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The most important issue about any joint, team-based activity is the relationships between the participants. Many of the problems that arise in software development projects are people issues rather than technical ones. People issues are generally about relationships between developers in the team and between team members and clients, users, managers, and others in the immediate working environment. Of course, relationships with those close to you and your family can have an impact on a project as well. In order to deal with these, you have to treat each individual with respect allow them to express their point of view, discuss things with them calmly, and actively delegate responsibility for doing things in a reasonable way and to trust them to get on with it. The two complementary facets of responsibility and trust are very important. XP is supposed to be a human way of doing things that is built on both these pillars. If you respect someone, you will also trust them and then give them responsibility.
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2.3 2.3.1
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THE 12 BASIC PRACTICES OF XP Test-First Programming
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Before writing any code, programmers build a set of tests. These tests are run of course they will fail as no code has been written. Why would one do this To get used to testing continuously at the end of a session, at the end of the day, whenever a small piece of code has been built. All the test sets are run: this means all the relevant unit tests, testing classes, and methods as they are coded; all the functional tests, testing at the integration level and
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2 Extreme Programming Outlined
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derived from the planning game and subsequent discussions with the client; and all the non-functional tests. The test sets are the most important resource and are continually enhanced. The customer can help to supply some tests, they understand the business processes in their organization, and these, if they are to be replicated or involved in the system being built, will provide a wealth of potential test material. Functional tests are derived from the planning game (see later) using techniques de ned in subsequent chapters. The quality of these tests is crucial, and the methods described will provide test sets of outstanding power. In a sense, the test sets replace the speci cation and the design. They present us with a rapid feedback mechanism that tells us if the code is correct. If any tests fail, the code must be xed. This sounds very plausible as it is known that strong testing delivers quality systems. However, is it realistic Testing and debugging as activities are Cinderella subjects both in universities and industry. There are few courses dedicated to the subject, and when programming is taught, testing is generally ignored. Programmers are often left to their own devices in terms of what techniques to use. Here, though, testing is fundamental; the development process is centered around testing, and this is what gives us continuous feedback on how we are doing. But there are tests and tests. Any fool can write test cases, but only the smartest developers can write really good ones. Furthermore, we have to design the tests before we start to code. This presents another problem as many test techniques, for example, the so-called White Box testing, relies on having the code structure available. These types of testing are based on nding test values that will exercise the program graph, for example traversing every path in the code, accessing every decision point, and so forth. Many of these techniques can be automated by using the code as a basis for the generation of the test but the code is not written. In terms of functional testing and acceptance testing, the tests are often created on a fairly informal basis from whatever requirements are available. There is almost no knowledge of how good the tests are. Many developers will stop testing when the rate of discovery of defects slows down this does not mean that all fundamental aws have been discovered. We will address this issue of testing fundamentally in this book.
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