Tag that issue: Applying API-domain labels in issue tracking systems

no code implementations • 6 Apr 2023 • Fabio Santos, Joseph Vargovich, Bianca Trinkenreich, Italo Santos, Jacob Penney, Ricardo Britto, João Felipe Pimentel, Igor Wiese, Igor Steinmacher, Anita Sarma, Marco A. Gerosa

Labeling issues with the skills required to complete them can help contributors to choose tasks in Open Source Software projects.

TAG Transfer Learning

Intersectionality Goes Analytical: Taming Combinatorial Explosion Through Type Abstraction

no code implementations • 25 Jan 2022 • Margaret Burnett, Martin Erwig, Abrar Fallatah, Christopher Bogart, Anita Sarma

HCI researchers' and practitioners' awareness of intersectionality has been expanding, producing knowledge, recommendations, and prototypes for supporting intersectional populations.

Vocal Bursts Type Prediction

Can I Solve It? Identifying APIs Required to Complete OSS Task

no code implementations • 23 Mar 2021 • Fabio Santos, Igor Wiese, Bianca Trinkenreich, Igor Steinmacher, Anita Sarma, Marco Gerosa

In this paper, we investigate the feasibility and relevance of labeling issues with the domain of the APIs required to complete the tasks.

The Shifting Sands of Motivation: Revisiting What Drives Contributors in Open Source

no code implementations • 25 Jan 2021 • Marco Gerosa, Igor Wiese, Bianca Trinkenreich, Georg Link, Gregorio Robles, Christoph Treude, Igor Steinmacher, Anita Sarma

Open Source Software (OSS) has changed drastically over the last decade, with OSS projects now producing a large ecosystem of popular products, involving industry participation, and providing professional career opportunities.

Software Engineering