Extreme Programming (XP) is an agile software development methodology that focuses on frequent delivery of working software, close collaboration between developers and customers, and simplicity. The core practices of XP include planning game, small releases, simple design, pair programming, collective code ownership, continuous integration, and testing. XP requires high collaboration and discipline from team members. It works best for small teams where communication is easy.
Software Engineering (An Agile View of Process)ShudipPal
1) Agile processes emphasize self-organizing teams, communication, embracing change, and rapid delivery of working software. Several agile process models were created to address these principles, including Extreme Programming (XP), Adaptive Software Development (ASD), Dynamic Systems Development Method (DSDM), Scrum, and Crystal.
2) The Manifesto for Agile Software Development values individuals and interactions, working software, customer collaboration, and responding to change over processes, tools, documentation, contracts, and plans.
3) Successful agile processes deliver working software frequently, emphasize collaboration between customers and developers, and can adapt to changing requirements through incremental development.
The document discusses agile software development methods. It describes the problems with traditional waterfall models and introduces agile methodology as an alternative. Agile promotes continuous iteration, testing throughout development, and early delivery. Specific agile methods like extreme programming, scrum, and practices like user stories, test-driven development, pair programming, and refactoring are explained. The benefits of agile include flexibility, rapid feedback, and incremental delivery of working software.
This document provides an overview of the Unified Process, Agile process, and process assessment. It defines the Unified Process as an iterative framework derived from UML that includes inception, elaboration, construction, and transition phases. Agile processes like Extreme Programming emphasize iterative development, collaboration, and responding to change. Process assessment involves objectively evaluating an organization's ability to meet process goals through stages of initiation, preparation, assessment, analysis and reporting, and closure.
This document provides an overview of agile software development and extreme programming (XP). It discusses how agile methods aim to rapidly develop and deliver working software through an iterative process with customer collaboration. Key aspects of XP are described, including planning with user stories, small incremental releases, test-driven development, pair programming, collective code ownership, and continuous integration. The document contrasts plan-driven and agile development approaches and outlines some principles and practices of XP such as simple design, refactoring, and sustainable pace of work.
Agile Testing: Best Practices and Methodology Zoe Gilbert
Agile testing focuses on delivering value to customers through frequent testing and feedback. It differs from the traditional waterfall model which separates development and testing. The document discusses four main agile testing methodologies: behavior driven development, acceptance test driven development, exploratory testing, and session based testing. It also covers the agile testing quadrants framework and how companies can implement best practices for agile testing.
This document provides an overview of agile software development and project progress monitoring. It defines agile as an iterative development approach based on self-organizing teams. Key aspects of agile include adaptive planning, evolutionary development, time-boxed iterations, and responding rapidly to changes. Status is displayed prominently and daily stand-up meetings occur. Common agile methods discussed are Scrum, Extreme Programming, and Kanban. Tools to support agile include Jira, VersionOne, and continuous integration tools.
International Journal of Computational Engineering Research(IJCER)ijceronline
International Journal of Computational Engineering Research(IJCER) is an intentional online Journal in English monthly publishing journal. This Journal publish original research work that contributes significantly to further the scientific knowledge in engineering and Technology
The document provides an introduction to agile software development processes. It discusses the waterfall model and iterative and incremental model. It then defines agile as a collection of iterative development methodologies that are lightweight and value individuals, interactions, working software, and responding to change. The document outlines agile principles and practices like user stories, story points, test-driven development, pair programming, daily stand-up meetings, story boards, burn down charts, continuous integration, and retrospectives. It concludes with feedback from an agile team noting benefits like earlier defect detection but also challenges in applying new techniques and lack of product management involvement.
This document provides an overview of agile software development. It discusses the differences between the waterfall model and agile approaches. The key principles of agile include prioritizing individuals and interactions, working software, customer collaboration, and responding to change. An example agile process used by Elsevier is described, involving roles like product owners, business analysts, developers, and quality analysts. Extreme programming is mentioned as an agile method that focuses on user stories, small releases, pair programming, unit testing, and simplicity.
