responding to change over following a plan

The practitioners cite inspiration from new practices at the time including extreme programming, scrum, dynamic systems development method, adaptive software development and being sympathetic to the need for an alternative to documentation driven, heavyweight software development processes.

Many software development practices emerged from the agile mindset. These agile-based practices, sometimes called Agile (with a capital A) include requirements, discovery and solutions improvement through the collaborative effort of self-organizing and cross-functional teams with their customer(s)/end user(s).

While there is much anecdotal evidence that the agile mindset and agile-based practices improve the software development process, the empirical evidence is limited and less than conclusive.

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Agile: Agile Methodologies, Scrum, Kanban, Extreme Programming (XP), Lean Software Development, Agile Project Management, User Stories, Spike Stories, Agile Epic, Sprints, Agile Planning and Estimation, Daily Stand-Up Meetings, Sprint Retrospectives, Sprint Reviews, Agile Testing, Continuous Integration, Continuous Delivery, Pair Programming, Test-Driven Development (TDD), Behavior-Driven Development (BDD), Agile Coaching, Agile Tools and Technologies, Velocity Tracking, Backlog, Backlog Grooming, Release Planning, Burndown Charts, Agile Metrics, Cross-Functional Teams, Self-Organizing Teams, Collaborative Work Environments, Agile Leadership, Scaling Agile, Agile Transformations, Value Stream Mapping, Agile Contracts, Agile Risk Management, Minimum Viable Product (MVP), Incremental Development, Iterative Development, Agile Ceremonies, The Agile Manifesto, Lean Startup, Product Backlog, Definition of Done (DoD), Definition of Ready (DoR), Product Owner, Scrum Master, Agile Portfolio Management, Feature-Driven Development (FDD), Crystal Methods, Agile Documentation, Servant Leadership; Awesome Agile. (navbar_agile - see also navbar_cicd, navbar_devops)

navbar_agile

Agile development: Agile development Glossary, Agile development Topics, Python Agile development, Java Agile development, JavaScript Agile development, Agile development Security, Agile development Alternatives. Most Common topics:

Software Architecture, Software Architecture Glossary, Software Architecture Topics, GitHub Agile development, Awesome Agile development. (navbar_Agile development – see also navbar_software_architecture)

Create a list of the top 20 Agile development topics with no description or definitions. Sort by most common. Include NO description or definitions. Put double square brackets around each topic. Don't number them, separate each topic with only a comma and 1 space.

Software Architecture: Software Architects

Monolithic Architecture, Microservices Architecture, Service-Oriented Architecture (SOA), Event-Driven Architecture, Layered Architecture, Client-Server Architecture, Peer-to-Peer Architecture, Serverless Architecture, Cloud-Native Architecture, Domain-Driven Design (DDD), Hexagonal Architecture, Clean Architecture, Onion Architecture, CQRS (Command Query Responsibility Segregation), Event Sourcing, API Gateway Pattern, Backend for Frontend (BFF) Pattern, Database Sharding, Data Lake Architecture, Big Data Architecture, IoT Architecture, Blockchain Architecture, Artificial Intelligence and Machine Learning Architecture, High Availability Systems, Scalable Web Architecture, Security Architecture, Network Architecture, Infrastructure as Code (IaC), Continuous Integration/Continuous Deployment (CI/CD), DevOps Practices, Test-Driven Development (TDD), Behavior-Driven Development (BDD), System Design Principles, Design Patterns, Architectural Patterns, Performance Optimization, Load Balancing, Caching Strategies, Data Partitioning, Rate Limiting, API Design, Micro Frontends, Cross-Cutting Concerns, Versioning Strategies, Dependency Injection, Modular Design, Software Design Principles (SOLID), Reactive Systems, Distributed Systems Design, Failover Strategies, Disaster Recovery Planning, Data Consistency Models, Concurrency Models, Message Queuing, Stream Processing, Workflow Engines, Business Process Management (BPM), Enterprise Integration Patterns, Data Integration Patterns, Mobile App Architecture, Game Architecture, Virtual Reality (VR) Architecture, Augmented Reality (AR) Architecture, Content Delivery Networks (CDN), Edge Computing, Fog Computing, Hybrid Cloud Architecture, Multi-Tenant Architecture, OAuth and OpenID Connect, Web Security Architecture, Cryptographic Architecture, Compliance and Regulatory Frameworks, Architecture Review Processes, Technical Debt Management, Architectural Refactoring, Monitoring and Observability, Logging Strategies, Feature Toggling, A/B Testing, Blue-Green Deployments, Canary Releases, Service Mesh, Containerization and Orchestration, Kubernetes Architecture, Docker Architecture, Function as a Service (FaaS), Platform as a Service (PaaS), Infrastructure as a Service (IaaS), Software as a Service (SaaS), Blockchain as a Service (BaaS), Artificial Intelligence as a Service (AIaaS), Machine Learning Operations (MLOps), DataOps, Architecture Decision Records (ADR), Technical Writing for Architects, Stakeholder Management, Architecture Governance, Cost Optimization in Architecture, Sustainability in Software Architecture, Ethics in Software Architecture, Future Trends in Software Architecture

