关于vue.js:关于代码覆盖率你不可不知的两大陷阱

在做单元测试时，代码覆盖率经常被拿来作为掂量测试好坏的指标，甚至，用代码覆盖率来考核测试工作实现状况。然而我置信，你不是为了覆盖率才要求覆盖率的。你须要有意义的覆盖率，以表明你曾经很好地测试了该软件。

掂量代码覆盖率相干的问题总是可能引起我的留神。一方面，我常常发现，公司和组织不肯定晓得他们在测试期间笼罩了多少代码，这的确很令人诧异！另一方面，对于一些组织来说，代码覆盖率的数字是如此重要，以至于测试的品质和有效性却变得简直无关紧要了。他们自觉地追赶 100%的代码覆盖率，并置信，如果领有这个数字，该软件将是优良的，甚至可能是最好的。其实，这样跟不晓得你所测试的内容一样危险，实际上可能更危险，因为它可能给你带来谬误的安全感。

代码覆盖率能够用来评估软件品质，这是一个很好且乏味的数字，但请务必记住，这是一种伎俩，而非目标。 咱们并不是为了覆盖率而要求覆盖率 ，因为它应该表明咱们在测试软件方面做得很好。如果测试自身没有意义，那么再高的覆盖率也并不意味着软件会更好。重要的指标是确保测试每个代码，而不仅仅是执行代码。没有足够的工夫和金钱来全面测试所有内容，至多要确保对所有重要的内容都进行了测试。

这就是说， 低覆盖率意味着咱们可能测试有余，而高覆盖率自身并不一定与高质量相关联 ——理论状况要简单得多。

显然，领有一个欢快的测试环境，使你领有“足够”的覆盖率，能够放心使用一个良好、稳固、可保护的测试套件来公布软件，该套件具备“足够的测试”，这是最好的状态。然而，实际上， 这些覆盖率陷阱依然很常见 。

陷阱 1：“咱们不晓得咱们的覆盖率”

不晓得本人的代码覆盖率仿佛并不合理——市面上的代码覆盖率工具既便宜又丰盛。我的一个敌人通知我，其实开发人员个别都晓得本人的代码覆盖率不现实，因而开发人员和测试人员不愿将覆盖率不高的破绽裸露给管理层。当然我心愿这不是广泛的状况。

团队在尝试评估覆盖率时遇到的一个理论问题是该零碎过于简单。当你逐块构建应用程序时，仅晓得将覆盖范围计数器搁置在何处可能是一项艰巨的工作。我倡议，如果实际上很难掂量应用程序的覆盖范围，则应该对架构进行三思。

陷入这种陷阱的第二种办法产生在可能进行大量测试但没有理论笼罩数量的组织中，因为他们没有找到适合的办法来汇总来自不同测试运行的数量。如果你要进行手动测试、功能测试、单元测试和端到端测试，则不能简略地将数字加起来。即便它们各自实现了 25%的覆盖率，联合起来也不太可能达到 100%。实际上，当您查看后果时，它更可能靠近 25%，而不是 100%。

事实证明，实际上存在一种以有意义的形式一起测量和减少覆盖范围的办法。在 Parasoft，利用报告和剖析工具 Parasoft DTP 捕捉的大量细粒度数据，能够在这种状况下应用它来提供全面、汇总的代码覆盖率视图。应用程序监视器可能在测试过程中间接从应用程序中收集覆盖率数据，而后将其发送到 Parasoft DTP，后者会汇总所有测试实际以及测试团队和测试运行中的覆盖率数据。

如果听起来像是蕴含了相当大的信息量，那你是对的！DTP 提供了一个交互式仪表板，可帮忙你浏览此数据并就将测试重点放在哪里做出决策。请参阅上面的示例仪表板：

如果多个测试笼罩了雷同的代码，则不会被计算在内，而未经测试的代码局部则能够疾速、轻松地看到。这向你显示了应用程序的哪些局部曾经过良好的测试，哪些没有通过测试。你能够在收费的白皮书中浏览所有内容。

因而，没有更多的借口不掂量覆盖率。

陷阱 2：“覆盖率就是所有！”

人们经常误以为覆盖率就是所有。一旦团队可能掂量覆盖率，领导通常会说“让咱们来减少这个数字”。最终，数字自身变得比测试更重要。正如 Parasoft 的创始人 Adam Kolawa 所说的：

“这就像要求钢琴家依照 100%的覆盖率敲击钢琴琴键，而不是依据乐谱的须要仅敲击那些有意义的琴键。当他演奏作品时，他会取得有意义的任何数量的按键笼罩。”

问题就出在这里——自觉的要求覆盖率与自觉的音乐演奏雷同。覆盖率须要反映出对代码的实在、有意义的应用，否则只会是“乐音”。

说到“乐音”……覆盖率的老本会随着覆盖率的减少而减少。请记住，你不仅须要创立测试，而且还必须保护它们。如果你不打算重复使用和保护测试，则可能一开始就不要浪费时间来创立它。随着测试套件的变大，“乐音”量也会以意想不到的形式减少。两倍的测试可能意味着两倍甚至三倍的“乐音”。无意义的测试最终会比好的测试产生更多的“乐音”，因为它们没有实在的上下文，然而每次执行测试时都必须加以解决。想一想技术债权吧！无用的测试是真正的危险。

当初，在某些行业（例如对平安至关重要的行业）中，必须达到 100%的覆盖率指标。然而即便在这种状况下，将一行代码的任何执行都视为有意义的测试也太容易了，这基本不是事实。我要问两个根本问题，以确定一个测试是否是一个好的测试：

1. 测试失败意味着什么？
2. 测试通过意味着什么？

现实状况下，当测试失败时，咱们会晓得出了什么问题，如果测试真的很好，它将为咱们指明正确的方向进行修复。当测试失败时，很多时候没有人晓得为什么，没有人能够复制它，而测试被忽略了。相同，当测试通过时，咱们应该可能晓得所测试的内容——这意味着某个特定性能或某项性能失常运行。

如果您不能答复其中一个问题，则可能是你的测试有问题。如果你不能答复它们中的任何一个，则测试带来的麻烦可能比它产生的价值更多。

解脱陷阱的办法首先是要理解覆盖率自身并不是指标。真正的指标是创立有用的有意义的测试。这当然须要工夫。在简略的代码编写中，单元测试很简略，然而在简单的理论应用程序中，这意味着编写存根和模仿并应用框架。这可能会破费很多工夫，如果你始终不这样做，很容易遗记所波及的 API 的细微差别。即便你认真对待测试，创立真正好的测试所破费的工夫也可能比你预期的要长。

为了进步单元测试的效率，Java 开发测试工具 Parasoft Jtest 中有一个针对于此的新技术——单元测试助手。单元测试助手承当着实现正确的模仿和存根的繁琐工作。它也能够帮忙你以一种无效的形式来扩大现有测试，以减少覆盖范围——帮忙你创立良好的单元测试，并提出倡议以进步测试覆盖率和测试品质。

心愿你曾经理解到覆盖率的重要性，并且进步覆盖率是一个值得实现的指标。然而请记住， 单纯的谋求百分比并没有编写稳固、可保护和有意义的测试更有价值 。https://github.com/hitl837/ml…
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