简单回答:60-80%

长一点的回答: 我认为这完全取决于你项目的性质。我通常通过单元测试每一个实际部分来开始一个项目。在项目的第一次“发布”时，你应该有一个相当不错的基于你所做的编程类型的基础百分比。在这一点上，您可以开始“强制”最小的代码覆盖率。

如果你已经做了相当长一段时间的单元测试，我认为没有理由不接近95%以上。然而，至少，我总是使用80%的测试，即使是刚开始测试的时候。

这个数字应该只包括在项目中编写的代码(不包括框架、插件等)，甚至可能排除完全由调用外部代码编写的代码组成的某些类。这种电话应该被嘲笑。

Alberto Savoia的这篇散文恰好回答了这个问题(以一种非常有趣的方式!):

http://www.artima.com/forums/flat.jsp?forum=106&thread=204677

Testivus On Test Coverage Early one morning, a programmer asked the great master: “I am ready to write some unit tests. What code coverage should I aim for?” The great master replied: “Don’t worry about coverage, just write some good tests.” The programmer smiled, bowed, and left. ... Later that day, a second programmer asked the same question. The great master pointed at a pot of boiling water and said: “How many grains of rice should I put in that pot?” The programmer, looking puzzled, replied: “How can I possibly tell you? It depends on how many people you need to feed, how hungry they are, what other food you are serving, how much rice you have available, and so on.” “Exactly,” said the great master. The second programmer smiled, bowed, and left. ... Toward the end of the day, a third programmer came and asked the same question about code coverage. “Eighty percent and no less!” Replied the master in a stern voice, pounding his fist on the table. The third programmer smiled, bowed, and left. ... After this last reply, a young apprentice approached the great master: “Great master, today I overheard you answer the same question about code coverage with three different answers. Why?” The great master stood up from his chair: “Come get some fresh tea with me and let’s talk about it.” After they filled their cups with smoking hot green tea, the great master began to answer: “The first programmer is new and just getting started with testing. Right now he has a lot of code and no tests. He has a long way to go; focusing on code coverage at this time would be depressing and quite useless. He’s better off just getting used to writing and running some tests. He can worry about coverage later.” “The second programmer, on the other hand, is quite experience both at programming and testing. When I replied by asking her how many grains of rice I should put in a pot, I helped her realize that the amount of testing necessary depends on a number of factors, and she knows those factors better than I do – it’s her code after all. There is no single, simple, answer, and she’s smart enough to handle the truth and work with that.” “I see,” said the young apprentice, “but if there is no single simple answer, then why did you answer the third programmer ‘Eighty percent and no less’?” The great master laughed so hard and loud that his belly, evidence that he drank more than just green tea, flopped up and down. “The third programmer wants only simple answers – even when there are no simple answers … and then does not follow them anyway.” The young apprentice and the grizzled great master finished drinking their tea in contemplative silence.

我对这个难题的回答是，对可以测试的代码有100%的行覆盖率，对不能测试的代码有0%的行覆盖率。

我目前在Python中的做法是将.py模块分为两个文件夹:app1/和app2/，当运行单元测试时，计算这两个文件夹的覆盖率，并直观地检查(有朝一日我必须自动化)app1的覆盖率为100%，而app2的覆盖率为0%。

当/如果我发现这些数字与标准不同，我会调查并改变代码的设计，使覆盖率符合标准。

这意味着我可以建议实现库代码的100%行覆盖率。

我也偶尔检查app2/，看看我是否可以在那里测试任何代码，如果我可以，我将它移动到app1/

现在我不太担心总覆盖率，因为这取决于项目的规模，但通常情况下我看到的是70%到90%以上。

使用python，我应该能够设计一个烟雾测试，可以自动运行我的应用程序，同时测量覆盖率，并有希望获得100%的烟雾测试与单元测试数字的聚合。

这取决于您所处的应用程序开发生命周期的哪个阶段。

If you've been at development for a while and have a lot of implemented code already and are just now realizing that you need to think about code coverage then you have to check your current coverage (if it exists) and then use that baseline to set milestones each sprint (or an average rise over a period of sprints), which means taking on code debt while continuing to deliver end user value (at least in my experience the end user doesn't care one bit if you've increased test coverage if they don't see new features).

根据你的领域，达到95%并不是不合理的，但我不得不说，平均而言，你将看到的平均情况是85%到90%。

代码覆盖率是很好的，但前提是你从中得到的好处超过了实现它的成本/努力。

一段时间以来，我们一直在努力达到80%的标准，但我们刚刚决定放弃这个标准，转而更专注于我们的测试。专注于复杂的业务逻辑等，

这个决定是由于我们花在追逐代码覆盖率和维护现有单元测试上的时间越来越多。我们觉得我们已经到达了这样一个点:我们从代码覆盖率中得到的好处被认为比我们为实现它所付出的努力要少。