extreme programming seminar or presentation report
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29-12-2009, 03:28 PM

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Extreme programming (XP) is a lightweight methodology for small-to-medium sized teams developing software in the face of vague or rapidly changing requirements. XP is a deliberate and disciplined approach to software development. XP stresses consumer satisfaction. An extreme attempt to dramatically simplify the process of developing software systems is made focusing on what delivers value: the requirements for the system or the code that implements the system. Requirement specification in the form of User Stories, code development by pairs of developers (Pair Programming), simplification of the code through Refactoring and careful repeated testing are the outstanding features of extreme Programming technique. XP improves a software project and implimentation in four essential ways; communication, simplicity, feedback, and courage. XP has rejuvenated the notion of evolutionary design with practices that allow evolution to become a viable design strategy.

Extreme Programming (XP) is actually a deliberate and disciplined approach to software development. About six years old, it has already been proven at many companies of all different sizes and industries worldwide. XP is successful because it stresses customer satisfaction. The methodology is designed to deliver the software your customer needs when it is needed. XP empowers software developers to confidently respond to changing customer requirements, even late in the life cycle. This methodology also emphasizes teamwork. Managers, customers, and developers are all part of a team dedicated to delivering quality software. XP implements a simple, yet effective way to enable groupware style development.
XP improves a software project and implimentation in four essential ways; communication, simplicity feedback, and courage. XP programmers communicate with their customers and fellow programmers. They keep their design simple and clean. They get feedback by testing their software starting on day one. They deliver the system to the customers as early as possible and implement changes as suggested. With this foundation XP programmers are able to courageously respond to changing requirements and technology. XP is different. It is a lot like a jig saw puzzle. There are many small pieces. Individually the pieces make no sense, but when combined together a complete picture can be seen. This is a significant departure from traditional software development methods and ushers in a change in the way we program.

If one or two developers have become bottlenecks because they own the core classes in the system and must make all the changes, then try collective code ownership. You will also need unit tests. Let everyone make changes to the core classes whenever they need to. You could continue this way until no problems are left. Then just add the remaining practices as you can. The first practice you add will seem easy. You are solving a large problem with a little extra effort. The second might seem easy too. But at some point between having a few XP rules and all of the XP rules it will take some persistence to make it work. Your problems will have been solved and your project and implimentation is under control. It might seem good to abandon the new methodology and go back to what is familiar and comfortable, but continuing does pay off in the end. Your development team will become much more efficient than you thought possible. At some point you will find that the XP rules no longer seem like rules at all. There is a synergy between the rules that is hard to understand until you have been fully immersed. This up hill climb is especially true with pair programming, but the pay off of this technique is very large. Also, unit tests will take time to collect, but unit tests are the foundation for many of the other XP practices so the pay off is very great.

XP project and implimentations are not quiet; there always seems to be someone talking about problems and solutions. People move about, asking each other questions and trading partners for programming. People spontaneously meet to solve tough problems, and then disperse again. Encourage this interaction, provide a meeting area and set up workspaces such that two people can easily work together. The entire work area should be open space to encourage team communication. The most obvious way to start extreme programming (XP) is with a new project and implimentation. Start out collecting user stories and conducting spike solutions for things that seem risky. Spend only a few weeks doing this. Then schedule a release planning meeting. Invite customers, developers, and managers to create a schedule that everyone agrees on. Begin your iterative development with an iteration planning meeting. Now you're started.
Usually project and implimentations come looking for a new methodology like XP only after the project and implimentation is in trouble. In this case the best way to start XP is to take a good long look at your current software methodology and figure out what is slowing you down. Add XP to this problem first. For example, if you find that 25% of the way through your development process your requirements specification becomes completely useless, then get together with your customers and write user stories instead.
If you are having a chronic problem with changing requirements causing you to frequently recreate your schedule, then try a simpler and easier release planning meeting every few iterations. (You will need user stories first though.) Try an iterative style of development and the just in time style of planning of programming tasks. If your biggest problem is the number of bugs in production, then try automated acceptance tests. Use this test suite for regression and validation testing. If your biggest problem is integration bugs then try automated unit tests. Require all unit tests to pass (100%) before any new code is released into the code repository.
Extreme programming implements several software development practices. But not all of them are exclusive to XP. These practices work well and contribute significantly to the project and implimentationâ„¢s overall success. There are 12 practices in XP.
1. Planning Game
2. Small releases
3. Metaphor
4. Simple design
5. Test Driven Development
6. Refactoring
7. Pair programming
8. Collective ownership
9. Continuous development
10. Sustainable pace
11. On-site customer
12. Coding standards

