Test Data Generation for Mutation Testing Based on Markov Chain Usage Model and Estimation of Distribution Algorithm-Reference-Cited by-同舟云学术

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Test Data Generation for Mutation Testing Based on Markov Chain Usage Model and Estimation of Distribution Algorithm

Published:2024-03 Issue:3 Volume:50 Page:551-573
ISSN:0098-5589
Container-title:IEEE Transactions on Software Engineering
language:
Short-container-title:IIEEE Trans. Software Eng.

Author:

Wei Changqing¹^ORCID,Yao Xiangjuan¹^ORCID,Gong Dunwei²^ORCID,Liu Huai³^ORCID

Affiliation:

1. School of Mathematics, China University of Mining and Technology, Xuzhou, China

2. College of Automation and Electronic Engineering, Qingdao University of Science and Technology, Qingdao, Shandong, China

3. Department of Computing Technologies, Swinburne University of Technology, Melbourne, VIC, Australia

Funder

National Natural Science Foundation of China

Graduate Innovation Program of China University of Mining and Technology

2021 Postgraduate Research and Practice Innovation Program of Jiangsu Province

Major Project of Natural Science Research of the Jiangsu Higher Education Institutions of China

Xuzhou Science and Technology Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/32/10473597/10413895.pdf?arnumber=10413895

Reference51 articles.

1. Hints on Test Data Selection: Help for the Practicing Programmer

2. Are mutants a valid substitute for real faults in software testing?

3. On guiding the augmentation of an automated test suite via mutation analysis

4. Automatically performing weak mutation with the aid of symbolic execution, concolic testing and search-based testing

5. Mutation based test case generation via a path selection strategy

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1. Many Independent Objective Estimation of Distribution Search for Android Testing;Lecture Notes in Computer Science;2024

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