most citedOn the Need to Rethink Trust in AI Assistants for Software Development: A Critical Review

1 citations · 1 across the 10 of their papers we have counts for

collaborators

10 papers

cs.SE2026

The Case for Vibe Modeling: A Missing Step in AI-Based Trustworthy Software Development

Shalini Chakraborty, Michael Mittermaier, Judith Michael

Large Language Models (LLMs) are increasingly used to generate software artifacts from natural language prompts. While this enables rapid prototyping and lowers the barrier to soft…

cs.SE2026

Motivations and Barriers to Communicating Software Engineering Research: Insights from Early Career Researchers

Shalini Chakraborty, Marvin Wyrich, Sven Apel +1

Science communication is increasingly becoming a part of modern research careers, involving researchers to disseminate knowledge, engage broader communities, and increase the socie…

cs.SE2026

Trusting AI to increase productivity? Perspectives Across the Global North and South

Adam Bokun, Shalini Chakraborty

Generative AI (GenAI) tools are widely used in academia and software development, where productivity gains may depend not only on technical capabilities but also on users' trust an…

cs.CY2026

3C: Competition, Competence, and Collaboration for Women in Computing

Ioana Visescu, Shalini Chakraborty

Women in computer science and software engineering continue to face structural and cultural barriers affecting recognition, collaboration, and career progression. Existing environm…

cs.CY2026

Breaking In and Reaching Out: Networking for Women in Computer Science

Shalini Chakraborty

Networking is central to careers in computer science, where a globally distributed and diverse community increasingly collaborates across institutional and geographic boundaries, o…

cs.SE2025

Staying or Leaving? How Job Satisfaction, Embeddedness and Antecedents Predict Turnover Intentions of Software Professionals

Miikka Kuutila, Paul Ralph, Huilian Sophie Qiu +13

Context: Voluntary turnover is common in the software industry, increasing recruitment and onboarding costs and the risk of losing organizational and tacit knowledge. Objective: Th…

cs.SE2025

The Software Infrastructure Attitude Scale (SIAS): A Questionnaire Instrument for Measuring Professionals' Attitudes Toward Technical and Sociotechnical Infrastructure

Miikka Kuutila, Paul Ralph, Huilian Sophie Qiu +19

Context: Recent software engineering (SE) research has highlighted the need for sociotechnical research, implying a demand for customized psychometric scales. Objective: We define…

cs.SE2025

A Multifaceted View on Discrimination in Software Development Careers

Shalini Chakraborty, Sebastian Baltes

Conversations around diversity and inclusion in software engineering often focus on gender and racial disparities. However, the State of Devs 2025 survey with 8,717 participants re…

cs.SE2025

Lost in Transition: The Struggle of Women Returning to Software Engineering Research after Career Breaks

Shalini Chakraborty, Sebastian Baltes

The IT industry provides supportive pathways such as returnship programs, coding boot camps, and buddy systems for women re-entering their job after a career break. Academia, howev…

cs.SE2025★ 1 cited

On the Need to Rethink Trust in AI Assistants for Software Development: A Critical Review

Sebastian Baltes, Timo Speith, Brenda Chiteri +3

Trust is a fundamental concept in human decision-making and collaboration that has long been studied in philosophy and psychology. However, software engineering (SE) articles often…