Lecture 1-4.ppt Introduction to Software Engineering: The evolving role of so...priyadharshini512852
UNIT- I: Introduction to Software Engineering: The evolving role of software, Changing Nature of Software, Industry 4.0 and Digital Transformation, Software myths. A Generic view of process: Software engineering- A layered technology, a process framework, Process models: The waterfall model, Incremental process models, Agile software development, Evolutionary process models, The Unified process, Product development Lifecycle – stages.
This document provides an overview of several agile software development methodologies:
- Extreme Programming (XP) focuses on incremental planning, small releases, simple design, test-first development, refactoring, pair programming, collective ownership, continuous integration, and sustainable pace.
- Adaptive Software Development is cyclical like evolutionary models and involves speculation, collaboration, and learning phases with short iterations.
- Lean development aims to maximize customer value while minimizing waste through practices like eliminating waste, amplifying learning, and continuous improvement.
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1. The document discusses various agile development processes including Extreme Programming (XP), Scrum, Adaptive Software Development (ASD), and Dynamic Systems Development Method (DSDM).
2. It provides an overview of the key principles and activities in each process, such as planning, design, coding, and testing in XP, and speculation, collaboration, and learning phases in ASD.
3. Scrum uses an iterative process with sprints and daily stand-up meetings to frequently deliver working software increments for customer feedback, while DSDM employs feasibility and business studies prior to iterative functional modeling, design, and implementation cycles.
The document discusses agile engineering practices for software development, including user stories/use cases, test-driven development, continuous integration, precise design, merciless refactoring, collective code ownership, coding conventions, pair programming, code reviews, and steps for adopting agile practices. It provides an overview of each practice and emphasizes adopting test-driven development first when transitioning to agile.
The document provides an overview of different categories of development methods including code and fix, serial, iterative, and agile approaches. It then discusses why an agile methodology would be suitable for the team described, which includes small teams without full-time roles like designers or testers. The document outlines several popular agile methodologies like Scrum, Extreme Programming (XP), Crystal, Dynamic Systems Development Method (DSDM), Lean, and Feature-Driven Development (FDD). It compares the characteristics, processes, artifacts, and ceremonies of Scrum and XP in more detail. Finally, it discusses how to implement Scrum for a specific project called Mercury Rod, including establishing roles, building a backlog, planning sprints,
- Prasanth Kumar Pendam has over 9.5 years of experience in manual testing including team leading activities. He has strong experience in test planning, test case design, and working with tools like CA Clarity PPM and HP Service Manager.
- He is proficient in various phases of the software development life cycle including requirements analysis, testing, documentation, and deployment testing.
- He has worked on several projects as a technology lead and senior test engineer, with responsibilities including requirement gathering, test case preparation, automation, and issue tracking.
This document discusses rapid software development methods like agile development and extreme programming (XP). It explains that agile methods use iterative development with customer involvement to quickly deliver working software. XP in particular emphasizes practices like test-driven development, pair programming, and frequent small releases. The document also covers rapid application development tools and the use of prototypes to help define requirements before full system development.
Overview of the agile software development. This contents was originally created for my team's internal workshop. It includes basic concept of the agile software development, and introduction of some practices and tools for it.
Agentic AI Desgin Principles in five slides.pptxMOSIUOA WESI
Discover the core design patterns that enable AI agents to think, learn, and collaborate like never before. From breaking down goals to coordinating across systems, these patterns form the foundation of advanced intelligent behavior. Learn how reinforcement learning, hierarchical planning, and multi-agent systems are transforming AI capabilities. This presentation offers a concise yet powerful overview of agentic design in action. Perfect for developers, researchers, and AI enthusiasts ready to build smarter systems.
