Towards fault localization via probabilistic software modeling

Authors Hannes Thaller
Lukas Linsbauer
Alexander Egyed
Stefan Fischer
Editors Martin Pinzger
Rudol Ramler
Title Towards fault localization via probabilistic software modeling
Booktitle Proceedings of the 2020 IEEE 3rd International Workshop on Validation, Analysis, and Evolution of Software Tests (VST'20)
Type in proceedings
Publisher IEEE
ISBN 978-1-7281-6271-3
Month February
Year 2020
Pages 24-27
SCCH ID# 20005
Abstract

Software testing helps developers to identify bugs. However, awareness of bugs is only the first step. Finding and correcting the faulty program components is equally hard and essential for high-quality software. Fault localization automatically pinpoints the location of an existing bug in a program. It is a hard problem, and existing methods are not yet precise enough for widespread industrial adoption. We propose fault localization via Probabilistic Software Modeling (PSM). PSM analyzes the structure and behavior of a program and synthesizes a network of Probabilistic Models (PMs). Each PM models a method with its inputs and outputs and is capable of evaluating the likelihood of runtime data. We use this likelihood evaluation to find fault locations and their impact on dependent code elements. Results indicate that PSM is a robust framework for accurate fault localization.