Tushar Sharma - RankMe

81 papers A* 2A 18B 1C 4Journal 40Unranked 15

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	CodeGreen: Towards Improving Precision and Portability in Software Energy Measurement. CoRR Saurabhsingh Rajput, Tushar Sharma
2026	J	`jnl`	Energy Flow Graph: Modeling Software Energy Consumption. CoRR Saurabhsingh Rajput, Tushar Sharma
2026	J	`jnl`	FlipFlop: A Static Analysis-based Energy Optimization Framework for GPU Kernels. CoRR Saurabhsingh Rajput, Alexander Brandt, Vadim Elisseev, Tushar Sharma
2026	J	`jnl`	Not All Tokens Matter: Data-Centric Optimization for Efficient Code Summarization. CoRR Saima Afrin, Zaiyu Cheng, Tushar Sharma, Alexander Serebrenik, Massimiliano Di Penta, Antonio Mastropaolo
2026	J	`jnl`	Tu(r)ning AI Green: Exploring Energy Efficiency Cascading With Orthogonal Optimizations. IEEE Softw. Saurabhsingh Rajput, Mootez Saad, Tushar Sharma
2025	J	`jnl`	An Adaptive Language-Agnostic Pruning Method for Greener Language Models for Code. Proc. ACM Softw. Eng. Mootez Saad, José Antonio Hernández López, Boqi Chen, Dániel Varró, Tushar Sharma
2025	J	`jnl`	COMET: Generating commit messages using delta graph context representation. J. Syst. Softw. Abhinav Reddy Mandli, Saurabhsingh Rajput, Tushar Sharma
2025	A	`conf`	DPy: Code Smells Detection Tool for Python. MSR Aryan Boloori, Tushar Sharma
2025	J	`jnl`	Hierarchical Evaluation of Software Design Capabilities of Large Language Models of Code. CoRR Mootez Saad, Boqi Chen, José Antonio Hernández López, Dániel Varró, Tushar Sharma
2025	A	`conf`	It Works (only) on My Machine: A Study on Reproducibility Smells in Ansible Scripts. MSR Ghazal Sobhani, Israat Haque, Tushar Sharma
2025	—	`conf`	MaRV: A Manually Validated Refactoring Dataset. Forge@ICSE Henrique Nunes, Tushar Sharma, Eduardo Figueiredo
2025	A	`conf`	Mapping Code Smells and Refactorings Accurately: Insights from an Empirical Study. ESEM Gautam Shetty, Tushar Sharma
2025	J	`jnl`	On Inter-Dataset Code Duplication and Data Leakage in Large Language Models. IEEE Trans. Software Eng. José Antonio Hernández López, Boqi Chen, Mootez Saad, Tushar Sharma, Dániel Varró
2025	J	`jnl`	On the Effect of Token Merging on Pre-trained Models for Code. CoRR Mootez Saad, Hao Li, Tushar Sharma, Ahmed E. Hassan
2025	J	`jnl`	On the Sustainability of AI Inferences in the Edge. CoRR Ghazal Sobhani, Md. Monzurul Amin Ifath, Tushar Sharma, Israat Haque
2025	A	`conf`	Reinforcement Learning vs Supervised Learning: A tug of war to generate refactored code accurately. EASE Indranil Palit, Tushar Sharma
2025	J	`jnl`	SENAI: Towards Software Engineering Native Generative Artificial Intelligence. CoRR Mootez Saad, José Antonio Hernández López, Boqi Chen, Neil A. Ernst, Dániel Varró, Tushar Sharma
2025	J	`jnl`	Smart but Costly? Benchmarking LLMs on Functional Accuracy and Energy Efficiency. CoRR Mohammad Javad Mehditabar, Saurabhsingh Rajput, Antonio Mastropaolo, Tushar Sharma
2025	—	`conf`	TS-Detector : Detecting Feature Toggle Usage Patterns. SIGSOFT FSE Companion Tajmilur Rahman, Mengzhe Fei, Tushar Sharma, Chanchal Roy
