Artifact for Improving Fault Localization by Integrating Value and Predicate Based Causal Inference Techniques

This work presents an overview of the artifact for the paper titled "Improving Fault Localization by Integrating Value and Predicate Based Causal Inference Techniques". The artifact was implemented in a virtual machine and includes the scripts for the UniVal algorithm for fault localizatio...

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Veröffentlicht in:2021 IEEE/ACM 43rd International Conference on Software Engineering: Companion Proceedings (ICSE-Companion) S. 181 - 182
Hauptverfasser: Kucuk, Yigit, Henderson, Tim A. D., Podgurski, Andy
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: IEEE 01.05.2021
Schlagworte:
causal-inference
Documentation
Inference algorithms
Location awareness
Software
Software algorithms
Software engineering
software-debugging
statistical-fault-localization
Virtual machining
ISBN:1665412194, 9781665412193
Online-Zugang:Volltext
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Beschreibung
Zusammenfassung:This work presents an overview of the artifact for the paper titled "Improving Fault Localization by Integrating Value and Predicate Based Causal Inference Techniques". The artifact was implemented in a virtual machine and includes the scripts for the UniVal algorithm for fault localization employing the Defects4J test suite. Technical information about the individual components for the artifact's repository as well as guidance on the necessary documentation for utilizing the software is provided.
ISBN:1665412194
9781665412193
DOI:10.1109/ICSE-Companion52605.2021.00078