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I often get asked this question whenever I lecture about software quality issues. Some students want to how much testing is enough. To those who feel testing is largely a waste of time or highly overrated, I offer them the opportunity to complete their software engineering class projects1 using a minimal (or sometimes no) testing strategy. The results are often interesting and enlightening. The students often speak of how well they code their modules and classes and how careful they are to use good modeling practices. Many use Unified Modeling Language (UML) diagrams to assist their development. While these are good practices, testing involves a lot more than making sure your source code matches your model. Students who insist that their highly honed coding
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1. Which normally include large semester-long group projects beginning with requirements elicitation.
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CHAPTER 4 TEST-DRIVEN MYSQL DEVELOPMENT
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skills are sufficient often produce project deliverables that have feature and functionality issues. Although most do not suffer from fatal errors or crashes (which are often found during development), there are often issues with integration and how the software works. That is, students failed to ensure that their software worked the way the customer wanted. If this scenario is all too familiar to you, then you know the value of software testing. There are many forms of software testing used to perform a variety of quality assurance and quality control. Choosing which technique to use when is the real nature of the science of software testing.
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Tip If you have not had the opportunity to experience software testing firsthand or to work with a professional software tester, I recommend seeking one out. They often have incredible insight into how software works that few developers ever hone successfully. Don t be shy or embarrassed if they break your code that s their job and most are very good at it!
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Testing vs. Debugging
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You may be tempted to conclude that debugging and testing are the same. Although they often have the same goal identifying defects they are not the same. Debugging is an interactive process designed to locate defects in the logic of the source code by exposing the internal workings of the source code. Testing, on the other hand, is used to identify defects in the execution of the source code without examining the inner workings of the source code.
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Test-Driven Development
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Test-driven development is often associated with agile programming. Indeed, test-driven development is often used by organizations that adopt extreme programming (XP) methods. While that may sound scary and could deter you from reading on, allow me to expose to you a secret about XP: you don t have to adopt XP to use agile practices! I often find individuals who are deeply concerned about adopting agile practices because of all the negative hype tossed about in uninformed rants. I am often saddened to learn that those who view traditional software engineering processes as cast in stone think that agile practices are designed to do more with less and are therefore inferior. That is simply not the case. Agile practices are designed to streamline software development, to reengage the customer, to produce only what is needed when it is needed, and to focus the job at hand on what the customer wants. It is the customer who is the focus of agile methods, not the process. Furthermore, agile practices are designed to be used either as a set or selectively in an application. That is, organizations are encouraged to adopt agile practices as they see fit rather than jumping in with both feet and turning their developers world upside down. That is the true reason behind the negative hype that and the resulting failures reported by organizations that tried to do too much too soon.2 If you would like to learn more about the debate of agile versus traditional methods, direct your browser to the Agile Alliance web site, www.agilealliance.org. One of the most profoundly useful agile practices is test-driven development. The philosophy of test-driven development is simple: start with a basic model of the solution, write the test, run the test, code the solution, and validate it with the test. While that sounds really intuitive, it is
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2. Yes, this is a bit of a dichotomy considering agile practices are designed to reduce unnecessary work.
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