Poster: Measuring Developers' Sentiments in the Android Open Source Project. - Toufique Ahmed (MobiSys (Companion Volume), 2016)

Poster: ETRACK: Energy Efficient Tracking a Mobile Object Using Under Water Sensors. - Nazia Majadi; Mahmuda Naznin; Toufique Ahmed (MobiSys (Companion Volume), 2016)

Efficient Routing in a Sensor Network Using Collaborative Ants. - Md. Shaifur Rahman; Mahmuda Naznin; Toufique Ahmed (ICSI (2), 2016)

Energy efficient local search based target localization in an UWSN. - Nazia Majadi; Mahmuda Naznin; Toufique Ahmed (WiMob, 2016)

SentiCR: a customized sentiment analysis tool for code review interactions. - Toufique Ahmed; Amiangshu Bosu; Anindya Iqbal; Shahram Rahimi 001 (ASE, 2017)

Weighted Optimal Sequenced Group Trip Planning Queries. - Sukarna Barua; Roksana Jahan; Toufique Ahmed (MDM, 2017)

SOQDE: A Supervised Learning Based Question Difficulty Estimation Model for Stack Overflow. - Sk Adnan Hassan; Dipto Das; Anindya Iqbal; Amiangshu Bosu; Rifat Shahriyar; Toufique Ahmed (APSEC, 2018)

Accepted or Abandoned? Predicting the Fate of Code Changes. - Md. Khairul Islam; Toufique Ahmed; Fahim Ahmed; Anindya Iqbal (CoRR, 2019)

Review4Repair: Code Review Aided Automatic Program Repairing. - Faria Huq; Masum Hasan; Mahim Anzum Haque Pantho; Sazan Mahbub; Anindya Iqbal; Toufique Ahmed (CoRR, 2020)

Learning type annotation: is big data enough? - Kevin Jesse; Premkumar T. Devanbu; Toufique Ahmed (ESEC/SIGSOFT FSE, 2021)

Finding Inlined Functions in Optimized Binaries. - Toufique Ahmed; Premkumar T. Devanbu; Anand Ashok Sawant (CoRR, 2021)

SYNFIX: Automatically Fixing Syntax Errors using Compiler Diagnostics. - Toufique Ahmed; Noah Rose Ledesma; Premkumar T. Devanbu (CoRR, 2021)

Learning lenient parsing & typing via indirect supervision. - Toufique Ahmed; Premkumar T. Devanbu; Vincent J. Hellendoorn (Empir. Softw. Eng., 2021)

Multilingual training for Software Engineering. - Toufique Ahmed; Premkumar T. Devanbu (ICSE, 2022)

Few-shot training LLMs for project-specific code-summarization. - Toufique Ahmed; Premkumar T. Devanbu (ASE, 2022)

NatGen: generative pre-training by "naturalizing" source code. - Saikat Chakraborty; Toufique Ahmed; Yangruibo Ding; Premkumar T. Devanbu; Baishakhi Ray (ESEC/SIGSOFT FSE, 2022)

Learning code summarization from a small and local dataset. - Toufique Ahmed; Premkumar T. Devanbu (CoRR, 2022)

Review4Repair: Code review aided automatic program repairing. - Faria Huq; Masum Hasan; Md. Mahim Anjum Haque; Sazan Mahbub; Anindya Iqbal; Toufique Ahmed (Inf. Softw. Technol., 2022)

Early prediction for merged vs abandoned code changes in modern code reviews. - Md. Khairul Islam; Toufique Ahmed; Rifat Shahriyar; Anindya Iqbal; Gias Uddin 001 (Inf. Softw. Technol., 2022)

Learning to Find Usages of Library Functions in Optimized Binaries. - Toufique Ahmed; Premkumar T. Devanbu; Anand Ashok Sawant (IEEE Trans. Software Eng., 2022)

BinT5: Binary Code Summarisation Model. - Ali Al-Kaswan; Toufique Ahmed; Maliheh Izadi; Anand Ashok Sawant; Prem Devanbu; Arie van Deursen (Zenodo, 2022)

CAPYBARA: Decompiled Binary Functions and Related Summaries. - Ali Al-Kaswan; Toufique Ahmed; Maliheh Izadi; Anand Ashok Sawant; Prem Devanbu; Arie van Deursen (Zenodo, 2022)

Recommending Root-Cause and Mitigation Steps for Cloud Incidents using Large Language Models. - Toufique Ahmed; Supriyo Ghosh; Chetan Bansal; Thomas Zimmermann 001; Xuchao Zhang; Saravan Rajmohan (ICSE, 2023)

Better Patching Using LLM Prompting, via Self-Consistency. - Toufique Ahmed; Premkumar T. Devanbu (ASE, 2023)

Large Language Models and Simple, Stupid Bugs. - Kevin Jesse; Toufique Ahmed; Premkumar T. Devanbu; Emily Morgan (MSR, 2023)