User stories serve the same purpose as use cases but are not the same. They are used to create time estimates for the release planning meeting. They are also used instead of a large requirements document. User Stories are written by the customers as things that the system needs to do for them. They are similar to usage scenarios, except that they are not limited to describing a user interface. They are in the format of about three sentences of text written by the customer in the customersâ„¢ terminology without techno-syntax.
User stories also drive the creation of the acceptance tests. One or more automated acceptance tests must be created to verify the user story has been correctly implemented.
One of the biggest misunderstandings with user stories is how they differ from traditional requirements specifications. The biggest difference is in the level of detail. User stories should only provide enough detail to make a reasonably low risk estimate of how long the story will take to implement. When the time comes to implement the story developers will go to the customer and receive a detailed description of the Developers estimate how long the stories might take to implement. Each story will get a 1, 2 or 3-week estimate in "ideal development time". This ideal development time is how long it would take to implement the story in code if there were no distractions, no other assignments, and you knew exactly what to do. Longer than 3 weeks means you need to break the story down further. Less than 1 week and you are at too detailed a level, combine some stories. About 80 user stories plus or minus 20 is a perfect number to create a release plan during release planning.
Another difference between stories and a requirements document is a focus on user needs. You should try to avoid details of specific technology, data base layout, and algorithms. You should try to keep stories focused on user needs and benefits as opposed to specifying GUI layouts.

Acceptance tests are created from user stories. During an iteration the user stories selected during the iteration planning meeting will be translated into acceptance tests. The customer specifies scenarios to test when a user story has been correctly implemented. A story can have one or many acceptance tests, what ever it takes to ensure the functionality works.
Acceptance tests are black box system tests. Each acceptance test represents some expected result from the system. Customers are responsible for verifying the correctness of the acceptance tests and reviewing test scores to decide which failed tests are of highest priority. Acceptance tests are also used as regression tests prior to a production release.
A user story is not considered complete until it has passed its acceptance tests. This means that new acceptance tests must be created each iteration or the development team will report zero progress. Quality assurance (QA) is an essential part of the XP process. On some project and implimentations QA is done by a separate group, while on others QA will be integrated into the development team itself. In either case XP requires development to have much closer relationship with QA.
Acceptance tests should be automated so they can be run often. The acceptance test score is published to the team. It is the team's responsibility to schedule time to each iteration to fix any failed tests. The name acceptance test was changed from functional tests. This better reflects the intent, which is to guarantee that customerâ„¢s requirements have been met and the system is acceptable.
Unit testing is a development practice and part of the extreme programming (XP) methodology. But this does not depend on other XP practices; it may be used with other software development process. Unit testing is not done by specialized testers; it is a part of the daily development routine of a programmer. Unit testing means testing a unit of code. A unit of a code is generally a class in an object oriented system. It could also be a component or any other piece of related code. A unit test is an automated test, where one or more methods of one or more classes are invoked to create an observable result.
Automated means that the results are verified automatically. The tests are usually written in the same computer language as the production code. The test verification is therefore code, which compares actual results to the expected results. If a result is unexpected, the test fails. This kind of testing is in contrast to the usual print lines mixed into the production code, where the programmer looks at the output on the command line and tries to figure out whether the code behaves as expected.
Unit tests are written in java using JUnit. JUnit is a testing framework written in Java. JUnit defines how to structure test cases and provides tools to run them. The tests are usually executed in VisualAge.
Principle methods of a class should be tested. Tests should write for the cases that are critical. Writing a test guarantees that if a developer changes the code inn an unanticipated way, the error will be detected immediately when the tests are run. Confidence in the code is enhanced if all tests are still running after a day of coding. Each test should be independent of other tests. This reduces the complexity of the tests and it avoids false alarms because of unexpected side effects. One test method tests one or more methods of production code the developer should write the unit tests while (or before or after) developing the production code. Tests should be run before and after refactoring a piece of code, before starting to implement a new functionality in the system and during integration.

