Selectively Combining Multiple Coverage Goals in Search-Based Unit Test Generation-Reference-Cited by-同舟云学术

Selectively Combining Multiple Coverage Goals in Search-Based Unit Test Generation

Published:2022-10-10 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering
language:
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Author:

Zhou Zhichao¹^ORCID,Zhou Yuming²,Fang Chunrong²,Chen Zhenyu²,Tang Yutian³

Affiliation:

1. School of Information Science and Technology, ShanghaiTech University, China

2. State Key Laboratory for Novel Software Technology, Nanjing University, China

3. ShanghaiTech University, China

Funder

Shanghai Pujiang Program

Science, Technology and Innovation Commission of Shenzhen Municipality

Natural Science Foundation of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3551349.3556902

Reference53 articles.

1. Apache Software Foundation. 2006. Hadoop. https://hadoop.apache.org Apache Software Foundation. 2006. Hadoop. https://hadoop.apache.org

2. Apache Software Foundation. 2006. Hadoop’s compare method. https://tinyurl.com/mrxvxusy Apache Software Foundation. 2006. Hadoop’s compare method. https://tinyurl.com/mrxvxusy

3. EvoMaster: Evolutionary Multi-context Automated System Test Generation

4. Enhancing Search-based Testing with Testability Transformations for Existing APIs

5. Andrea Arcuri , Muhammad Zohaib Iqbal , and Lionel Briand . 2011. Random testing: Theoretical results and practical implications . IEEE transactions on Software Engineering 38, 2 ( 2011 ), 258–277. Andrea Arcuri, Muhammad Zohaib Iqbal, and Lionel Briand. 2011. Random testing: Theoretical results and practical implications. IEEE transactions on Software Engineering 38, 2 (2011), 258–277.

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