SEJun 24, 2015

Mutation Testing as a Safety Net for Test Code Refactoring

arXiv:1506.07330v18 citations
Originality Synthesis-oriented
AI Analysis

This addresses a safety net issue for developers refactoring test code, though it is incremental as it applies an existing technique to a new context.

The paper tackles the problem of ensuring test code behavior is preserved during refactoring by proposing mutation testing as a safety net, and it demonstrates how this approach can identify improperly refactored parts of the test code.

Refactoring is an activity that improves the internal structure of the code without altering its external behavior. When performed on the production code, the tests can be used to verify that the external behavior of the production code is preserved. However, when the refactoring is performed on test code, there is no safety net that assures that the external behavior of the test code is preserved. In this paper, we propose to adopt mutation testing as a means to verify if the behavior of the test code is preserved after refactoring. Moreover, we also show how this approach can be used to identify the part of the test code which is improperly refactored.

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