A release planning meeting is used to create a release plan, which lays out the overall project and implimentation. The release plan is then used to create iteration plans for each individual iteration. It is important for technical people to make the technical decisions and business people to make the business decisions. Release planning has a set of rules that allows everyone involved with the project and implimentation to make their own decisions. The rules define a method to negotiate a schedule everyone can commit to.
The essence of the release planning meeting is for the development team to estimate each user story in terms of ideal programming weeks. An ideal week is how long you imagine it would take to implement that story if you had absolutely nothing else to do. No dependencies, no extra work, but do include tests. The customer then decides what story is the most important or has the highest priority to be completed.
User stories are printed or written on cards. Together developers and customers move the cards around on a large table to create a set of stories to be implemented as the first (or next) release. A useable, testable system that makes good business sense delivered early is desired. You may plan by time or by scope. The project and implimentation velocity is used to determine either how many stories can be implemented before a given date (time) or how long a set of stories will take to finish (scope). When planning by time multiply the number of iterations by the project and implimentation velocity to determine how many user stories can be completed. When planning by scope divide the total weeks of estimated user stories by the project and implimentation velocity to determine how many iterations till the release is ready.
Choose a system metaphor to keep the team on the same page by naming classes and methods consistently. What you name your objects is very important for understanding the overall design of the system and code reuse as well. Being able to guess at what something might be named if it already existed and being right is a real time saver. Choose a system of names for your objects that everyone can relate to without specific, hard to earn knowledge about the system. For example the Chrysler payroll system was built as a production line. At another auto manufacturer car sales were structured as a bill of materials. There is also a metaphor known as the naive metaphor which is based on your domain itself. But don't choose the naive metaphor unless it is simple enough.
Create spike solutions to figure out answers to tough technical or design problems. A spike solution is a very simple program to explore potential solutions. Build a system that only addresses the problem under examination and ignore all other concerns. Most spikes are not good enough to keep, so expect to throw it away. The goal is reducing the risk of a technical problem or increase the reliability of a user story's estimate.
When a technical difficulty threatens to hold up the system's development put a pair of developers on the problem for a week or two and reduces the potential risk.
The development team needs to release iterative versions of the system to the customers often. The release planning meeting is used to discover small units of functionality that make good business sense and can be released into the customer's environment early in the project and implimentation. This is critical to getting valuable feedback in time to have an impact on the system's development. The longer you wait to introduce an important feature to the system's users the less time you will have to fix it.

Iterative Development adds agility to the development process. Divide development schedule into about a dozen iterations of 1 to 3 weeks in length. Keep the iteration length constant through out the project and implimentation. This is the heartbeat of your project and implimentation. It is this constant that makes measuring progress and planning simple and reliable in XP

Do not schedule programming tasks in advance. Instead have an iteration planning meeting at the beginning of each iteration to plan out what will be done. Just-in-time planning is an easy way to stay on top of changing user requirements. It is also against the rules to look ahead and try to implement anything that it is not scheduled for this iteration. There will be plenty of time to implement that functionality when it becomes the most important story in the release plan.

It is important to take iteration deadlines seriously. Track progress during an iteration. If it looks like you will not finish all of your tasks then call another iteration planning meeting, re-estimate, and remove some of the tasks. Concentrate your effort on completing the most important tasks as chosen by your customer, instead of having several unfinished tasks chosen by the developers.
It may seem silly if your iterations are only one week long to make a new plan, but it pays off in the end. By planning out each iteration as if it was your last you will be setting yourself up for an on-time delivery of your product.
9.1. BUGS
When a bug is found tests are created to guard against it coming back. A bug in production requires an acceptance test be written to guard against it. Creating an acceptance test first before debugging helps customers concisely define the problem and communicate that problem to the programmers. Programmers have a failed test to focus their efforts and know when the problem is fixed.
Given a failed acceptance test, developers can create unit tests to show the defect from a more source code specific point of view. Failing unit tests give immediate feedback to the development effort when the bug has been repaired. When the unit tests run at 100% then the failing acceptance test can be run again to validate the bug is fixed.

