50 citations · 51 across the 7 of their papers we have counts for
7 papers
Empirical Software Engineering in Practice: Insights from Google
Roberto Verdecchia, Justus Bogner
While it is fairly well known how empirical software engineering (ESE) is used in the academic world, we have limited knowledge of how ESE is practiced in industry. As part of our…
CAPRA: Scaling Feedback on Software Architecture Deliverables with a Multi-Agent LLM System
Marco Becattini, Niccolò Caselli, Matteo Minin +2
Automated assessment in software engineering education has advanced significantly for code grading and essay scoring. However, reviewing software architecture deliverables, which r…
The State of Peer Review in Empirical Software Engineering: A Community Survey on Review Load, Quality, and GenAI Use
Justus Bogner, Roberto Verdecchia
The scientific peer review system has been slowly deteriorating over the last years, and not just within empirical software engineering (ESE) research. Increased submission numbers…
The Human Need for Storytelling: Reflections on Qualitative Software Engineering Research With a Focus Group of Experts
Roberto Verdecchia, Justus Bogner
From its first adoption in the late 80s, qualitative research has slowly but steadily made a name for itself in what was, and perhaps still is, the predominantly quantitative softw…
ACM SIGSOFT SEN Empirical Software Engineering: Introducing Our New Regular Column
Justus Bogner, Roberto Verdecchia
From its early foundations in the 1970s, empirical software engineering (ESE) has evolved into a mature research discipline that embraces a plethora of different topics, methodolog…
Notes On Writing Effective Empirical Software Engineering Papers: An Opinionated Primer
Roberto Verdecchia, Justus Bogner
While mastered by some, good scientific writing practices within Empirical Software Engineering (ESE) research appear to be seldom discussed and documented. Despite this, these pra…
Characterizing Technical Debt and Antipatterns in AI-Based Systems: A Systematic Mapping Study
Justus Bogner, Roberto Verdecchia, Ilias Gerostathopoulos
Background: With the rising popularity of Artificial Intelligence (AI), there is a growing need to build large and complex AI-based systems in a cost-effective and manageable way.…