Zur Hauptnavigation wechseln Zur Suche wechseln Zum Hauptinhalt wechseln

Aletheia: A failure diagnosis toolchain

  • Technische Universität München

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

4 Zitate (Scopus)

Abstract

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: https://youtu.be/BP9D68D02ZI.

OriginalspracheEnglisch
TitelProceedings - International Conference on Software Engineering
Herausgeber (Verlag)IEEE Computer Society
Seiten13-16
Seitenumfang4
ISBN (elektronisch)9781450356633
DOIs
PublikationsstatusVeröffentlicht - 27 Mai 2018
Veranstaltung40th ACM/IEEE International Conference on Software Engineering, ICSE 2018 - Gothenburg, Schweden
Dauer: 27 Mai 20183 Juni 2018

Publikationsreihe

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

Konferenz

Konferenz40th ACM/IEEE International Conference on Software Engineering, ICSE 2018
Land/GebietSchweden
OrtGothenburg
Zeitraum27/05/183/06/18

Fingerprint

Untersuchen Sie die Forschungsthemen von „Aletheia: A failure diagnosis toolchain“. Zusammen bilden sie einen einzigartigen Fingerprint.

Dieses zitieren