The project and implimentation velocity (or just velocity) is a measure of how much work is getting done on your project and implimentation. To measure the project and implimentation velocity you simply add up the estimates of the user stories that were finished during the iteration. It's just that simple. You also total up the estimates for the tasks finished during the iteration. Both of these measurements are used for iteration planning.
During the iteration planning meeting customers are allowed to choose the same number of user stories equal to the project and implimentation velocity measured in the previous iteration. Those stories are broken down into technical tasks and the team is allowed to sign up for the same number of tasks equal to the previous iteration's project and implimentation velocity.
This simple mechanism allows developers to recover and clean up after a difficult iteration and averages out estimates. Your project and implimentation velocity goes up by allowing developers to ask the customers for another story when their work is completed early and no clean up tasks remain.
A few ups and downs in project and implimentation velocity are expected. You should use a release planning meeting to re-estimate and re-negotiate the release plan if your project and implimentation velocity changes dramatically for more than one iteration. Expect the project and implimentation velocity to change again when the system is put into production due to maintenance tasks. Project velocity is about as detailed a measure as you can make that will be accurate. Don't bother dividing the project and implimentation velocity by the length of the iteration or the number of people. This number isn't any good to compare two project and implimentation's productivity. Each project and implimentation team will have a different bias to estimating stories and tasks, some estimate high, some estimate low. It doesn't matter in the long run. Tracking the total amount of work done during each iteration is the key to keeping the project and implimentation moving at a steady predictable pace.
The problem with any project and implimentation is the initial estimate. Collecting lots of details does not make your initial estimate anything other than a guess. Worry about estimating the overall scope of the project and implimentation and get that right instead of creating large documents. Consider spending the time you would have invested into creating a detailed specification on actually doing a couple iterations of development. Measure the project and implimentation velocity during these initial explorations and make a much better guess at the project and implimentation's total size.

