Pangolin: An SFL-based Toolset for Feature Localization

• Type: Article in International Conference Proceedings Book
• Date: 2019

Authors

Castro, B (Author) Other; Perez, A (Author) Other; Rui Abreu (Author) Other

Conference proceedings International

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

Pages: 1130-1133

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

San Diego, CA, NOV 10-11, 2019

Indexing

ISI Web of Knowledge - 0 Citations

Scopus - 3 Citations

Other information

Authenticus ID: 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

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 4