Tushar Sharma

According to our database, Tushar Sharma authored at least 57 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Enhancing Energy-Awareness in Deep Learning through Fine-Grained Energy Measurement.

Saurabhsingh Rajput, Tim Widmayer, Ziyuan Shang, Maria Kechagia, Federica Sarro, Tushar Sharma

ACM Trans. Softw. Eng. Methodol., November, 2024

A survey on machine learning techniques applied to source code.

Tushar Sharma, Maria Kechagia, Stefanos Georgiou, Rohit Tiwari, Indira Vats, Hadi Moazen, Federica Sarro

J. Syst. Softw., March, 2024

Generating refactored code accurately using reinforcement learning.

Indranil Palit, Tushar Sharma

CoRR, 2024

ALPINE: An adaptive language-agnostic pruning method for language models for code.

Mootez Saad, José Antonio Hernández López, Boqi Chen, Dániel Varró, Tushar Sharma

CoRR, 2024

COMET: Generating Commit Messages using Delta Graph Context Representation.

Abhinav Reddy Mandli, Saurabhsingh Rajput, Tushar Sharma

CoRR, 2024

CONCORD: Towards a DSL for Configurable Graph Code Representation.

Mootez Saad, Tushar Sharma

CoRR, 2024

On Inter-dataset Code Duplication and Data Leakage in Large Language Models.

José Antonio Hernández López, Boqi Chen, Tushar Sharma, Dániel Varró

CoRR, 2024

Enhancing Identifier Naming Through Multi-Mask Fine-Tuning of Language Models of Code.

Sanidhya Vijayvargiya, Mootez Saad, Tushar Sharma

Proceedings of the IEEE International Conference on Source Code Analysis and Manipulation, 2024

Multi-faceted Code Smell Detection at Scale using DesigniteJava 2.0.

Tushar Sharma

Proceedings of the 21st IEEE/ACM International Conference on Mining Software Repositories, 2024

Greenlight: Highlighting TensorFlow APIs Energy Footprint.

Saurabhsingh Rajput, Maria Kechagia, Federica Sarro, Tushar Sharma

Proceedings of the 21st IEEE/ACM International Conference on Mining Software Repositories, 2024

Broken Windows: Exploring the Applicability of a Controversial Theory on Code Quality.

Diomidis Spinellis, Panos Louridas, Maria Kechagia, Tushar Sharma

Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2024

Naturalness of Attention: Revisiting Attention in Code Language Models.

Mootez Saad, Tushar Sharma

Proceedings of the 2024 ACM/IEEE 44th International Conference on Software Engineering: New Ideas and Emerging Results, 2024

LLMs for Code: The Potential, Prospects, and Problems.

Tushar Sharma

Proceedings of the 21st IEEE International Conference on Software Architecture, 2024

Benchmarking Emerging Deep Learning Quantization Methods for Energy Efficiency.

Saurabhsingh Rajput, Tushar Sharma

Proceedings of the 21st IEEE International Conference on Software Architecture, 2024

Exploring Influence of Feature Toggles on Code Complexity.

Tajmilur Rahman, Imran Shalabi, Tushar Sharma

Proceedings of the 28th International Conference on Evaluation and Assessment in Software Engineering, 2024

2023

On Inter-dataset Code Duplication and Data Leakage in Large Language Models.

José Antonio Hernández López, Boqi Chen, Mootez Saad, Tushar Sharma, Dániel Varró

Dataset, December, 2023

Investigating developers' perception on software testability and its effects.

Tushar Sharma, Stefanos Georgiou, Maria Kechagia, Taher Ahmed Ghaleb, Federica Sarro

Empir. Softw. Eng., October, 2023

FECoM: A Step towards Fine-Grained Energy Measurement for Deep Learning.

Saurabhsingh Rajput, Tim Widmayer, Ziyuan Shang, Maria Kechagia, Federica Sarro, Tushar Sharma

CoRR, 2023

Calibrating Deep Learning-based Code Smell Detection using Human Feedback.