2025	J	`jnl`	TS-Detector : Detecting Feature Toggle Usage Patterns. CoRR Tajmilur Rahman, Mengzhe Fei, Tushar Sharma, Chanchal Roy
2025	J	`jnl`	Taxonomy of Faults in Attention-Based Neural Networks. CoRR Sigma Jahan, Saurabhsingh Rajput, Tushar Sharma, Mohammad Masudur Rahman
2025	J	`jnl`	Tu(r)ning AI Green: Exploring Energy Efficiency Cascading with Orthogonal Optimizations. CoRR Saurabhsingh Rajput, Mootez Saad, Tushar Sharma
2024	J	`jnl`	A survey on machine learning techniques applied to source code. J. Syst. Softw. Tushar Sharma, Maria Kechagia, Stefanos Georgiou, Rohit Tiwari, Indira Vats, Hadi Moazen, Federica Sarro
2024	J	`jnl`	ALPINE: An adaptive language-agnostic pruning method for language models for code. CoRR Mootez Saad, José Antonio Hernández López, Boqi Chen, Dániel Varró, Tushar Sharma
2024	—	`conf`	Benchmarking Emerging Deep Learning Quantization Methods for Energy Efficiency. ICSA-C Saurabhsingh Rajput, Tushar Sharma
2024	A	`conf`	Broken Windows: Exploring the Applicability of a Controversial Theory on Code Quality. ICSME Diomidis Spinellis, Panos Louridas, Maria Kechagia, Tushar Sharma
2024	J	`jnl`	Broken Windows: Exploring the Applicability of a Controversial Theory on Code Quality. CoRR Diomidis Spinellis, Panos Louridas, Maria Kechagia, Tushar Sharma
2024	J	`jnl`	COMET: Generating Commit Messages using Delta Graph Context Representation. CoRR Abhinav Reddy Mandli, Saurabhsingh Rajput, Tushar Sharma
2024	J	`jnl`	CONCORD: Towards a DSL for Configurable Graph Code Representation. CoRR Mootez Saad, Tushar Sharma
2024	J	`jnl`	Enhancing Energy-Awareness in Deep Learning through Fine-Grained Energy Measurement. ACM Trans. Softw. Eng. Methodol. Saurabhsingh Rajput, Tim Widmayer, Ziyuan Shang, Maria Kechagia, Federica Sarro, Tushar Sharma
2024	C	`conf`	Enhancing Identifier Naming Through Multi-Mask Fine-Tuning of Language Models of Code. SCAM Sanidhya Vijayvargiya, Mootez Saad, Tushar Sharma
2024	A	`conf`	Exploring Influence of Feature Toggles on Code Complexity. EASE Tajmilur Rahman, Imran Shalabi, Tushar Sharma
2024	J	`jnl`	Generating refactored code accurately using reinforcement learning. CoRR Indranil Palit, Tushar Sharma
2024	A	`conf`	Greenlight: Highlighting TensorFlow APIs Energy Footprint. MSR Saurabhsingh Rajput, Maria Kechagia, Federica Sarro, Tushar Sharma
2024	—	`conf`	LLMs for Code: The Potential, Prospects, and Problems. ICSA-C Tushar Sharma
2024	A	`conf`	Multi-faceted Code Smell Detection at Scale using DesigniteJava 2.0. MSR Tushar Sharma
2024	—	`conf`	Naturalness of Attention: Revisiting Attention in Code Language Models. NIER@ICSE Mootez Saad, Tushar Sharma
2024	J	`jnl`	On Inter-dataset Code Duplication and Data Leakage in Large Language Models. CoRR José Antonio Hernández López, Boqi Chen, Tushar Sharma, Dániel Varró
2023	A	`conf`	Automatic Refactoring Candidate Identification Leveraging Effective Code Representation. ICSME Indranil Palit, Gautam Shetty, Hera Arif, Tushar Sharma
