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The Automated Testing Handbook

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The Automated Testing Handbook

by Linda G. Hayes

The Automated Testing Handbook
The Automated Testing Handbook About the Author Introduction Why automate? When not to automate How not to automate Setting realistic expectations Getting and keeping management commitment Terminology Fundamentals of Test Automation Maintainability Optimization Independence Modularity Context Synchronization Documentation The Test Framework Common functions Standard tests Test templates Application Map Test Library Management Change Control Version Control Configuration Management 1 3 3 4 8 9 10 15 17 19 20 22 23 25 26 29 30 32 32 37 39 41 44 44 45 46

Selecting a Test Automation Approach Capture/Playback Structure Advantages Disadvantages Comparison …show more content…

So if you don’t have enough people or time to perform adequate testing to begin with, adding automation will not reduce software instability and errors. Since it is welldocumented that software errors – even a single one – can cost millions more than your entire testing budget, the first priority should be first to deliver reliable software. Once that is achieved, then focus on optimizing the time and costs. In other words, if your software doesn’t work, it doesn’t matter how fast or cheap you deliver it.

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Automated delivers software tests provide three key benefits: cumulative coverage to detect errors and reduce the cost of failure, repeatabililty to save time and reduce the cost to market, and leverage to improve resource productivity. But realize that the test cycle will be tight to begin with, so don’t count on automation to shorten it - count on it to help you meet the deadline with a reliable product. By increasing your coverage and thus reducing the probability of failure, automation can help to avoid the costs of support and rework, as well as potentially devastating costs. Cumulative coverage It is a fact that applications change and gain complexity over their useful life. As depicted in the figure below, the feature set of an application grows steadily over time. Therefore, the number of tests that are needed for adequate coverage is also constantly increasing.

Just a 10% code change still requires

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