Extending Source Code Pre-Trained Language Models to Summarise Decompiled Binarie. - Ali Al-Kaswan; Toufique Ahmed; Maliheh Izadi; Anand Ashok Sawant; Premkumar T. Devanbu; Arie van Deursen (SANER, 2023)

Extending Source Code Pre-Trained Language Models to Summarise Decompiled Binaries. - Ali Al-Kaswan; Toufique Ahmed; Maliheh Izadi; Anand Ashok Sawant; Premkumar T. Devanbu; Arie van Deursen (CoRR, 2023)

Improving Few-Shot Prompts with Relevant Static Analysis Products. - Toufique Ahmed; Kunal Suresh Pai; Premkumar T. Devanbu; Earl T. Barr (CoRR, 2023)

A Survey of Trojans in Neural Models of Source Code: Taxonomy and Techniques. - Aftab Hussain 001; Md. Rafiqul Islam Rabin; Toufique Ahmed; Bowen Xu; Prem Devanbu; Mohammad Amin Alipour (CoRR, 2023)

Majority Rule: better patching via Self-Consistency. - Toufique Ahmed; Premkumar T. Devanbu (CoRR, 2023)

Towards Understanding What Code Language Models Learned. - Toufique Ahmed; Dian Yu 002; Chengxuan Huang; Cathy Wang; Prem Devanbu; Kenji Sagae (CoRR, 2023)

Occlusion-based Detection of Trojan-triggering Inputs in Large Language Models of Code. - Aftab Hussain 001; Md. Rafiqul Islam Rabin; Toufique Ahmed; Mohammad Amin Alipour; Bowen Xu (CoRR, 2023)

Learning program embedding from unlabeled source code - Toufique Ahmed (2023)

SynShine: Improved Fixing of Syntax Errors. - Toufique Ahmed; Noah Rose Ledesma; Premkumar T. Devanbu (IEEE Trans. Software Eng., 2023)

Automatic Semantic Augmentation of Language Model Prompts (for Code Summarization). - Toufique Ahmed; Kunal Suresh Pai; Premkumar T. Devanbu; Earl T. Barr (ICSE, 2024)

Studying LLM Performance on Closed- and Open-source Data. - Toufique Ahmed; Christian Bird; Premkumar T. Devanbu; Saikat Chakraborty (CoRR, 2024)

Enhancing Trust in LLM-Generated Code Summaries with Calibrated Confidence Scores. - Yuvraj Virk; Premkumar T. Devanbu; Toufique Ahmed (CoRR, 2024)

Trojans in Large Language Models of Code: A Critical Review through a Trigger-Based Taxonomy. - Aftab Hussain 001; Md. Rafiqul Islam Rabin; Toufique Ahmed; Bowen Xu; Premkumar T. Devanbu; Mohammad Amin Alipour (CoRR, 2024)

Prompting and Fine-tuning Large Language Models for Automated Code Review Comment Generation. - Md. Asif Haider; Ayesha Binte Mostofa; Sk Md Mosaddek Hossain; Anindya Iqbal; Toufique Ahmed (CoRR, 2024)

TDD-Bench Verified: Can LLMs Generate Tests for Issues Before They Get Resolved? - Toufique Ahmed; Martin Hirzel; Rangeet Pan; Avraham Shinnar; Saurabh Sinha (CoRR, 2024)

Finding Trojan Triggers in Code LLMs: An Occlusion-Based Human-in-the-Loop Approach. - Aftab Hussain 001; Md. Rafiqul Islam Rabin; Toufique Ahmed; Mohammad Amin Alipour; Bowen Xu; Stephen Huang (CAIN, 2025)

Calibration and Correctness of Language Models for Code. - Claudio Spiess; David Gros 001; Kunal Suresh Pai; Michael Pradel; Md. Rafiqul Islam Rabin; Amin Alipour; Susmit Jha; Prem Devanbu; Toufique Ahmed (ICSE, 2025)

Can LLMs Replace Manual Annotation of Software Engineering Artifacts? - Toufique Ahmed; Premkumar T. Devanbu; Christoph Treude; Michael Pradel (MSR, 2025)

CoDocBench: A Dataset for Code-Documentation Alignment in Software Maintenance. - Kunal Suresh Pai; Premkumar T. Devanbu; Toufique Ahmed (MSR, 2025)

Calibration of Large Language Models on Code Summarization. - Yuvraj Virk; Premkumar T. Devanbu; Toufique Ahmed (Proc. ACM Softw. Eng., 2025)

CoDocBench: A Dataset for Code-Documentation Alignment in Software Maintenance. - Kunal Pai; Premkumar T. Devanbu; Toufique Ahmed (Zenodo, 2025)

Otter: Generating Tests from Issues to Validate SWE Patches. - Toufique Ahmed; Jatin Ganhotra; Rangeet Pan; Avraham Shinnar; Saurabh Sinha; Martin Hirzel (CoRR, 2025)

CoDocBench: A Dataset for Code-Documentation Alignment in Software Maintenance. - Kunal Pai; Premkumar T. Devanbu; Toufique Ahmed (Zenodo, 2025)