CAmpactor: A Novel and Effective Local Search Algorithm for Optimizing Pairwise Covering Arrays-Reference-Cited by-同舟云学术

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CAmpactor: A Novel and Effective Local Search Algorithm for Optimizing Pairwise Covering Arrays

Published:2023-11-30 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering
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Author:

Zhao Qiyuan¹,Luo Chuan¹,Cai Shaowei²,Wu Wei³,Lin Jinkun⁴,Zhang Hongyu⁵,Hu Chunming¹

Affiliation:

1. Beihang University, Beijing, China

2. Institute of Software, Chinese Academy of Sciences, Beijing, China

3. Central South University, Changsha, China / Xiangjiang Laboratory, Changsha, China

4. SeedMath Technology Limited, Beijing, China

5. Chongqing University, Chongqing, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

CCF-Huawei Populus Grove Fund

Open Project of Xiangjiang Laboratory

Natural Science Foundation of Changsha

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3611643.3616284

Reference98 articles.

1. Incomplete MaxSAT approaches for combinatorial testing

2. Sven Apel , Don S. Batory , Christian Kästner , and Gunter Saake . 2013. Feature-Oriented Software Product Lines - Concepts and Implementation . Springer . Sven Apel, Don S. Batory, Christian Kästner, and Gunter Saake. 2013. Feature-Oriented Software Product Lines - Concepts and Implementation. Springer.

3. Improving Stochastic Local Search for SAT with a New Probability Distribution

4. Baital: an adaptive weighted sampling approach for improved t-wise coverage

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