Himesh Nandani, Mootez Saad, Tushar Sharma

Proceedings of the 23rd IEEE International Working Conference on Source Code Analysis and Manipulation, 2023

DACOS - A Manually Annotated Dataset of Code Smells.

Himesh Nandani, Mootez Saad, Tushar Sharma

Proceedings of the 20th IEEE/ACM International Conference on Mining Software Repositories, 2023

Mining and Fusing Productivity Metrics with Code Quality Information at Scale.

Harsh Mukeshkumar Shah, Qurram Zaheer Syed, Bharatwaaj Shankaranarayanan, Indranil Palit, Arshdeep Singh, Kavya Raval, Kishan Savaliya, Tushar Sharma

Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2023

Automatic Refactoring Candidate Identification Leveraging Effective Code Representation.

Indranil Palit, Gautam Shetty, Hera Arif, Tushar Sharma

Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2023

2022

X-SBR: On the Use of the History of Refactorings for Explainable Search-Based Refactoring and Intelligent Change Operators.

Chaima Abid, Dhia Elhaq Rzig, Thiago do Nascimento Ferreira, Marouane Kessentini, Tushar Sharma

IEEE Trans. Software Eng., 2022

Lessons from Research to Practice on Writing Better Quality Puppet Scripts.

Akond Rahman, Tushar Sharma

Proceedings of the IEEE International Conference on Software Analysis, 2022

Empirical Standards for Repository Mining.

Preetha Chatterjee, Tushar Sharma, Paul Ralph

Proceedings of the 19th IEEE/ACM International Conference on Mining Software Repositories, 2022

Green AI: Do Deep Learning Frameworks Have Different Costs?

Stefanos Georgiou, Maria Kechagia, Tushar Sharma, Federica Sarro, Ying Zou

Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

2021

Code smell detection by deep direct-learning and transfer-learning.

Tushar Sharma, Vasiliki Efstathiou, Panos Louridas, Diomidis Spinellis

J. Syst. Softw., 2021

A Survey on Machine Learning Techniques for Source Code Analysis.

Tushar Sharma, Maria Kechagia, Stefanos Georgiou, Rohit Tiwari, Federica Sarro

CoRR, 2021

QScored: A Large Dataset of Code Smells and Quality Metrics.

Tushar Sharma, Marouane Kessentini

Proceedings of the 18th IEEE/ACM International Conference on Mining Software Repositories, 2021

Architecture Smells and Pareto Principle: A Preliminary Empirical Exploration.

Alexandra-Maria Chaniotaki, Tushar Sharma

Proceedings of the 18th IEEE/ACM International Conference on Mining Software Repositories, 2021

2020

Smelling smells using Deep Learning.

Tushar Sharma, Vasiliki Efstathiou, Panos Louridas, Diomidis Spinellis

Dataset, July, 2020

An empirical investigation on the relationship between design and architecture smells.

Tushar Sharma, Paramvir Singh, Diomidis Spinellis

Empir. Softw. Eng., 2020

Do We Need Improved Code Quality Metrics?

Tushar Sharma, Diomidis Spinellis

CoRR, 2020

Understanding and Characterizing Changes in Bugs Priority: The Practitioners' Perceptive.

Rafi Almhana, Thiago do Nascimento Ferreira, Marouane Kessentini, Tushar Sharma

Proceedings of the 20th IEEE International Working Conference on Source Code Analysis and Manipulation, 2020

QScored: An Open Platform for Code Quality Ranking and Visualization.

Vishvajeet Thakur, Marouane Kessentini, Tushar Sharma

Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2020

2019

On the Feasibility of Transfer-learning Code Smells using Deep Learning.

Tushar Sharma, Vasiliki Efstathiou, Panos Louridas, Diomidis Spinellis

CoRR, 2019

How deep is the mud: fathoming architecture technical debt using designite.

