Augmenting Equivalent Mutant Dataset Using Symbolic Execution-Reference-Cited by-同舟云学术

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Augmenting Equivalent Mutant Dataset Using Symbolic Execution

Published:2022-04 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW)
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Author:

Chung Seungjoon¹,Yoo Shin¹

Affiliation:

1. KAIST,Daejeon,Republic of Korea

Funder

National Research Foundation of Korea

Samsung

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9787917/9787918/09787929.pdf?arnumber=9787929

Reference33 articles.

1. Using compiler optimization techniques to detect equivalent mutants

2. Detecting Trivial Mutant Equivalences via Compiler Optimisations

3. Isolating First Order Equivalent Mutants via Second Order Mutation

4. Sound and Quasi-Complete Detection of Infeasible Test Requirements

5. Automatic Equivalent Mutants Classification Using Abstract Syntax Tree Neural Networks

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