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20232026
most citedAnticipating User Needs: Insights from Design Fiction on Conversational Agents for Computational Thinking

21 citations · 38 across the 22 of their papers we have counts for

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Showing 2025Show all

11 papers · 1 filter

cs.SE2025

A Comparison of Conversational Models and Humans in Answering Technical Questions: the Firefox Case

Joao Correia, Daniel Coutinho, Marco Castelluccio +6

The use of Large Language Models (LLMs) to support tasks in software development has steadily increased over recent years. From assisting developers in coding activities to providi…

cs.SE2025★ 1 cited

The Fast and Spurious: Developer Productivity with GenAI

Sadia Afroz, Zixuan Feng, Tyler Menezes +4

Generative AI (GenAI) tools are increasingly being adopted in software development as productivity aids, since there is evidence that GenAI tools can improve individual aspects of…

cs.SE2025

Charting Uncertain Waters: A Socio-Technical Roadmap for Sustaining Open Source Communities in the Age of GenAI

Zixuan Feng, Reed Milewicz, Emerson Murphy-Hill +4

Open Source Software (OSS) communities face a wave of uncertainty as Generative AI (GenAI) rapidly transforms how software is created, maintained, and governed. Without clear frame…

cs.SE2025★ 2 cited

Applying Large Language Models to Issue Classification: Revisiting with Extended Data and New Models

Gabriel Aracena, Kyle Luster, Fabio Santos +2

Effective prioritization of issue reports in software engineering helps to optimize resource allocation and information recovery. However, manual issue classification is laborious…

cs.HC2025

What Needs Attention? Prioritizing Drivers of Developers' Trust and Adoption of Generative AI

Rudrajit Choudhuri, Bianca Trinkenreich, Rahul Pandita +5

Generative AI (genAI) tools promise productivity gains, yet miscalibrated trust and usage friction still hinder adoption. Moreover, genAI can be exclusionary, failing to adequately…

cs.SE2025

Exploring the Untapped: Student Perceptions and Participation in OSS

Italo Santos, Katia Romero Felizardo, Bianca Trinkereinch +3

Open Source Software (OSS) projects offer valuable opportunities to train the next generation of software engineers while benefiting projects and society as a whole. While research…

cs.SE2025

Can Machine Learning Support the Selection of Studies for Systematic Literature Review Updates?

Marcelo Costalonga, Bianca Minetto Napoleão, Maria Teresa Baldassarre +3

[Background] Systematic literature reviews (SLRs) are essential for synthesizing evidence in Software Engineering (SE), but keeping them up-to-date requires substantial effort. Stu…

cs.SE2025

OSSDoorway: A Gamified Environment to Scaffold Student Contributions to Open Source Software

Italo Santos, Katia Romero Felizardo, Anita Sarma +2

Software engineering courses enable practical learning through assignments requiring contributions to open source software (OSS), allowing students to experience real-world project…

cs.SE2025

Great Power Brings Great Responsibility: Personalizing Conversational AI for Diverse Problem-Solvers

Italo Santos, Katia Romero Felizardo, Igor Steinmacher +1

Newcomers onboarding to Open Source Software (OSS) projects face many challenges. Large Language Models (LLMs), like ChatGPT, have emerged as potential resources for answering ques…

cs.SE2025

SkillScope: A Tool to Predict Fine-Grained Skills Needed to Solve Issues on GitHub

Benjamin C. Carter, Jonathan Rivas Contreras, Carlos A. Llanes Villegas +9

New contributors often struggle to find tasks that they can tackle when onboarding onto a new Open Source Software (OSS) project. One reason for this difficulty is that issue track…

cs.HC2025

The Multifaceted Nature of Mentoring in OSS: Strategies, Qualities, and Ideal Outcomes

Zixuan Feng, Igor Steinmacher, Marco Gerosa +4

Mentorship in open source software (OSS) is a vital, multifaceted process that includes onboarding newcomers, fostering skill development, and enhancing community building. This st…