This document provides an overview of agile software development and project progress monitoring. It defines agile as an iterative development approach based on self-organizing teams. Key aspects of agile include adaptive planning, evolutionary development, time-boxed iterations, and responding rapidly to changes. Status is displayed prominently and daily stand-up meetings occur. Common agile methods discussed are Scrum, Extreme Programming, and Kanban. Tools to support agile include Jira, VersionOne, and continuous integration tools.
International Journal of Computational Engineering Research(IJCER)ijceronline
International Journal of Computational Engineering Research(IJCER) is an intentional online Journal in English monthly publishing journal. This Journal publish original research work that contributes significantly to further the scientific knowledge in engineering and Technology
The document provides an introduction to agile software development processes. It discusses the waterfall model and iterative and incremental model. It then defines agile as a collection of iterative development methodologies that are lightweight and value individuals, interactions, working software, and responding to change. The document outlines agile principles and practices like user stories, story points, test-driven development, pair programming, daily stand-up meetings, story boards, burn down charts, continuous integration, and retrospectives. It concludes with feedback from an agile team noting benefits like earlier defect detection but also challenges in applying new techniques and lack of product management involvement.
This document provides an overview of agile software development. It discusses the differences between the waterfall model and agile approaches. The key principles of agile include prioritizing individuals and interactions, working software, customer collaboration, and responding to change. An example agile process used by Elsevier is described, involving roles like product owners, business analysts, developers, and quality analysts. Extreme programming is mentioned as an agile method that focuses on user stories, small releases, pair programming, unit testing, and simplicity.
Lecture 1-4.ppt Introduction to Software Engineering: The evolving role of so...priyadharshini512852
UNIT- I: Introduction to Software Engineering: The evolving role of software, Changing Nature of Software, Industry 4.0 and Digital Transformation, Software myths. A Generic view of process: Software engineering- A layered technology, a process framework, Process models: The waterfall model, Incremental process models, Agile software development, Evolutionary process models, The Unified process, Product development Lifecycle – stages.
This document provides an overview of several agile software development methodologies:
- Extreme Programming (XP) focuses on incremental planning, small releases, simple design, test-first development, refactoring, pair programming, collective ownership, continuous integration, and sustainable pace.
- Adaptive Software Development is cyclical like evolutionary models and involves speculation, collaboration, and learning phases with short iterations.
- Lean development aims to maximize customer value while minimizing waste through practices like eliminating waste, amplifying learning, and continuous improvement.
software design and architecture and its brief description about software patterns as well.software design and architecture and its brief description about software patterns as well.software design and architecture and its brief description about software patterns as well.software design and architecture and its brief description about software patterns as well.software design and architecture and its brief description about software patterns as well.software design and architecture and its brief description about software patterns as well.software design and architecture and its brief description about software patterns as well.software design and architecture and its brief description about software patterns as well.software design and architecture and its brief description about software patterns as well.software design and architecture and its brief description about software patterns as well.software design and architecture and its brief description about software patterns as well.software design and architecture and its brief description about software patterns as well.
1. The document discusses various agile development processes including Extreme Programming (XP), Scrum, Adaptive Software Development (ASD), and Dynamic Systems Development Method (DSDM).
2. It provides an overview of the key principles and activities in each process, such as planning, design, coding, and testing in XP, and speculation, collaboration, and learning phases in ASD.
3. Scrum uses an iterative process with sprints and daily stand-up meetings to frequently deliver working software increments for customer feedback, while DSDM employs feasibility and business studies prior to iterative functional modeling, design, and implementation cycles.
The document discusses agile engineering practices for software development, including user stories/use cases, test-driven development, continuous integration, precise design, merciless refactoring, collective code ownership, coding conventions, pair programming, code reviews, and steps for adopting agile practices. It provides an overview of each practice and emphasizes adopting test-driven development first when transitioning to agile.
