12 citations · 17 across the 5 of their papers we have counts for
5 papers
Test-Oriented Programming: rethinking coding for the GenAI era
Jorge Melegati
Large language models (LLMs) have shown astonishing capability of generating software code, leading to its use to support developers in programming. Proposed tools have relied eith…
The Landscape of Generative AI in Information Systems: A Synthesis of Secondary Reviews and Research Agendas
Aleksander Jarzębowicz, Adam Przybyłek, Jacinto Estima +14
The post-ChatGPT surge has rapidly reframed IS research and practice. As organizations and society grapple with GenAI adoption, a body of secondary studies and research agendas has…
Role and Identity Work of Software Engineering Professionals in the Generative AI Era
Jorge Melegati
The adoption of Generative AI (GenAI) suggests major changes for software engineering, including technical aspects but also human aspects of the professionals involved. One of thes…
Leveraging multi-task learning to improve the detection of SATD and vulnerability
Barbara Russo, Jorge Melegati, Moritz Mock
Multi-task learning is a paradigm that leverages information from related tasks to improve the performance of machine learning. Self-Admitted Technical Debt (SATD) are comments in…
Generative AI for Test Driven Development: Preliminary Results
Moritz Mock, Jorge Melegati, Barbara Russo
Test Driven Development (TDD) is one of the major practices of Extreme Programming for which incremental testing and refactoring trigger the code development. TDD has limited adopt…