Mutation 2000: uniting the orthogonal

By A. Offutt, R. Untch. 2001

393 citations recorded by the source corpus.

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Feedback-Directed Random Test Generation (2007, background): “Because the small programs apparently contained no errors, the comparison was in terms of coverage or rate of mutant killing [21], not in terms of true error detection, which is the best measure to evaluate test input generation techniques.”
Using Mutation Analysis for Assessing and Comparing Testing Coverage Criteria (2006, methodology): “The idea of using mutants to measure test suite adequacy was originally proposed by DeMillo et al. [8] and Hamlet [15], and explored extensively by Offutt and Untch [25].”
Chapter Six - Mutation Testing Advances: An Analysis and Survey (2019, methodology): “Generally, the recent studies have not consider this subject and thus, further details about the competent programmer hypothesis can be found in the surveys of Offutt and Untch [26] and Jia and Harman [27].”
Is mutation an appropriate tool for testing experiments? [software testing] (2005, methodology): “Additionally, this ensured that the whole source code was seeded with faults (and not simply a few functions/procedures).”
Higher Order Mutation Testing (2009, background): “1 Generic Process of Mutation Analysis [213] .”
Metallaxis‐FL: mutation‐based fault localization (2015, methodology): “To overcome this problem researchers have suggested using various alternatives such as the “mutant sampling” [24] and the “selective mutation” [25].”