The document provides an overview of different categories of development methods including code and fix, serial, iterative, and agile approaches. It then discusses why an agile methodology would be suitable for the team described, which includes small teams without full-time roles like designers or testers. The document outlines several popular agile methodologies like Scrum, Extreme Programming (XP), Crystal, Dynamic Systems Development Method (DSDM), Lean, and Feature-Driven Development (FDD). It compares the characteristics, processes, artifacts, and ceremonies of Scrum and XP in more detail. Finally, it discusses how to implement Scrum for a specific project called Mercury Rod, including establishing roles, building a backlog, planning sprints,
- Prasanth Kumar Pendam has over 9.5 years of experience in manual testing including team leading activities. He has strong experience in test planning, test case design, and working with tools like CA Clarity PPM and HP Service Manager.
- He is proficient in various phases of the software development life cycle including requirements analysis, testing, documentation, and deployment testing.
- He has worked on several projects as a technology lead and senior test engineer, with responsibilities including requirement gathering, test case preparation, automation, and issue tracking.
This document discusses rapid software development methods like agile development and extreme programming (XP). It explains that agile methods use iterative development with customer involvement to quickly deliver working software. XP in particular emphasizes practices like test-driven development, pair programming, and frequent small releases. The document also covers rapid application development tools and the use of prototypes to help define requirements before full system development.
Overview of the agile software development. This contents was originally created for my team's internal workshop. It includes basic concept of the agile software development, and introduction of some practices and tools for it.
Agentic AI Desgin Principles in five slides.pptxMOSIUOA WESI
Discover the core design patterns that enable AI agents to think, learn, and collaborate like never before. From breaking down goals to coordinating across systems, these patterns form the foundation of advanced intelligent behavior. Learn how reinforcement learning, hierarchical planning, and multi-agent systems are transforming AI capabilities. This presentation offers a concise yet powerful overview of agentic design in action. Perfect for developers, researchers, and AI enthusiasts ready to build smarter systems.
And overview of Nasdanika Models and their applicationsPavel Vlasov
This presentation provides an overview of Nasdanika metamodels and their applications - reference documentation, analysis, code generation, use with GenAI operating on complex structures instead of text - humans don't think in text, they think in images (diagrams) - objects and their relationships. Translating human thoughts to text is an "expensive" and error prone process. And this is where diagramming, modeling, and generation of textual description from a model can help humans and GenAI to communicate better.
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📄 Getting Started with BoxLang – CFCamp 2025 Session with Luis Majano
Explore the foundations of BoxLang, the next-generation dynamic JVM language created by Ortus Solutions, in this introductory session led by its creator, Luis Majano, at CFCamp 2025.
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Frontier AI Regulation: What form should it take?Petar Radanliev
Frontier AI systems, including large-scale machine learning models and autonomous decision-making technologies, are deployed across critical sectors such as finance, healthcare, and national security. These present new cyber-risks, including adversarial exploitation, data integrity threats, and legal ambiguities in accountability. The absence of a unified regulatory framework has led to inconsistencies in oversight, creating vulnerabilities that can be exploited at scale. By integrating perspectives from cybersecurity, legal studies, and computational risk assessment, this research evaluates regulatory strategies for addressing AI-specific threats, such as model inversion attacks, data poisoning, and adversarial manipulations that undermine system reliability. The methodology involves a comparative analysis of domestic and international AI policies, assessing their effectiveness in managing emerging threats. Additionally, the study explores the role of cryptographic techniques, such as homomorphic encryption and zero-knowledge proofs, in enhancing compliance, protecting sensitive data, and ensuring algorithmic accountability. Findings indicate that current regulatory efforts are fragmented and reactive, lacking the necessary provisions to address the evolving risks associated with frontier AI. The study advocates for a structured regulatory framework that integrates security-first governance models, proactive compliance mechanisms, and coordinated global oversight to mitigate AI-driven threats. The investigation considers that we do not live in a world where most countries seem to be wishing to follow our ideals, for various reasons (competitiveness, geo-political dominations, hybrid warfare, loss of attractiveness of the European model in the Big South, etc.), and in the wake of this particular trend, this research presents a regulatory blueprint that balances technological advancement with decentralised security enforcement (i.e., blockchain).
