Aletheia: A failure diagnosis toolchain

Mojdeh Golagha, Abu Mohammed Raisuddin, Lennart Mittag, Dominik Hellhake, Alexander Pretschner

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations


Testing and debugging are time-consuming, tedious and costly. As many automated test generation tools are being applied in practice nowadays, there is a growing need for automated failure diagnosis. We introduce Aletheia, a failure diagnosis toolchain, which aims to help developers and testers reduce failure analysis time. The key ideas include: data generation to provide the relevant data for further analysis, failure clustering to group failing tests based on the hypothesized faults, and fault localization to pinpoint suspicious elements of the code. We evaluated Aletheia in a large-scale industrial case study as well as two open-source projects. Aletheia is released as an open-source tool on Github, and a demo video can be found at:

Original languageEnglish
Title of host publicationProceedings - International Conference on Software Engineering
PublisherIEEE Computer Society
Number of pages4
ISBN (Electronic)9781450356633
StatePublished - 27 May 2018
Event40th ACM/IEEE International Conference on Software Engineering, ICSE 2018 - Gothenburg, Sweden
Duration: 27 May 20183 Jun 2018

Publication series

NameProceedings - International Conference on Software Engineering
ISSN (Print)0270-5257


Conference40th ACM/IEEE International Conference on Software Engineering, ICSE 2018


  • Fault localization
  • Hit spectra
  • Parallel debugging
  • failure clustering


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