Comments on Mock-Based Testing

本文探讨了模拟对象在单元测试中的应用及其带来的优势。作者认为,虽然模拟对象增加了设计的复杂性,但它们能够显著简化测试过程并提高测试效率。通过隔离测试,可以更快地定位问题所在,而集成测试则作为补充手段确保系统的整体运行。

很好的一篇文章,深入说了很多关于测试的东西。

A article from Technoetic
- Posted in
Software Dev., Agile by Steve Bate

I recently read a blog entry with criticisms of mock-based testing. The author raised several “issues” with using mocks to support unit testing. I’m commenting here since the author has closed comments on the original blog entry.

Issue 1: Poor integration tests, as everything is being tested in isolation

I’ve had good experience with mock-based testing. However, it’s obvious that mocks will only test classes in isolation. I use both unit tests and integration tests (sometimes called system or acceptance tests) together. The need for integration tests is not an issue for mock-based techniques and is not a good reason to use less mocks. It’s just a different aspect of testing. A more common issue in my experience is that people in the agile community who are new to testing often don’t understand these different aspects of testing and seem to believe that mock-based unit testing and integration testing are mutually exclusive options. The lack of common terminology in the community only worsens the problem. For some people, a “unit” is a class or small group of tightly coupled classes. For others, it’s a large portion of the software product. Most agile developers seem to call every test they write a unit test. It’s become so confusing for some teams that I’ve seen terminology like “integration unit tests” being used to describe testing strategies.

But, back to the topic. Poor integration testing is simply the result of lack of integration tests. Mocks do not cause a lack of integration tests. A team makes that choice, probably based on a weak understanding of the tradeoffs between isolation (unit) and integration (system) testing.

Issue 2: Mocks add complexity to the software design.

“I’ve seen numerous occasions where the introduction of mocks has added a large amount of complexity to an otherwise simple design. This complexity leads to higher implementation costs, a higher cognitive load on the developers working on the system, and higher maintenance costs (as there’s more code to maintain). “

The author appears to focused on the increased use of interfaces when using mock-based testing and expresses the opinion that interfaces should only be used where we’d want to be able to replace one implementation with another. First, there are other reasons to use interfaces. In general, interfaces are useful for managing dependencies between software components or subsystems. This can be beneficial even if the implementations do not change (see The Dependency Inversion Principle).

A modular software design will generally make it easier to use mock-based testing without altering the design specifically for the mocks. However, there are times when the software must be modified to support testing. Fortunately, the changes needed to support testing often, if done well, support the modularity goal.

In my experience, extra interfaces don’t add a significant maintenance overhead. Most effort is spent implementing the interface. The time writing the interface itself (or extracting it using an IDE’s refactoring tools) is negligible.

My Conclusions

In almost every case, I see the “simplicity” gained by not using mocks overshadowed by complex test setups to initialize large groups of dependent objects. The dark side of integration testing is that it’s often very slow for large numbers of tests. Some teams are using continuous integration tools like Cruise Control to run their “unit tests” (usually they are actually integration tests). This delays the feedback about broken builds but is often necessary because the tests run so slow. I realize there other reasons for using CC, but this is a common one from what I’ve seen and heard.

I’ve worked on teams where we had thousands of tests that ran in less than 15-20 seconds total on a developer workstation. This was a direct result of heavy use of mock-based testing. We also had a slower suite of integration tests that required 4-5 minutes to run. We didn’t need a continuous integration server because we were able to integrate and run our unit tests before every commit to the source control system. The team integrated 10-20 times/day and broken builds were practically nonexistent over the several years I worked with them. In the very rare cases when the build did break, it was typically fixed in a matter of minutes.

The other benefit of the isolation testing enabled by mocks is the ability to pinpoint problems much more quickly. It’s a form of the divide and conquer problem solving strategy, only the divide part is already done. The conquering is relatively easy compared to tracking down the cause of test failures when many classes are being exercised in a test.

My experience was that our mock based unit tests caught about 98% of the code problems before the code was ever committed to source control. The integration tests caught about another 1% beyond that (almost always because of a flaw in the mock-based testing) and manual testing caught the other 1%.

- Posted in Software Dev., Agile by Steve Bate
【无人机】基于改进粒子群算法的无人机路径规划研究[和遗传算法、粒子群算法进行比较](Matlab代码实现)内容概要:本文围绕基于改进粒子群算法的无人机路径规划展开研究,重点探讨了在复杂环境中利用改进粒子群算法(PSO)实现无人机三维路径规划的方法,并将其与遗传算法(GA)、标准粒子群算法等传统优化算法进行对比分析。研究内容涵盖路径规划的多目标优化、避障策略、航路点约束以及算法收敛性和寻优能力的评估,所有实验均通过Matlab代码实现,提供了完整的仿真验证流程。文章还提到了多种智能优化算法在无人机路径规划中的应用比较,突出了改进PSO在收敛速度和全局寻优方面的优势。; 适合人群:具备一定Matlab编程基础和优化算法知识的研究生、科研人员及从事无人机路径规划、智能优化算法研究的相关技术人员。; 使用场景及目标:①用于无人机在复杂地形或动态环境下的三维路径规划仿真研究;②比较不同智能优化算法(如PSO、GA、蚁群算法、RRT等)在路径规划中的性能差异;③为多目标优化问题提供算法选型和改进思路。; 阅读建议:建议读者结合文中提供的Matlab代码进行实践操作,重点关注算法的参数设置、适应度函数设计及路径约束处理方式,同时可参考文中提到的多种算法对比思路,拓展到其他智能优化算法的研究与改进中。
评论
添加红包

请填写红包祝福语或标题

红包个数最小为10个

红包金额最低5元

当前余额3.43前往充值 >
需支付:10.00
成就一亿技术人!
领取后你会自动成为博主和红包主的粉丝 规则
hope_wisdom
发出的红包
实付
使用余额支付
点击重新获取
扫码支付
钱包余额 0

抵扣说明:

1.余额是钱包充值的虚拟货币,按照1:1的比例进行支付金额的抵扣。
2.余额无法直接购买下载,可以购买VIP、付费专栏及课程。

余额充值