Towards fault localization via probabilistic software modeling

H. Thaller, L. Linsbauer, A. Egyed, S. Fischer. Towards fault localization via probabilistic software modeling. pages 24-27, 2, 2020.

Autoren
  • Hannes Thaller
  • Lukas Linsbauer
  • Alexander Egyed
  • Stefan Fischer
Editoren
  • Martin Pinzger
  • Mag. Rudolf Ramler
BuchProceedings of the 2020 IEEE 3rd International Workshop on Validation, Analysis, and Evolution of Software Tests (VST'20)
TypIn Konferenzband
VerlagIEEE
ISBN978-1-7281-6271-3
Monat2
Jahr2020
Seiten24-27
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.