2023	C	`conf`	Calibrating Deep Learning-based Code Smell Detection using Human Feedback. SCAM Himesh Nandani, Mootez Saad, Tushar Sharma
2023	A	`conf`	DACOS - A Manually Annotated Dataset of Code Smells. MSR Himesh Nandani, Mootez Saad, Tushar Sharma
2023	J	`jnl`	DACOS-A Manually Annotated Dataset of Code Smells. CoRR Himesh Nandani, Mootez Saad, Tushar Sharma
2023	J	`jnl`	FECoM: A Step towards Fine-Grained Energy Measurement for Deep Learning. CoRR Saurabhsingh Rajput, Tim Widmayer, Ziyuan Shang, Maria Kechagia, Federica Sarro, Tushar Sharma
2023	J	`jnl`	Investigating developers' perception on software testability and its effects. Empir. Softw. Eng. Tushar Sharma, Stefanos Georgiou, Maria Kechagia, Taher Ahmed Ghaleb, Federica Sarro
2023	A	`conf`	Mining and Fusing Productivity Metrics with Code Quality Information at Scale. ICSME Harsh Mukeshkumar Shah, Qurram Zaheer Syed, Bharatwaaj Shankaranarayanan, Indranil Palit, Arshdeep Singh, Kavya Raval, Kishan Savaliya, Tushar Sharma
2023	J	`jnl`	Naturalness of Attention: Revisiting Attention in Code Language Models. CoRR Mootez Saad, Tushar Sharma
2022	A	`conf`	Empirical Standards for Repository Mining. MSR Preetha Chatterjee, Tushar Sharma, Paul Ralph
2022	J	`jnl`	Empirical Standards for Repository Mining. CoRR Preetha Chatterjee, Tushar Sharma, Paul Ralph
2022	A*	`conf`	Green AI: Do Deep Learning Frameworks Have Different Costs? ICSE Stefanos Georgiou, Maria Kechagia, Tushar Sharma, Federica Sarro, Ying Zou
2022	A	`conf`	Lessons from Research to Practice on Writing Better Quality Puppet Scripts. SANER Akond Rahman, Tushar Sharma
2022	—	`ed.`	TechDebt '22: International Conference on Technical Debt, Pittsburgh Pennsylvania, May 17-18, 2022 TechDebt@ICSE Neil A. Ernst, Valentina Lenarduzzi, Tushar Sharma
2022	J	`jnl`	X-SBR: On the Use of the History of Refactorings for Explainable Search-Based Refactoring and Intelligent Change Operators. IEEE Trans. Software Eng. Chaima Abid, Dhia Elhaq Rzig, Thiago do Nascimento Ferreira, Marouane Kessentini, Tushar Sharma
2021	J	`jnl`	A Survey on Machine Learning Techniques for Source Code Analysis. CoRR Tushar Sharma, Maria Kechagia, Stefanos Georgiou, Rohit Tiwari, Federica Sarro
2021	A	`conf`	Architecture Smells and Pareto Principle: A Preliminary Empirical Exploration. MSR Alexandra-Maria Chaniotaki, Tushar Sharma
2021	J	`jnl`	Code smell detection by deep direct-learning and transfer-learning. J. Syst. Softw. Tushar Sharma, Vasiliki Efstathiou, Panos Louridas, Diomidis Spinellis
2021	A	`conf`	QScored: A Large Dataset of Code Smells and Quality Metrics. MSR Tushar Sharma, Marouane Kessentini
2020	J	`jnl`	An empirical investigation on the relationship between design and architecture smells. Empir. Softw. Eng. Tushar Sharma, Paramvir Singh, Diomidis Spinellis
2020	J	`jnl`	Do We Need Improved Code Quality Metrics? CoRR Tushar Sharma, Diomidis Spinellis
2020	A	`conf`	QScored: An Open Platform for Code Quality Ranking and Visualization. ICSME Vishvajeet Thakur, Marouane Kessentini, Tushar Sharma
