2 citations · 3 across the 11 of their papers we have counts for
11 papers
Towards SocratiCode: Designing a Generative AI-Based Programming Tutor for K-12 Students through a 4-Week Participatory Design Study
Cassandra Lucas, Anshul Bihani, Rohini Kukka +3
Generative AI creates new opportunities for programming education, but many existing systems remain overly directive, producing lengthy explanations and premature solutions that ca…
ToxiShield: Promoting Inclusive Developer Communication through Real-Time Toxicity Filtering
MD Awsaf Alam Anindya, Showvik Biswas, Anindya Iqbal +2
Toxic interactions during code reviews can undermine teamwork and hinder productivity in software engineering (SE) teams. While prior studies explore toxicity detection and empiric…
LLM-Enabled Open-Source Systems in the Wild: An Empirical Study of Vulnerabilities in GitHub Security Advisories
Fariha Tanjim Shifat, Hariswar Baburaj, Ce Zhou +2
Large language models (LLMs) are increasingly embedded in open-source software (OSS) ecosystems, creating complex interactions among natural language prompts, probabilistic model o…
Real-Time Toxicity Filtering for Open-Source Code Reviews
Md Awsaf Alam Anindya, Showvik Biswas, Anindya Iqbal +2
Toxic interactions in open-source software development harm community collaboration. To combat this, we propose ToxiShield, a realtime browser extension that identifies and detoxif…
"Silent Is Not Actually Silent": An Investigation of Toxicity on Bug Report Discussion
Mia Mohammad Imran, Jaydeb Sarker
Toxicity in bug report discussions poses significant challenges to the collaborative dynamics of open-source software development. Bug reports are crucial for identifying and resol…
The Landscape of Toxicity: An Empirical Investigation of Toxicity on GitHub
Jaydeb Sarker, Asif Kamal Turzo, Amiangshu Bosu
Toxicity on GitHub can severely impact Open Source Software (OSS) development communities. To mitigate such behavior, a better understanding of its nature and how various measurabl…
Automated Identification of Sexual Orientation and Gender Identity Discriminatory Texts from Issue Comments
Sayma Sultana, Jaydeb Sarker, Farzana Israt +2
In an industry dominated by straight men, many developers representing other gender identities and sexual orientations often encounter hateful or discriminatory messages. Such comm…
Towards Automated Classification of Code Review Feedback to Support Analytics
Asif Kamal Turzo, Fahim Faysal, Ovi Poddar +3
Background: As improving code review (CR) effectiveness is a priority for many software development organizations, projects have deployed CR analytics platforms to identify potenti…
ToxiSpanSE: An Explainable Toxicity Detection in Code Review Comments
Jaydeb Saker, Sayma Sultana, Steven R. Wilson +1
Background: The existence of toxic conversations in open-source platforms can degrade relationships among software developers and may negatively impact software product quality. To…
Automated Identification of Toxic Code Reviews Using ToxiCR
Jaydeb Sarker, Asif Kamal Turzo, Ming Dong +1
Toxic conversations during software development interactions may have serious repercussions on a Free and Open Source Software (FOSS) development project. For example, victims of t…
A Benchmark Study of the Contemporary Toxicity Detectors on Software Engineering Interactions
Jaydeb Sarker, Asif Kamal Turzo, Amiangshu Bosu
Automated filtering of toxic conversations may help an Open-source software (OSS) community to maintain healthy interactions among the project participants. Although, several gener…