Tushar Sharma

Proceedings of the Second International Conference on Technical Debt, 2019

2018

A survey on software smells.

Tushar Sharma, Diomidis Spinellis

J. Syst. Softw., 2018

Smelly relations: measuring and understanding database schema quality.

Tushar Sharma, Marios Fragkoulis, Stamatia Rizou, Magiel Bruntink, Diomidis Spinellis

Proceedings of the 40th International Conference on Software Engineering: Software Engineering in Practice, 2018

Detecting and managing code smells: research and practice.

Tushar Sharma

Proceedings of the 40th International Conference on Software Engineering: Companion Proceeedings, 2018

2017

Selected Resources for a Literature Survey on Software Smells.

Tushar Sharma, Diomidis Spinellis

Dataset, November, 2017

Towards a context dependent Java exceptions hierarchy.

Maria Kechagia, Tushar Sharma, Diomidis Spinellis

Proceedings of the 39th International Conference on Software Engineering, 2017

House of Cards: Code Smells in Open-Source C# Repositories.

Tushar Sharma, Marios Fragkoulis, Diomidis Spinellis

Proceedings of the 2017 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, 2017

2016

Augur: Incorporating Hidden Dependencies and Variable Granularity in Change Impact Analysis.

Tushar Sharma, Girish Suryanarayana

Proceedings of the 16th IEEE International Working Conference on Source Code Analysis and Manipulation, 2016

Does your configuration code smell?

Tushar Sharma, Marios Fragkoulis, Diomidis Spinellis

Proceedings of the 13th International Conference on Mining Software Repositories, 2016

Refactoring for software architecture smells.

Ganesh Samarthyam, Girish Suryanarayana, Tushar Sharma

Proceedings of the 1st International Workshop on Software Refactoring, 2016

Designite: a software design quality assessment tool.

Tushar Sharma, Pratibha Mishra, Rohit Tiwari

Proceedings of the 1st International Workshop on Bringing Architectural Design Thinking into Developers' Daily Activities, 2016

2015

Software Process versus Design Quality: Tug of War?

Girish Suryanarayana, Tushar Sharma, Ganesh Samarthyam

IEEE Softw., 2015

Challenges to and Solutions for Refactoring Adoption: An Industrial Perspective.

Tushar Sharma, Girish Suryanarayana, Ganesh Samarthyam

IEEE Softw., 2015

Applying Design Principles in Practice.

Tushar Sharma, Ganesh Samarthyam, Girish Suryanarayana

Proceedings of the 8th India Software Engineering Conference, 2015

2014

ESA: the exclusive-similarity algorithm for identifying extract-class refactoring candidates automatically.

Tushar Sharma, P. V. R. Murthy

Proceedings of the 7th India Software Engineering Conference, Chennai, 2014

2013

Towards a Principle-based Classification of Structural Design Smells.

S. G. Ganesh, Tushar Sharma, Girish Suryanarayana

J. Object Technol., 2013

MIDAS: a design quality assessment method for industrial software.

Ganesh Samarthyam, Girish Suryanarayana, Tushar Sharma, Shrinath Gupta

Proceedings of the 35th International Conference on Software Engineering, 2013

2012

Identifying extract-method refactoring candidates automatically.

Tushar Sharma

Proceedings of the Fifth Workshop on Refactoring Tools 2012, 2012

Quantifying Quality of Software Design to Measure the Impact of Refactoring.

Tushar Sharma

Proceedings of the 36th Annual IEEE Computer Software and Applications Conference Workshops, 2012

2011

Quality Model Driven Dynamic Analysis.

P. V. R. Murthy, Saravana Kumar V., Tushar Sharma, Kiron Rao

Proceedings of the 35th Annual IEEE International Computer Software and Applications Conference, 2011

2010

Inferring design patterns using the ReP graph.

Tushar Sharma, Dharanipragada Janakiram

J. Object Technol., 2010