2020	C	`conf`	Understanding and Characterizing Changes in Bugs Priority: The Practitioners' Perceptive. SCAM Rafi Almhana, Thiago do Nascimento Ferreira, Marouane Kessentini, Tushar Sharma
2019	—	`conf`	How deep is the mud: fathoming architecture technical debt using designite. TechDebt@ICSE Tushar Sharma
2019	J	`jnl`	On the Feasibility of Transfer-learning Code Smells using Deep Learning. CoRR Tushar Sharma, Vasiliki Efstathiou, Panos Louridas, Diomidis Spinellis
2018	J	`jnl`	A survey on software smells. J. Syst. Softw. Tushar Sharma, Diomidis Spinellis
2018	—	`conf`	Detecting and managing code smells: research and practice. ICSE (Companion Volume) Tushar Sharma
2018	—	`conf`	Smelly relations: measuring and understanding database schema quality. ICSE (SEIP) Tushar Sharma, Marios Fragkoulis, Stamatia Rizou, Magiel Bruntink, Diomidis Spinellis
2017	A	`conf`	House of Cards: Code Smells in Open-Source C# Repositories. ESEM Tushar Sharma, Marios Fragkoulis, Diomidis Spinellis
2017	—	`conf`	Towards a context dependent Java exceptions hierarchy. ICSE (Companion Volume) Maria Kechagia, Tushar Sharma, Diomidis Spinellis
2016	C	`conf`	Augur: Incorporating Hidden Dependencies and Variable Granularity in Change Impact Analysis. SCAM Tushar Sharma, Girish Suryanarayana
2016	—	`conf`	Designite: a software design quality assessment tool. BRIDGE@ICSE Tushar Sharma, Pratibha Mishra, Rohit Tiwari
2016	A	`conf`	Does your configuration code smell? MSR Tushar Sharma, Marios Fragkoulis, Diomidis Spinellis
2016	—	`conf`	Refactoring for software architecture smells. IWoR@ASE Ganesh Samarthyam, Girish Suryanarayana, Tushar Sharma
2015	—	`conf`	Applying Design Principles in Practice. ISEC Tushar Sharma, Ganesh Samarthyam, Girish Suryanarayana
2015	J	`jnl`	Challenges to and Solutions for Refactoring Adoption: An Industrial Perspective. IEEE Softw. Tushar Sharma, Girish Suryanarayana, Ganesh Samarthyam
2015	J	`jnl`	Software Process versus Design Quality: Tug of War? IEEE Softw. Girish Suryanarayana, Tushar Sharma, Ganesh Samarthyam
2014	—	`conf`	ESA: the exclusive-similarity algorithm for identifying extract-class refactoring candidates automatically. ISEC Tushar Sharma, P. V. R. Murthy
2013	A*	`conf`	MIDAS: a design quality assessment method for industrial software. ICSE Ganesh Samarthyam, Girish Suryanarayana, Tushar Sharma, Shrinath Gupta
2013	J	`jnl`	Towards a Principle-based Classification of Structural Design Smells. J. Object Technol. S. G. Ganesh, Tushar Sharma, Girish Suryanarayana
2012	—	`conf`	Identifying extract-method refactoring candidates automatically. WRT@ICSE Tushar Sharma
2012	—	`conf`	Quantifying Quality of Software Design to Measure the Impact of Refactoring. COMPSAC Workshops Tushar Sharma
2011	B	`conf`	Quality Model Driven Dynamic Analysis. COMPSAC P. V. R. Murthy, Saravana Kumar V., Tushar Sharma, Kiron Rao
2010	J	`jnl`	Inferring design patterns using the ReP graph. J. Object Technol. Tushar Sharma, Dharanipragada Janakiram