Pangolin: An SFL-based Toolset for Feature Localization

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2019

Autores

Castro, B (Autor) Outra; Perez, A (Autor) Outra; Rui Abreu (Autor) Outra

Ata de Conferência Internacional

Título: 34TH IEEE/ACM INTERNATIONAL CONFERENCE ON AUTOMATED SOFTWARE ENGINEERING (ASE 2019)

Páginas: 1130-1133

34th IEEE/ACM International Conference on Automated Software Engineering (ASE)

San Diego, CA, NOV 10-11, 2019

Indexação

ISI Web of Knowledge - 0 Citações

Scopus - 3 Citações

Outras Informações

ID Authenticus: P-00R-PWQ

DOI: 10.1109/ase.2019.00119

Abstract (EN): Pinpointing the location where a given unit of functionality or feature was implemented is a demanding and time-consuming task, yet prevalent in most software maintenance or evolution efforts. To that extent, we present PANGOLIN, an Eclipse plugin that helps developers identifying features among the source code. It borrows Spectrum-based Fault Localization techniques from the software diagnosis research field by framing feature localization as a diagnostic problem. PANGOLIN prompts users to label system executions based on feature involvement, and subsequently presents its spectrum-based feature localization analysis to users with the aid of a color-coded, hierarchic, and navigable visualization which was shown to be effective at conveying diagnostic information to users. Our evaluation shows that PANGOLIN accurately pinpoints feature implementations and is resilient to misclassifications by users. The tool can be downloaded at https://tqrg.githubdo/pangolin/. Demonstration video: https://youtu.be/vvTCCrzyRg8

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 4