Software Architecture and DevOps - Software Architecture and SRE - Software Architecture of CI/CD, Cloud Native Software Architecture - Microservices Software Architecture - Serverless Software Architecture, Software Architecture and Security - Software Architecture and DevSecOps, Software Architecture and Functional Programming, Software Architecture of Concurrency, Software Architecture and Data Science - Software Architecture of Databases, Software Architecture of Machine Learning, Software Architecture Bibliography (Fundamentals of Software Architecture by Mark Richards and Neal Ford, Software Architecture - The Hard Parts), Software Architecture Courses, Software Architecture Glossary, Awesome Software Architecture, Software Architecture GitHub, Software Architecture Topics

SHORTEN THIS fork from navbar_golang_detailed:

Programming languages, abstraction, agile, ahead-of-time (AOT), AI, algebraic data types, algorithms, Android, anonymous functions, anonymous methods, AOP, AOT, APIs, arguments, ARM, arithmetic, arrays, aspect-oriented, assignment, associative arrays, async, asynchronous callbacks, asynchronous programming, automatic variables, automation, Avro, backend, backwards compatibility, block scoped, Booleans, Boolean expressions, buffer overflow, builds, built-in types, bytecode, cache, caching, call by reference, call by value, callbacks, call stack, casting, characters, Chocolatey, CI/CD, classes, CLI, client-side, closures, cloud (Cloud Native-AWS-Azure-GCP-IBM Cloud-IBM Mainframe-OCI), code smells, coercion, collections, command-line interface, commands, comments, compilers, complex numbers, composition, concurrency, concurrent programming, conditional expressions, conferences, constants, constructors, containers, control flow, control structures, coroutines, crashes, creators, currying, databases, data manipulation, data persistence, data science, data serialization, data structures, data synchronization, dates, dates and times, deadlocks, debugging, declarative, deferred callbacks, delegates, delegation, dependency injection, design patterns, designers, destructors, DevOps, dictionaries, dictionary comprehensions, DI, distributed software, distributions, distros, DL, Docker, do-while, DSL, duck typing, dynamic binding, dynamic scope, dynamically scoped, dynamically typed, dynamic variables, eager evaluation, embedded, encapsulation, encryption, enumerated types, enumeration, enums, environment variables, errors, error handling, evaluation strategy, event-driven, event handlers, event loops, exception handling, executables, execution, expressions, FaaS, Facebook, fibers, fields, file input/output, file synchronization, file I/O, filter, first-class functions, fold, foreach loops, fork-join, floating-point, FP, frameworks, FreeBSD, frontend, functions, functional, functional programming, function overloading, garbage collection, generators, generator expressions, generics, generic programming, GitHub, global variables, GraphQL, gRPC, GUI, hashing, heap, heap allocation, hello world, higher-order functions, history, Homebrew, HTTP, idempotence, IDEs, import, imperative, immutable values, immutability, inheritance, influenced, influenced by, installation, integers, integration testing, interfaces, internationalization, interpreters, interprocess communication (IPC), iOS, IoT, IPCs, ISO Standard, iteration, JetBrains, JIT, JSON, JSON-RPC, JSON Web Tokens, JSON Web Token (JWT), Just-in-time (JIT), JWT, K8S, keywords, lambdas, lambda expressions, lambda functions, language spec, lazy evaluation, lexically scoped, lexical