Poster: A Qualitative Reasoning Approach to Spectrum-based Fault Localization

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2018

Autores

Perez, A (Autor) Outra; Rui Abreu (Autor) FEUP

Ata de Conferência Internacional

Título: PROCEEDINGS 2018 IEEE/ACM 40TH INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING - COMPANION (ICSE-COMPANION

Páginas: 372-373

40th ACM/IEEE International Conference on Software Engineering (ICSE)

Gothenburg, SWEDEN, MAY 27-JUN 03, 2018

Indexação

ISI Web of Knowledge - 0 Citações

Scopus - 0 Citações

Outras Informações

ID Authenticus: P-00N-ZTC

DOI: 10.1145/3183440.3195015

Abstract (EN): As spectrum-based fault localization (SFL) reasons about coverage rather than source code, it allows for a lightweight, language agnostic way of pinpointing faults in software. However, SFL misses certain faults, such as errors of omission, and may fail to provide enough contextual information about its diagnoses. We propose Q-SFL, that leverages the concept of qualitative reasoning to augment the information made available to SFL techniques, by qualitatively partitioning the values of data units from the system, and treating each qualitative state as a new SFL component to be used when diagnosing.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 2