Augmentation Method of Test Data for Path Coverage based on K-means Clustering-Reference-Cited by-同舟云学术

Augmentation Method of Test Data for Path Coverage based on K-means Clustering

Published:2021-12 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE 21st International Conference on Software Quality, Reliability and Security Companion (QRS-C)
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Author:

Xie Wei¹,Xia ChunYan²,Zhang Yan³,Huo TingTing⁴,Chen Xiao⁴

Affiliation:

1. School of Mathematical Sciences, Mudanjiang Normal University,Mudanjiang,China

2. Army Engineering University of PLA Nanjing, China, Mudanjiang Normal University,Mudanjiang,China

3. School of Information Engineering, Suqian University,Suqian,China

4. School of Computer and Information Technology, Mudanjiang Normal University,Mudanjiang,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9741747/9741863/09741964.pdf?arnumber=9741964

Reference20 articles.

1. Cluster-based test cases prioritization and selection technique for agile regression testing

2. Clustering test cases to achieve effective and scalable prioritisation incorporating expert knowledge

3. A clustering approach to improving test case prioritization;carlson;Proceedings of the 27th IEEE International Conference on Software Maintenance,0

4. Research of software testing case reduction algorithm based on K Means[J];gao;Microelectronics & Computer,2016

5. Test Case Selection Technique Based on Semi-supervised Clustering Method;cheng;Computer Science,2018

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