Mia Mohammad Imran

According to our database, Mia Mohammad Imran authored at least 19 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

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, Chun-Hua Tsai, Jaydeb Sarker, Mia Mohammad Imran

CoRR, May, 2026

LLM-Enabled Open-Source Systems in the Wild: An Empirical Study of Vulnerabilities in GitHub Security Advisories.

Fariha Tanjim Shifat, Hariswar Baburaj, Ce Zhou, Jaydeb Sarker, Mia Mohammad Imran

CoRR, April, 2026

DePro: Understanding the Role of LLMs in Debugging Competitive Programming Code.

Nabiha Parvez, Tanvin Sarkar Pallab, Mia Mohammad Imran, Tarannum Shaila Zaman

CoRR, March, 2026

Improving Code Comprehension through Cognitive-Load Aware Automated Refactoring for Novice Programmers.

Subarna Saha, Alif Al Hasan, Fariha Tanjim Shifat, Mia Mohammad Imran

CoRR, March, 2026

Where Do AI Coding Agents Fail? An Empirical Study of Failed Agentic Pull Requests in GitHub.

Ramtin Ehsani, Sakshi Pathak, Shriya Rawal, Abdullah Al Mujahid, Mia Mohammad Imran, Preetha Chatterjee

CoRR, January, 2026

"TODO: Fix the Mess Gemini Created": Towards Understanding GenAI-Induced Self-Admitted Technical Debt.

Abdullah Al Mujahid, Mia Mohammad Imran

CoRR, January, 2026

OLAF: Towards Robust LLM-Based Annotation Framework in Empirical Software Engineering.

Mia Mohammad Imran, Tarannum Shaila Zaman

Proceedings of the 2026 IEEE/ACM International Workshop on Methodological Issues with Empirical Studies in Software Engineering, 2026

2025

Toxicity Ahead: Forecasting Conversational Derailment on GitHub.

Mia Mohammad Imran, Robert Zita, Rahat Rizvi Rahman, Preetha Chatterjee, Kostadin Damevski

CoRR, December, 2025

Learning Programming in Informal Spaces: Using Emotion as a Lens to Understand Novice Struggles on r/learnprogramming.

Alif Al Hasan, Subarna Saha, Mia Mohammad Imran

CoRR, November, 2025

Understanding and Predicting Derailment in Toxic Conversations on GitHub.

Mia Mohammad Imran, Robert Zita, Rebekah Copeland, Preetha Chatterjee, Rahat Rizvi Rahman, Kostadin Damevski

CoRR, March, 2025

"Silent Is Not Actually Silent": An Investigation of Toxicity on Bug Report Discussion.

Mia Mohammad Imran, Jaydeb Sarker

Proceedings of the 33rd ACM International Conference on the Foundations of Software Engineering, 2025

LLPut: Investigating Large Language Models for Bug Report-Based Input Generation.

Alif Al Hasan, Subarna Saha, Mia Mohammad Imran, Tarannum Shaila Zaman

Proceedings of the 33rd ACM International Conference on the Foundations of Software Engineering, 2025

2024

Emotion Classification In Software Engineering Texts: A Comparative Analysis of Pre-trained Transformers Language Models.

Mia Mohammad Imran

Proceedings of the Third ACM/IEEE International Workshop on NL-based Software Engineering, 2024

Incivility in Open Source Projects: A Comprehensive Annotated Dataset of Locked GitHub Issue Threads.

Ramtin Ehsani, Mia Mohammad Imran, Robert Zita, Kostadin Damevski, Preetha Chatterjee

Proceedings of the 21st IEEE/ACM International Conference on Mining Software Repositories, 2024

Shedding Light on Software Engineering-specific Metaphors and Idioms.

Mia Mohammad Imran, Preetha Chatterjee, Kostadin Damevski

Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

Uncovering the Causes of Emotions in Software Developer Communication Using Zero-shot LLMs.

Mia Mohammad Imran, Preetha Chatterjee, Kostadin Damevski

Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

2022

Using clarification questions to improve software developers' Web search.

Mia Mohammad Imran, Kostadin Damevski

Inf. Softw. Technol., 2022

Data Augmentation for Improving Emotion Recognition in Software Engineering Communication.

Mia Mohammad Imran, Yashasvi Jain, Preetha Chatterjee, Kostadin Damevski

Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering, 2022

2021

Automatically Selecting Follow-up Questions for Deficient Bug Reports.

Mia Mohammad Imran, Agnieszka Ciborowska, Kostadin Damevski

Proceedings of the 18th IEEE/ACM International Conference on Mining Software Repositories, 2021