Pair or collaborative programming is where two programmers develop software side by side at one computer .for a 15%increase in program development hours, pair programming improves design quality, reduces staffing risk, enhances technical skills, improves team communications, and is considered as more enjoyable at statistically significant levels. Here programmers work on same algorithm, design, or programming task.
Different aspects of organizational and software engineering support pair programming as following:
Satisfaction: people working in pairs have found the experience more enjoyable than working alone.
Design quality: programs produced by pairs were notably shorter than those delivered by solo developers.
Continuous reviews: pair programmingâ„¢s shoulder-to-shoulder technique serves as a continual design and code review, leading to more efficient defect removal rates .review ha s a unique educational capability. The process of analyzing and critiquing artifacts produced by others is a potent method for learning about languages, design techniques, application domains and so forth. Mistakes are found as they are entered, saving the cost of compilation and providing the economic benefit of early defect identification and removal.
Problem solving: team acquires the ability to solve the Ëœimpossible problems faster.
Learning: pair programmers get a chance to learn from each other.
Team building and communication: people learn to discuss and work together. This improves team communication and effectiveness.
Pair programming contributes in three ways:
1. People learn to work together.
2. Learning to work together means that people on the team will share both problems and solutions more quickly. Teamwork is enhanced.
3. Raises the communication bandwidth and frequency within the project and implimentation, increasing overall information flow within the team. Rotating partnersâ„¢ increases the overall information flow farther.
Staff and project and implimentation management: because multiple people have familiarity with each piece of code, pair programming reduces staff-loss risk.
Refactoring allows us to revise the structure or the design of an existing piece of software so that it becomes easier to add or modify functionality. It is important to be able to revise the softwareâ„¢s design in this manner because otherwise only additions or modifications that are in some sense consistent with the original design can be made. Individual refactoring steps should be small and each should be checked to avoid bugs. A key feature of refactoring method is that after each refactoring step we test the modified software to ensure that the software continues to work as it did before the refactoring.
Refactorings can be classified into two groups, syntactic and semantic.
A syntactic refactoring step is a change in some essentially syntactic aspect of the piece of the software. An important point to note about such Refactorings is that essentially all of the needed work can be carried out by Refactoring Browsers and if this is done there is no need to carry out a test following the refactoring because the browser would have made sure that all the necessary changes have been properly carried out.
Semantic Refactorings modify the logic of the software and how it functions. Hence the browsers will not be able to make the needed changes. The designer has to do it. Following such a refactoring, the designer will have to test to ensure that the refactoring has been done correctly.
XP practices are natural. At least the practices are trying to go with the natural instincts of people (and of programmers). They try to set up behaviors which are self-sustaining, not through discipline or through pressure, but because they have results which are good and which are proximate enough to the behaviors so as to reinforce them. XP ensures that you have the communication you need, without increasing the documentation you have to write.
Documentation or Communication: It true that programmer doesnâ„¢t like to write documents. It's also true that on many project and implimentations the documents get out of date. It's conventional to blame the latter on the former, but the truth is that when the schedule gets tight, managers and project and implimentation leaders are just as inclined to skip the updates as are programmers. Programmers don't like documentation because managers make it clear that what they really want is the program. What do programmers like They like to program. They like to write code; they like to make it work; they like to make it beautiful. How can we go with that natural instinct and meet our needs for documentation Documents are used to communicate: to communicate requirements, internal design, status and information needed externally to the project and implimentation. Let's look at those in turn. For each, we'll focus on what needs to be communicated and how XP helps make sure that the communication happens.
Communicating Requirements: Some project and implimentations work from large requirements documents specifying what needs to be in the product. There are some issues with the use of such documents, and sometimes they are quite important:
¢ Documents don't really communicate very well.
¢ Documents aren't easy to write for customers.
¢ Documents take time.
Requirements documents may sometimes be necessary, but they are not without cost. XP tries a more natural way to communicate requirements: conversation.
In XP, there is the notion of the "On-Site Customer". Someone who knows what is needed -- ideally the actual customer or user -- is near the team at all times. They communicate the requirements directly, through several of the XP practices.
Release Planning Communicates Requirements: During the release planning process, the Customer explains all the requirements stories. There is discussion with the programmers until they understand the stories well enough to estimate them. This is communicating requirements.
Iteration Planning Communicates Requirements: During the iteration planning process, the Customer explains all the stories in more detail: enough detail for the programmers to figure out the detailed tasks to implement them. This is communicating requirements
Acceptance Tests Communicate Requirements: The XP customer defines, and the team writes, acceptance tests for all the stories. These tests serve as executable requirements definitions. They can also be used quite readily as part of a tracking and documentation process showing that requirements have been implemented.
Informal Conversations Communicate Requirements: Because the Customer is On Site, she is also available for questions to clarify details of the requirements. She quickly learns to control how many interruptions she gets by improving the information she communicates during release and iteration planning. Too little, and she gets too many interruptions. Too much and she spends too much time in preparation. She can balance things between writing, conversation, and question answering to suit her own needs.
Natural Communication of Requirements: the On-Site Customer practice converts an inefficient paperwork exercise into a dynamic conversation discussing requirements as the project and implimentation goes along. Everything is communicated -- must be communicated if the tests are to run -- and the balance between paper, presentation, conversation, and question answering can be adjusted to suit the participants.
Communicating Internal Design: All the members of the team need to understand the system. They need to be able to advance the code, to make it do whatever is needed. They need to do those changes in a way that are consistent with the overall shape of the code, and the direction it is moving: we might say with its design.
One way to be sure that everyone on the team understands and follows the design is to create a design and document it with UML diagrams or words or both. Everyone would agree that you shouldn't do too much of this up front, but it's hard to say how much is too much. To communicate a design in this way, you need good-looking documents and more comprehensive.