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4. Agile Development Methodologies – SW Dev Methodologies
XP
Another common use agile methodology is the one called “Extreme
Programming” or XP, which involves a high level of participation and
relationship between both parts (clients and developers) of the
software exchange.
It focuses on the continuous development and
periodic functional deliverables to the client.
(Similar to Scrum’s sprints)
The clients inspire the continuous development
making emphasis on the software’s higher
functions and giving testimony of the product;
the developers base each software update on
the client’s feedback, while they test new
innovations every few weeks.
(Naydenov, 2019)
5. (Wrike, n.d.)
Agile Development Methodologies – SW Dev Methodologies
The focus of XP is based on 12 specific support processes for the
development of software:
1. Plan the game
2. Small deliverables
3. Acceptance testing (user)
4. Simple design
5. Pair programming
6. Test based development
7. Refactorization
8. Continuous integration
9. Collective code property
10. Coding standards
11. Metaphors
12. Sustainable rythm
6. (Pressman, 2010)
Agile Development Methodologies – SW Dev Methodologies
The high collaboration level of this methodology
requires of a minimal level of formal
documentation, which turns it into an efficient
and persistent delivery model.
Nevertheless, this methodology also requires a high level of discipline
and involvement by all the participants in the software system, being
from the IT area or not. Additionally, it requires that all members are
able to use the methodology to get high level results, which makes it to
work better on small teams that are able to communicate with ease.
7. (Pressman, 2010)
Agile Development Methodologies – SW Dev Methodologies
XP is very useful when the requirements continuously change or when there
is not enough confidence about the systems functionality. It additionally
recommends frequent product delivered on short development cycles.
8. (Hamilton, 2021)
Agile Development Methodologies – SW Dev Methodologies
XP development maintains a focus on the client, collecting the business
requirements in the format of “stories”, which are then developed in
short iterations of 14 days in average.
On each iteration, the
phases of coding, unit
testing and system
testing are done, adding
either small or large
functionalities.
9. (Hamilton, 2021)
Agile Development Methodologies – SW Dev Methodologies
Test cases
Requirements
Strategy plan Most recent version
Defects
Next iteration
New user
stories
User stories
Strategy
planning
Iteration
Story
metrics
Acceptance
testing
Small
deliverable
1. Planning:
• Stakeholder and sponsor identification
• Infrastructure requirements
• Security information recollection
• SLA (Service Level Agreements)
2. Analysis (Management):
• Get the stories together
• Prioritize stories
• Stories estimation
• Define iterations length (time)
• Planning of development and QA (Quality Assurance) requirements
3. Design:
• Activities breakdown
• Test scenarios preparation for each task
• Regression automation design
10. Agile Development Methodologies – SW Dev Methodologies
4. Execution:
• Coding
• Unit testing
• Manual execution of test scenarios
• Defect report generation
• Half and full iterations revisions.
Test cases
Requirements
Strategy plan Most recent version
Defects
Next iteration
New user
stories
User stories
Strategy
planning
Iteration
Story
metrics
Acceptance
testing
Small
deliverable
Closure:
• Pilot launch
• Training
• Production and support
• SLA (service-level agreement) Guarantee assurance
• Review SOA (Service-oriented architecture) strategy
5. Testing & wrapping:
• Small deliverables
• Regression testing
• Demos and revisions
• New stories development
• Process improvement based on revisions
• Story metrics
(Hamilton, 2021)
11. Agile Development Methodologies – SW Dev Methodologies
XP was developed back in the 1990’s by Kent Beck, with the goal of
solving software projects by supporting quick releases in short
development cycles, to improve software quality and allow developers
to respond to changing customer requirements.
