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

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

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

Calibration and Correctness of Language Models for Code. - Spiess, Claudio; Gros, David; Pai, Kunal Suresh; Pradel, Michael; Rabin, Md. Rafiqul Islam; Alipour, Amin; Jha, Susmit; Devanbu, Prem; Ahmed, Toufique (CoRR, 2024)

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

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

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

Can LLMs Replace Manual Annotation of Software Engineering Artifacts? - Ahmed, Toufique; Devanbu, Premkumar T.; Treude, Christoph; Pradel, Michael (CoRR, 2024)

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

NatGen: Generative pre-training by "Naturalizing" source code. - Chakraborty, Saikat; Ahmed, Toufique; Ding, Yangruibo; Devanbu, Premkumar T.; Ray, Baishakhi (CoRR, 2022)

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

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

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

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

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

Multilingual training for Software Engineering. - Ahmed, Toufique; Devanbu, Premkumar T. (CoRR, 2021)

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

Learning Lenient Parsing & Typing via Indirect Supervision. - Ahmed, Toufique; Hellendoorn, Vincent J.; Devanbu, Premkumar T. (CoRR, 2019)

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

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

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

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

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

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

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

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