Release Planning Communicates Design: The XP release planning process includes a step where the programmers take the stories and discuss them among themselves, in order to estimate them. To estimate them, they figure out roughly how to implement each story. Guess what: the programmers are communicating about design. And watch them carefully: sometimes when they think they might forget, they write a note about how to implement a story, right on the card. They're recording enough about the design to remember it later. This is design, and communication of design.
Iteration Planning Communicates Design: The XP Iteration planning process includes a step where the programmers brainstorm the tasks to do each story, putting the tasks on the whiteboard for later signup. This is a design step. The whole team is participating in the design, and seeing it take shape. The key design components are left on the whiteboard until implemented. This is design, and communication of design.
Day to Day Development Communicates Design: In Quick Design Session: a few programmers get together and do a little CRC session or draw some UML or discuss how to do something. When they come up with something interesting, they tell the folks who weren't in the session about it. They do this naturally: it's interesting and they want to talk about it. If they come up with an important notion, they'll draw and write it on the whiteboard and leave it up while it's useful. This is design, and communication of design.
Pair Programming and Collective Ownership Communicates Design: XP teams practice pair programming. Pairs switch around daily, with everyone working with everyone. XP teams practice collective code ownership, so that everyone can (and does) work on all parts of the system from time to time. This is communication of design.
Refactoring Communicates Design: An essential aspect of XP is refactoring. Martin Fowler's book Refactoring is subtitled Improving the design of existing code. Refactoring is a process whereby the programmers (in pairs, of course) examine and consider whether the code is reflecting the design in their heads, and consider what the code is saying about what the design should be. Then they improve the code to improve the design. This is design, and communication of design.
Natural Communication of Design: Within the XP team, the practices bring about a high level of common understanding of the design. Using the natural willingness of programmers to talk about what they are doing and how cool it is, and using pair programming, XP teams spread what needs to be known without the need for much formality.
Communicating Status: Some aspects of your status certainly need to be communicated externally to the project and implimentation team. These communications will often -- but not always -- lead to documents.
Standup Meeting: XP recommends a daily "standup" meeting, where the team stands in a circle and quickly raises issues that people need to understand. This will include design issues and the like, but the main thing is a quick review of status, requests for help, problems encountered, and discoveries made. The standup meeting makes sure that all the attendees know about everything that's going on. Naturally, customers and managers are invited, and should attend.
Big Visible Chart: The important status information that needs to be fresh in people's minds all the time should be represented in Big Visible Chart. Here are some examples of useful charts:
¢ Story Chart. You need to know how you're doing on getting stories done. Consider a simple bar chart, the height showing the total number of stories, with the number currently completed filled in. This chart shows any growth in the requirements, and shows progress toward completion, at a glance.
¢ Story Wall. Some teams keep all the story cards up on a wall, arranged in iteration order: the planned order of implementation. When the customer changes her mind about the order, or about a story, the wall is rearranged. Stories that are done are marked, perhaps with a bright green diagonal line through the card.
¢ Iteration Wall. The plan and status for the current iteration should be visible to all, all the time. Some teams write the iteration plan on the whiteboard. Typically when a task or story is done, the team will mark it completed. A glance at the wall tells everyone what's up. Other teams fill the wall with the story and task cards, marking them complete as they get finished.
Communicating Externally: You may need external documentation to support the product, either at the design level or for user documentation. The natural flow of the process supports getting the work done.
Status Reports: Send management copies of your Big Visible Charts, tied together with a few paragraphs.
Requirements Tracking: If you need requirements tracking, try associating stories with acceptances tests, and maybe include a little version information extracted from your code management software.
The details of what to document and how to produce the information are always unique to the project and implimentation and its people. But the focus that XP would recommend is always this:
1. Communicate using the hottest medium you possibly can: from face-to-face conversation at a whiteboard down through phone conversation, through email, video or audiotape, down to paper or its online equivalent.
2. Find ways to have people's everyday activities embody communication. Find ways to have their everyday activities automatically generate the information that needs to be published. Find ways to extract information from development artifacts like source code.
3. Treat periodic or specialized documents as stories: use your existing planning mechanisms to get them done.
XP is distinguished from other methodologies by:
Its early and concrete and continuing feedback from short cycles.
Its incremental planning approach which quickly comes up with an overall plan that is expected to evolve through the life of the project and implimentation.
Its ability to flexibly schedule the implementation of functionality, responding to changing business needs.
Its reliance on automated tests written by programmers and customers to monitor the progress of development, to allow the system to evolve and to catch defects easily.
Its reliance on oral communication, tests and source code to communicate system structure and intent.
Its reliance on an evolutionary design process that lasts as long as the system lasts.
Its reliance on the close collaboration of programmers with ordinary skills
Its reliance on practices that work with both short-term instincts of programmers and the long-term instincts of the project and implimentation.
Risk management: the basic problems faced by all project and implimentations are schedule slips, project and implimentation canceled, defect rate, business misunderstood, business changes and so on. XP address risks at all levels of development process.
Placing highest value on code that is easily read.
Extreme Programming is a software engineering process and philosophy based on well-known practices. Extreme Programming tries to make things happen in ways that people find natural and pleasant. In the case of documentation, this is accomplished by recognizing that the point is communication, not simply documentation, then using the most effective forms of communication, and the most automatic forms, wherever possible. XP is different from established software processes. It also provides new challenges and skills as designers need to learn how to do a simple design, how to use refactoring to keep design clean and how to use patterns in an evolutionary style.
¢ Laurie Williams, North Carolina state University, The XP Programmer, May/June 2003 IEEE SOFTWARE
¢ Jonathan Rasmusson, ThoughtWorks, Introducing XP into Greenfield Projects: Lessons learned, May/June 2003 IEEE SOFTWARE
¢ William.A.Wood and William.L.Kleb, NASA Langley Research Center, Exploring XP for Scientific Research, May/June 2003 IEEE SOFTWARE
¢ http://www.xprogramming.com
¢ http://www.extremeprogramming.org
¢ Giancarlo Succi and Michele Marchese, Addison Wesley-Extreme Programming Examined™™
¢ Kent Beck-Extreme Programming Explained



