The Fallacy of 100% Code Coverage

While I love RSS for aggregating feeds from various blogs, nothing beats having an expert combing through articles and posts, culling the best ones. Few people, if any, do that culling better for software development than Andy Glover of Stelligent. His blog posts weekly collections of interesting links to tools and agile development topics. It's one of the first RSS items I read. (Fair warning, Glover makes his selections livelier by describing them with terms from the disco era.)

A meme that has appeared recently in his links is a curious dialog about the value of 100% code coverage in unit tests. It was not until I read those posts that I realized there were people still unclear on this issue. So, let's start at the foundational level: 100% code coverage is a fallacious goal. Unit testing is designed to provide two principal benefits: 1) validate the operation of code; 2) create sensors that can detect when code operation has changed, thereby identifying unanticipated effects of code changes. There is no point in writing tests that do not fulfill one of the two goals. Consequently, a getter or setter should not be the target of a unit test:

public void setHeight( float newHeight )

{ height = newHeight; }

This code cannot go wrong (unless you believe that your language's assignment operator doesn't work consistently ;-). Likewise, there is no benefit in a test as a sensor here. The operation of this code cannot change. Hence, any time spent writing a unit test for this routine is wasted.

Developers who can't resist the allure of 100% code coverage are, it seems, seduced by one of two drivers:

1) their coverage tool gives classes with 100% code coverage a green bar (or other graphical satisfaction). Describing this phenomenon, Cedric Beust, the author of the TestNG testing framework, writes in his just released (and highly recommended) book, Next Generation Java Testing

, that this design of coverage tools is "evil." (p. 149) And later, he correctly piles on with: "Even if we were stupid enough to waste the time and effort to reach 100% code coverage..." The problem with coding for graphical trinkets is explained in the next driver.

2) if developers attain 100% code coverage--even at the cost of writing meaningless tests--they can be certain they haven't forgotten to test some crucial code. This viewpoint is the real illusion. By basing proper testing on 100% code coverage, the developer has confused two issues. It's what you're testing and how (so, quality) that determines code quality, not numerical coverage targets (quantity). Capable writers of unit tests know that some routines need validation through dozens of unit tests. Because these tests repeatedly work the same code, they don't result in greater test coverage, but they do result in greater code quality. By pushing for an artificial goal of 100% a developer is incentivized against writing multiple tests for complex code, in order to have the time to write tests for getters and setters. That surely can't be right.

This story, "The Fallacy of 100% Code Coverage" was originally published by JavaWorld.

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