| 2026 | SANER | RefineID: A Developer-Centric IDE Assistant for Better Identifiers. | Eya Jeljli, Tushar Sharma |
| 2026 | SANER | Grounding Generative AI in Software Engineering: Are We There Yet? | Mootez Saad, Jos Antonio Hernndez Lpez, Boqi Chen, Neil A. Ernst, Dniel Varr, Tushar Sharma |
| 2026 | SANER | Mind the Merge: Evaluating the Effects of Token Merging on Pre-Trained Models for Code. | Mootez Saad, Hao Li, Tushar Sharma, Ahmed E. Hassan |
| 2026 | SANER | Concord: A DSL for Generating Simplified and Scalable Graph-Based Code Representations. | Mootez Saad, Tushar Sharma |
| 2025 | EASE | Reinforcement Learning vs Supervised Learning: A tug of war to generate refactored code accurately. | Indranil Palit, Tushar Sharma |
| 2025 | ESEM | Mapping Code Smells and Refactorings Accurately: Insights from an Empirical Study. | Gautam Shetty, Tushar Sharma |
| 2025 | MSR | DPy: Code Smells Detection Tool for Python. | Aryan Boloori, Tushar Sharma |
| 2025 | MSR | It Works (only) on My Machine: A Study on Reproducibility Smells in Ansible Scripts. | Ghazal Sobhani, Israat Haque, Tushar Sharma |
| 2024 | EASE | Exploring Influence of Feature Toggles on Code Complexity. | Tajmilur Rahman, Imran Shalabi, Tushar Sharma |
| 2024 | ICSA | Benchmarking Emerging Deep Learning Quantization Methods for Energy Efficiency. | Saurabhsingh Rajput, Tushar Sharma |
| 2024 | ICSA | LLMs for Code: The Potential, Prospects, and Problems. | Tushar Sharma |
| 2024 | ICSE | Naturalness of Attention: Revisiting Attention in Code Language Models. | Mootez Saad, Tushar Sharma |
| 2024 | MSR | Greenlight: Highlighting TensorFlow APIs Energy Footprint. | Saurabhsingh Rajput, Maria Kechagia, Federica Sarro, Tushar Sharma |
| 2024 | MSR | Multi-faceted Code Smell Detection at Scale using DesigniteJava 2.0. | Tushar Sharma |
| 2024 | SCAM | Enhancing Identifier Naming Through Multi-Mask Fine-Tuning of Language Models of Code. | Sanidhya Vijayvargiya, Mootez Saad, Tushar Sharma |
| 2023 | MSR | DACOS - A Manually Annotated Dataset of Code Smells. | Himesh Nandani, Mootez Saad, Tushar Sharma |
| 2023 | SCAM | Calibrating Deep Learning-based Code Smell Detection using Human Feedback. | Himesh Nandani, Mootez Saad, Tushar Sharma |
| 2022 | ICSE | Green AI: Do Deep Learning Frameworks Have Different Costs? | Stefanos Georgiou, Maria Kechagia, Tushar Sharma, Federica Sarro, Ying Zou |
| 2022 | MSR | Empirical Standards for Repository Mining. | Preetha Chatterjee, Tushar Sharma, Paul Ralph |
| 2021 | AAAI | Mining Intelligent Patterns using SVAC for Precision Agriculture and Optimizing Irrigation (Student Abstract). | Vishal Vinod, Vipul Gaurav, Tushar Sharma, Savita Choudhary |
| 2021 | MSR | Architecture Smells and Pareto Principle: A Preliminary Empirical Exploration. | Alexandra-Maria Chaniotaki, Tushar Sharma |
| 2021 | MSR | QScored: A Large Dataset of Code Smells and Quality Metrics. | Tushar Sharma, Marouane Kessentini |
| 2020 | SCAM | Understanding and Characterizing Changes in Bugs Priority: The Practitioners' Perceptive. | Rafi Almhana, Thiago do Nascimento Ferreira, Marouane Kessentini, Tushar Sharma |
| 2019 | ICSE | How deep is the mud: fathoming architecture technical debt using designite. | Tushar Sharma |
| 2018 | ICSE | Detecting and managing code smells: research and practice. | Tushar Sharma |
| 2018 | ICSE | Smelly relations: measuring and understanding database schema quality. | Tushar Sharma, Marios Fragkoulis, Stamatia Rizou, Magiel Bruntink, Diomidis Spinellis |
| 2017 | ESEM | House of Cards: Code Smells in Open-Source C# Repositories. | Tushar Sharma, Marios Fragkoulis, Diomidis Spinellis |
| 2017 | ICSE | Towards a context dependent Java exceptions hierarchy. | Maria Kechagia, Tushar Sharma, Diomidis Spinellis |
| 2017 | SAS | A New Abstraction Framework for Affine Transformers. | Tushar Sharma, Thomas W. Reps |
| 2017 | VMCAI | Sound Bit-Precise Numerical Domains. | Tushar Sharma, Thomas W. Reps |
| 2016 | ICSE | Designite: a software design quality assessment tool. | Tushar Sharma, Pratibha Mishra, Rohit Tiwari |
| 2016 | MSR | Does your configuration code smell? | Tushar Sharma, Marios Fragkoulis, Diomidis Spinellis |
| 2016 | OOPSLA | Speeding up machine-code synthesis. | Venkatesh Srinivasan, Tushar Sharma, Thomas W. Reps |
| 2016 | OSDI | Efficient Network Reachability Analysis Using a Succinct Control Plane Representation. | Seyed Kaveh Fayaz, Tushar Sharma, Ari Fogel, Ratul Mahajan, Todd D. Millstein, Vyas Sekar, George Varghese |
| 2016 | SCAM | Augur: Incorporating Hidden Dependencies and Variable Granularity in Change Impact Analysis. | Tushar Sharma, Girish Suryanarayana |
| 2013 | ICSE | MIDAS: a design quality assessment method for industrial software. | Ganesh Samarthyam, Girish Suryanarayana, Tushar Sharma, Shrinath Gupta |
| 2012 | COMPSAC | Quantifying Quality of Software Design to Measure the Impact of Refactoring. | Tushar Sharma |
| 2012 | FAST | Consistency without ordering. | Vijay Chidambaram, Tushar Sharma, Andrea C. Arpaci-Dusseau, Remzi H. Arpaci-Dusseau |
| 2012 | ICSE | Identifying extract-method refactoring candidates automatically. | Tushar Sharma |
| 2011 | COMPSAC | Quality Model Driven Dynamic Analysis. | P. V. R. Murthy, Saravana Kumar V., Tushar Sharma, Kiron Rao |
| 2011 | SAS | Abstract Domains of Affine Relations. | Matt Elder, Junghee Lim, Tushar Sharma, Tycho Andersen, Thomas W. Reps |