The methodology was challenged by the software development
community, arguing that it was not a formal methodology and it lacked
the sufficient rules for management. Don Wells published a set of rules
to counter those claims.
(Lucidchart, n.d.)
12. Agile Development Methodologies – SW Dev Methodologies
Planning:
This is the core of the XP process. The customer writes user stories,
which define the functionality the customer would like to see, along
with the business value and priority of each of those features.
From there, the team creates a release schedule and divides the project
into iterations (one to three weeks long). Project managers might want
to create a timeline or a simplified Gantt chart to share the schedule
with the team.
(Lucidchart, n.d.)
13. (Lucidchart, n.d.)
Agile Development Methodologies – SW Dev Methodologies
Analysis (Management):
The project manager will set up the team that works best for the
methodology, selecting the right individuals that will work collaboratively
and effectively communicate to avoid any slipups. This stage involves:
• Creating an open workspace for your team
• Setting a sustainable pace (i.e. determining the right length for
iterations)
• Scheduling a daily standup meeting
• Measuring project velocity (the amount of work getting done on your
project)
• Reassigning work to avoid bottlenecks or knowledge loss
• Changing the rules if XP isn’t working perfectly for the team
14. Agile Development Methodologies – SW Dev Methodologies
Design:
This rule goes back to the value of simplicity: Start with the simplest
design because it will take less time to complete than the complex
solution. Don’t add functionality early.
(Lucidchart, n.d.)
Refactor often to keep your code clean and concise. Create spike
solutions to explore solutions to potential problems before they put
your team behind.
15. Agile Development Methodologies – SW Dev Methodologies
Kent Beck and Ward Cunningham also created class-responsibility-
collaboration (CRC) cards to use as part of the XP methodology.
(Lucidchart, n.d.)
These cards allow the entire project team to design the system and see
how objects interact.
16. Agile Development Methodologies – SW Dev Methodologies
Execution:
XP practices collective code ownership: Everyone reviews code and any
developer can add functionality, fix bugs, or refactor. For collective code
ownership to work, the team should:
(Lucidchart, n.d.)
• Choose a system metaphor (standardized naming scheme).
• Practice pair programming. Team members work in pairs, at a single
computer, to create code and send it into production. Only one pair
integrates code at a time.
• Integrate and commit code into the repository every few hours.
The customer should be available, preferably on site, during this entire
process so they can provide feedback.
17. Agile Development Methodologies – SW Dev Methodologies
Testing & Wrapping:
The team performs unit tests and fixes bugs before the code can be
released. They also run acceptance tests frequently.
(Lucidchart, n.d.)
Unit tests isolate and exercise specific units of your code. In C#, you can
think of a unit as a method. You thus write a unit test by writing
something that tests something specific about that method in isolation.
18. References
• Pressman, Roger. (2010). Ingeniería del Software. Un enfoque práctico. Séptima edición. México. McGraw Hill Interamericana
Editores.
• Naydenov, Pavel. (2019). Different Agile Methodologies: Find Which One Fits Best Your Needs. Recovered on July 27th from
Kanbanize: https://kanbanize.com/blog/right-agile-methodology-for-your-project/
• Wrike. (n.d.). What are the Different Types of Agile Methodologies? Recovered on Juy 29th from Wrike:
https://www.wrike.com/project-management-guide/faq/what-are-the-different-types-of-agile-methodologies/
• Hamilton, Thomas (2021). Agile Methodology: What is Agile Software Development Model & Process in Testing? Recovered on
July 28th from Guru99: https://www.guru99.com/agile-scrum-extreme-testing.html#7
• Lucidchart. (n.d.). What Is Extreme Programming? An Overview of XP Rules and Values. Recovered on November 19th from
Lucidchart: https://www.lucidchart.com/blog/what-is-extreme-programming
Agile Development Methodologies – SW Dev Methodologies