37 citations · 70 across the 4 of their papers we have counts for
6 papers · 1 filter
The AI-Native Large-Scale Agile Software Development Manifesto
Ricardo Britto, Fredrik Palmgren, Nishrith Saini +1
Despite the widespread adoption of agile methods, achieving true agility at scale remains elusive. Large-scale agile frameworks remain largely human-centric and manual, relying on…
Modern Code Reviews -- Survey of Literature and Practice
Deepika Badampudi, Michael Unterkalmsteiner, Ricardo Britto
Background: Modern Code Review (MCR) is a lightweight alternative to traditional code inspections. While secondary studies on MCR exist, it is unknown whether the research communit…
Modern code reviews -- Preliminary results of a systematic mapping study
Deepika Badampudi, Ricardo Britto, Michael Unterkalmsteiner
Reviewing source code is a common practice in a modern and collaborative coding environment. In the past few years, the research on modern code reviews has gained interest among pr…
Tag that issue: Applying API-domain labels in issue tracking systems
Fabio Santos, Joseph Vargovich, Bianca Trinkenreich +8
Labeling issues with the skills required to complete them can help contributors to choose tasks in Open Source Software projects. However, manually labeling issues is time-consumin…
Using Machine Intelligence to Prioritise Code Review Requests
Nishrith Saini, Ricardo Britto
Modern Code Review (MCR) is the process of reviewing new code changes that need to be merged with an existing codebase. As a developer, one may receive many code review requests ev…
BULNER: BUg Localization with word embeddings and NEtwork Regularization
Jacson Rodrigues Barbosa, Ricardo Marcondes Marcacini, Ricardo Britto +4
Bug localization (BL) from the bug report is the strategic activity of the software maintaining process. Because BL is a costly and tedious activity, BL techniques information retr…