内容简介：The conventional wisdom of the software engineering community is that striving to 100% test coverage is a fool’s errand. It won’t necessarily help you catch all bugs, and it might lead you down questionable paths when writing your code.My recent attempts a
The conventional wisdom of the software engineering community is that striving to 100% test coverage is a fool’s errand. It won’t necessarily help you catch all bugs, and it might lead you down questionable paths when writing your code.
My recent attempts at 100% test coverage showed me the answer is much more subtle. At times I was tempted to make questionable code changes just for the sake of coverage. In some of those times, I did succumb. Yet, I found that often, there is an enlightened way to both cover a branch and make the code better for it. Blind 100% coverage can cause us to make unacceptable compromises. If we constrain ourselves with only making the codebase better, however, then thinking about 100% coverage can change the way we think about a codebase. The story of my 100% test coverage attempt is a story of both the good and the bad.
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An Introduction to the Analysis of Algorithms
Robert Sedgewick、Philippe Flajolet / Addison-Wesley Professional / 1995-12-10 / CAD 67.99
This book is a thorough overview of the primary techniques and models used in the mathematical analysis of algorithms. The first half of the book draws upon classical mathematical material from discre......一起来看看 《An Introduction to the Analysis of Algorithms》 这本书的介绍吧!
