10 citations · 18 across the 8 of their papers we have counts for
4 papers · 1 filter
Bug Detective and Quality Coach: Developers' Mental Models of AI-Assisted IDE Tools
Paolo Buono, Mary Cerullo, Stefano Cirillo +7
AI-assisted tools support developers in performing cognitively demanding tasks such as bug detection and code readability assessment. Despite the advancements in the technical char…
How do Copilot Suggestions Impact Developers' Frustration and Productivity?
Emanuela Guglielmi, Venera Arnoudova, Gabriele Bavota +2
Context. AI-based development tools, such as GitHub Copilot, are transforming the software development process by offering real-time code suggestions. These tools promise to improv…
Identifying and Replicating Code Patterns Driving Performance Regressions in Software Systems
Denivan Campos, Luana Martins, Emanuela Guglielmi +6
Context: Performance regressions negatively impact execution time and memory usage of software systems. Nevertheless, there is a lack of systematic methods to evaluate the effectiv…
Personalized Code Readability Assessment: Are We There Yet?
Antonio Vitale, Emanuela Guglielmi, Rocco Oliveto +1
Unreadable code could be a breeding ground for errors. Thus, previous work defined approaches based on machine learning to automatically assess code readability that can warn devel…