Journal articles

Conference articles

  • Himesh Nandani, Mootez Saad and Tushar Sharma. Calibrating Deep Learning-based Code Smell Detection using Human Feedback, Accepted in IEEE SCAM, Aug 2023. Preprint
  • Harsh Mukeshkumar Shah, Qurram Zaheer Syed, Bharatwaaj Shankaranarayanan, Indranil Palit, Arshdeep Singh, Kavya Raval, Kishan Savaliya and Tushar Sharma. Mining and Fusing Productivity Metrics with Code Quality Information at Scale, Accepted in IEEE ICSME (Tools track), Aug 2023. Preprint
  • Indranil Palit, Gautam Shetty, Hera Arif and Tushar Sharma. Automatic Refactoring Candidate Identification Leveraging Effective Code Representation, Accepted in IEEE ICSME (NIER track), Aug 2023. Preprint
  • Himesh Nandani, Mootez Saad, Tushar Sharma. DACOS-A Manually Annotated Dataset of Code Smells. Mining Software Repositories (MSR 2023) - Dataset and tools track. Preprint
  • Stefanos Georgiou, Maria Kechagia, Tushar Sharma, Federica Sarro, Ying Zou. Green AI: Do Deep Learning Frameworks Have Different Costs? in 44th International Conference on Software Engineering (ICSE 2022) - Technical track. Preprint
  • Akond Rahman, Tushar Sharma. Lessons from Research to Practice on Writing Better Quality Puppet Scripts. in 29th IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2022. Pre-print
  • Akash Rajesh Agrawal, Sung Jun Won, Mayuri Deshpande, Tushar Sharma, Christopher Carson McComb, "A Multi-Agent Reinforcement Learning Framework for Intelligent Manufacturing with Autonomous Mobile Robots", Apr 21, ICED21 23rd International Conference on Engineering Design.
  • Alexandra-Maria Chaniotaki, Tushar Sharma "Architecture Smells and Pareto Principle: A Preliminary Empirical Exploration", MSR 2021 (Research track). Preprint
  • Tushar Sharma, Marouane Kessentini. "QScored: A Large Dataset of Code Smells and Quality Metrics", MSR 2021 (Data showcase track). Preprint

Technical reports

  • Tushar Sharma, Maria Kechagia, Stefanos Georgiou, Rohit Tiwari, Indira Vats, Hadi Moazen, Federica Sarro. "A Survey on Machine Learning Techniques for Source Code Analysis", Oct 2021. Available on Arxiv.