- author = "Yi Song and Xiaoyuan Xie and Xihao Zhang and Quanming Liu and Ruizhi Gao",
- title = "Evolving Ranking-Based Failure Proximities for Better Clustering in Fault Isolation",
- booktitle = "37th {IEEE/ACM} International Conference on Automated Software Engineering, ASE 2022",
- year = "2022",
- pages = "Article No.: 41",
- address = "Rochester, MI, USA",
- month = oct # " 10-14",
- publisher = "ACM",
- keywords = "genetic algorithms, genetic programming, SBSE, Software testing and debugging, Search-based software engineering, Failure proximity, Clustering, Fault isolation, Parallel debugging",
- isbn13 = "978-1-4503-9475-8/22/10",
- timestamp = "Sun, 15 Jan 2023 18:32:12 +0100",
-
biburl = "
https://dblp.org/rec/conf/kbse/SongXZLG22.bib",
- bibsource = "dblp computer science bibliography, https://dblp.org",
-
URL = "https://human-competitive.org/sites/default/files/humies_submission.txt",
-
URL = "
https://human-competitive.org/sites/default/files/evolvingranking-basedfailureproximitiesforbetterclusteringinfaultisolation.pdf",
-
DOI = "
doi:10.1145/3551349.3556922",
- size = "13 pages",
- abstract = "Failures that are not related to a specific fault can reduce the effectiveness of fault localization in multi-fault scenarios. To tackle this challenge, researchers and practitioners typically cluster failures (e.g., failed test cases) into several disjoint groups, with those caused by the same fault grouped together. In such a fault isolation process that requires input in a mathematical form, ranking-based failure proximity (R-proximity) is widely used to model failed test cases. In Rproximity, each failed test case is represented as a suspiciousness ranking list of program statements through a fingerprinting function (i.e., a risk evaluation formula, REF). Although many off-the-shelf REFs have been integrated into R-proximity, they were designed for single-fault localization originally. To the best of our knowledge, no REF has been developed to serve as a fingerprinting function of R proximity in multi-fault scenarios. For better clustering failures in fault isolation",
-
notes = "Entered 2023 HUMIES
Wuhan University, School of Computer Science",