scoping, libraries, linters, Linux, lists, list comprehensions, literals, localization, local variables, locks, logging, logo, looping, loosely typed, loose typing, macOS, map, mascot, math, member variables, memoization, memory addressing, memory allocation, malloc, memory management, memory safety, message queues, metaclasses, meta-programming, methods, method overloading, MFA, ML, microservices, Microsoft, mobile dev, modules, modulo operators, monitoring, multiprocessing, multi-threaded, mutable values, mutability, mutex (mutual exclusion), namespaces, natural language processing (NLP), networking, network programming, NLP, non-blocking, non-blocking I/O, null, null reference, null coalescing operators, numbers, number precision, OAuth, objects, object code, object comparisons, object creation, object creators, object destruction, object destructors, object lifetime, object-oriented constructors, object-oriented programming, object serialization, observability, OOP, operators, operator overloading, optimizations, organizations, ORMs, packages, package managers, pass by reference, pass by value, parallel computing, parallel programming, parallelism, parameters, people, performance, persistence, pipelines, pointers, polymorphism, primitives, primitive data types, probability, procedural, processes, producer-consumer, programmers, programming, programming paradigm, program structure, program termination, Protocol Buffers (Protobuf), Protocol Buffers, Protobuf, proxies, public-key encryption, PKI, pure functions, race conditions, random, reactive, readability, records, recursion, reentrancy, refactoring, reference counting, reference types, referential transparency, reflection, regex, remote procedure calls (RPC), REPL, reserved words, REST, REST APIs, RHEL, RPCs, runtimes, safe navigation operators, SDK, secrets, security, serialization, serverless, server-side, sets, set comprehensions, side effects, signed integers, SMTP, Snapcraft, social media, sockets, source code, source-to-source compiler, SQL, SSL - SSL-TLS, Single sign-on (SSO), SSO, StackOverflow, stack, stack allocation, Stack overflow, standards, standard errors, standard input, standard library, standard operators, standard output, state, statements, strings, string concatenation, string functions, string operations, scheduling, scientific notation, scope, scope rules, scoping, scripting, static analyzers, statically scoped, static scoping, statically typed, static variables, statistics, strongly typed, structural typing, synchronization, syntax, systems programming, TCP/IP, TDD, testing, test frameworks, threads, thread-local storage (TLS), TLS, thread locking, thread locks, thread safety, thread scheduling, thread synchronization, times, timers, to JavaScript, tools, toolchain, transpiler, transpiling to JavaScript, truth values, tuples, type checking, type conversion, type inference, type safety, type system, web dev, while loops, work stealing, values, value types, variables, variable lifetime, variable scope, versions, virtual environments, virtual machine, Ubuntu, Unicode, unit testing, unsigned integers, usability, weak typing, weakly typed, Windows, wrappers, written using, x86-64-AMD64, XML, YAML;

topics-courses-books-docs.

. (navbar_software_architecture - see also navbar_microservices, navbar_design_patterns, navbar_programming_detailed - Based on MASTER navbar_golang_detailed. navbar_programming is the shorter one.


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agile_development.txt · Last modified: 2024/05/01 03:50 by 127.0.0.1

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