Using Mutation Analysis for Assessing and Comparing Testing Coverage Criteria

By J. Andrews, Lionel Claude Briand, Yvan Labiche, Akbar Siami Namin. IEEE Transactions on Software Engineering, 2006

509 citations recorded by the source corpus.

Subfields: Information Systems, Software

View Paper: https://www.semanticscholar.org/paper/f4088fe7e0f70aff14cee09c5acb70851c332f12

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Information Systems

1. Mike Papadakis
2. Yue Jia
3. Yves Le Traon
4. Mark Harman
5. Gordon Fraser
6. René Just
7. Michael D. Ernst
8. Marinos Kintis

In Software

1. Yves Le Traon
2. Mike Papadakis
3. Yue Jia
4. Gordon Fraser
5. Mark Harman
6. René Just
7. Michael D. Ernst
8. Marinos Kintis

Citations in the corpus

• Evaluating and Improving Fault Localization (2017, background): “Andrews et al. [7] further evaluated the relation of real faults from the space program and 736 mutants using four mutation operators, and again found that mutants are representative of real faults.”
• Fault Analysis and Debugging of Microservice Systems: Industrial Survey, Benchmark System, and Empirical Study (2018, background): “Similarly related fault localization techniques are designed mainly for sequential programs, such as statistic-based fault localization [39], and machine-learning-based ones [40], [41].”
• Higher Order Mutation Testing (2009, methodology): “[15] conducted an experiment to compare test data generation using control flow and data flow.”
• The DStar Method for Effective Software Fault Localization (2014, background): “This creation was done to enlarge our data sets, and because mutation-based faults have been shown to simulate realistic faults well and provide reliable, trustworthy results [4], [11], [25], [28].”
• Metallaxis‐FL: mutation‐based fault localization (2015, methodology): “[1], provide evidence that this assumption is reasonable.”
• A Survey on Software Fault Localization (2016, background): “Although mutation has been shown to be an effective approach to simulate realistic faults [29], [103], [223], [268], some real-life bugs are very delicate and cannot be modeled by simple first-order mutants.”
• Chapter Six - Mutation Testing Advances: An Analysis and Survey (2019, background): “An easy way to ameliorate this problem is to select test cases that only increase coverage, while discarding all the others [33, 42].”