activity
20242026
most citedEnergy Patterns for Web: An Exploratory Study

12 citations · 26 across the 8 of their papers we have counts for

collaborators

8 papers

cs.SE2026

The Value of Effective Pull Request Description

Shirin Pirouzkhah, Pavlína Wurzel Gonçalves, Alberto Bacchelli

In the pull-based development model, code contributions are submitted as pull requests (PRs) to undergo reviews and approval by other developers with the goal of being merged into…

cs.SE2026

Consistent or Sensitive? Automated Code Revision Tools Against Semantics-Preserving Perturbations

Shirin Pirouzkhah, Souhaila Serbout, Alberto Bacchelli

Automated Code Revision (ACR) tools aim to reduce manual effort by automatically generating code revisions based on reviewer feedback. While ACR tools have shown promising performa…

cs.HC2025

Is General-Purpose AI Reasoning Sensitive to Data-Induced Cognitive Biases? Dynamic Benchmarking on Typical Software Engineering Dilemmas

Francesco Sovrano, Gabriele Dominici, Rita Sevastjanova +2

Human cognitive biases in software engineering can lead to costly errors. While general-purpose AI (GPAI) systems may help mitigate these biases due to their non-human nature, thei…

cs.SE2025

Code Review Comprehension: Reviewing Strategies Seen Through Code Comprehension Theories

Pavlína Wurzel Gonçalves, Pooja Rani, Margaret-Anne Storey +2

Despite the popularity and importance of modern code review, the understanding of the cognitive processes that enable reviewers to analyze code and provide meaningful feedback is l…

cs.SE2025

Can We Make Code Green? Understanding Trade-Offs in LLMs vs. Human Code Optimizations

Pooja Rani, Jan-Andrea Bard, June Sallou +3

The rapid technological evolution has accelerated software development for various domains and use cases, contributing to a growing share of global carbon emissions. While recent l…

cs.SE2025★ 9 cited

Large Language Models for In-File Vulnerability Localization Can Be "Lost in the End"

Francesco Sovrano, Adam Bauer, Alberto Bacchelli

Recent advancements in artificial intelligence have enabled processing of larger inputs, leading everyday software developers to increasingly rely on chat-based large language mode…

cs.SE2024★ 5 cited

An Empirical Study on Compliance with Ranking Transparency in the Software Documentation of EU Online Platforms

Francesco Sovrano, Michaël Lognoul, Alberto Bacchelli

Compliance with the European Union's Platform-to-Business (P2B) Regulation is challenging for online platforms, and assessing their compliance can be difficult for public authoriti…

cs.SE2024★ 12 cited

Energy Patterns for Web: An Exploratory Study

Pooja Rani, Jonas Zellweger, Veronika Kousadianos +3

As the energy footprint generated by software is increasing at an alarming rate, understanding how to develop energy-efficient applications has become a necessity. Previous work ha…