collaborators

7 papers

cs.HC2026

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…

cs.SE2026

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…

cs.CR2026

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…

cs.SE2026

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…

cs.SE2025

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…

cs.SE2025

"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…