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.
以上就是本文的全部内容，希望对大家的学习有所帮助，也希望大家多多支持 码农网
猜你喜欢:
本站部分资源来源于网络，本站转载出于传递更多信息之目的，版权归原作者或者来源机构所有，如转载稿涉及版权问题，请联系我们。
Numerical Recipes 3rd Edition
William H. Press、Saul A. Teukolsky、William T. Vetterling、Brian P. Flannery / Cambridge University Press / 2007-9-6 / GBP 64.99
Do you want easy access to the latest methods in scientific computing? This greatly expanded third edition of Numerical Recipes has it, with wider coverage than ever before, many new, expanded and upd......一起来看看 《Numerical Recipes 3rd Edition》 这本书的介绍吧!
