Prefilter: A Fault Localization Method using Unlabelled Test Cases based on K-Means Clustering and Similarity-Reference-Cited by-同舟云学术

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Prefilter: A Fault Localization Method using Unlabelled Test Cases based on K-Means Clustering and Similarity

Published:2022-12 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 22nd International Conference on Software Quality, Reliability, and Security Companion (QRS-C)
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Author:

An Dong¹,Wang Shihai¹,Zhu Liandie¹,Yang Xunli¹,Yan Xiaobo²

Affiliation:

1. School of Reliability and System Engineering, Beihang University,Beijing,China

2. Nanjing Research Institute of Electronic Engineering,Nanjing,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10076926/10076936/10076948.pdf?arnumber=10076948

Reference16 articles.

1. How Effectively Does Metamorphic Testing Alleviate the Oracle Problem?

2. Formal Verification of Simulink/Stateflow Diagrams

3. Effective software fault localization using predicted execution results

4. Automatic detection of performance deviations in the load testing of Large Scale Systems

5. The Oracle Problem in Software Testing: A Survey

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Systematic Analysis of Learning-Based Software Fault Localization;2024 10th International Symposium on System Security, Safety, and Reliability (ISSSR);2024-03-16

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