I express my sincere thanks to Prof. M.N Agnisarman Namboothiri (Head of the Department, Computer Science and Engineering, MESCE),
Mr. Sminesh (Staff incharge) for their kind co-operation for presenting the seminar and presentation.
I also extend my sincere thanks to all other members of the faculty of Computer Science and Engineering Department and my friends for their co-operation and encouragement.
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29-12-2010, 07:00 PM

i want seminar and presentation project and implimentation report on extreme programming
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30-12-2010, 10:20 AM

for more details on extreme programming, visit the following thread too

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extreme programming

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A methodology is a formalized process or set of practices for creating software
An early methodology was the waterfall model, so named because each stage flowed into the next, with no backing up to a previous stage
The stages were: Requirements Design Implementation Verification Maintenance
The waterfall model has never been regarded as a “good” model
Methodologies are subject to fads, and are frequently imposed on programmers by management
Some methodologies are bad—even ridiculously bad
This doesn’t mean all methodologies are bad
However, a single methodology doesn’t work for all cases

Agile programming methodologies

There are (at least) two serious problems with the waterfall model:
It assumes that there will be no unforeseen difficulties in the software development
It assumes that the customers know (and can specify) what they want, in extreme detail
Agile programming methodologies (of which there are several) assume:
Customers can best discover what software meets their needs via frequent iterations
Hence, communication between customers and developers is vital
Requirements will need to be revised, probably multiple times, during software development

Extreme programming

In this course we will draw on a number of ideas from one particular agile methodology, Extreme Programming (XP)
The basic idea of extreme programming is to take to an extreme each of several known good practices
“The first time I was asked to lead a team, I asked them to do a little bit of the things I thought were sensible, like testing and reviews. The second time there was a lot more on the line. I thought, "Damn the torpedoes, at least this will make a good article," [and] asked the team to crank up all the knobs to 10 on the things I thought were essential and leave out everything else.” — Kent Beck
For example, it is well known that software should be tested frequently during development
Extreme programming advocates testing code literally every few minutes, after every minor change
Extreme programming works best for relatively small project and implimentations with a small number of good programmers

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14-03-2012, 11:57 AM

to get information about the topic "extreme programming" full report ppt and related topic refer the link bellow



http://topicideas.org/how-to-extreme-pro...ng-seminar and presentation-report?pid=74160#pid74160

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28-03-2012, 01:21 PM

extreme programming

.ppt   Extreme Programming.ppt (Size: 82.5 KB / Downloads: 74)

What is Extreme Programming?

An agile development methodology
Created by Kent Beck in the mid 1990’s
A set of 12 key practices taken to their “extremes”
A mindset for developers and customers
A religion?

What else is agile?

Adaptive Software Development
Crystal Methodologies
Dynamic Systems Development Method
Feature-Driven Development
And others

The Planning Game – Advantages

Reduction in time wasted on useless features
Greater customer appreciation of the cost of a feature
Less guesswork in planning

The Planning Game – Disadvantages

Customer availability
Is planning this often necessary?

Metaphor – Disadvantages

Often the metaphor is the system
Another opportunity for miscommunication
The system is often not well understood as a metaphor

Application – Disadvantageous

Large, complex environments
Safety critical situations
Well understood requirements
Distant or unavailable customer


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