Tushar Sharma

Cited by

	All	Since 2020
Citations	1985	1572
h-index	19	16
i10-index	24	22

440

220

110

330

20142015201620172018201920202021202220232024202514 28 43 57 108 131 199 233 255 362 433 88

Public access

View all

10 articles

0 articles

available

not available

Based on funding mandates

Co-authors

Diomidis SpinellisProfessor, AUEB and TU DelftVerified email at aueb.gr
Ganesh SamarthyamCodeOps Technologies LLPVerified email at codeops.tech
Federica SarroProfessor, University College LondonVerified email at ucl.ac.uk
Maria KechagiaAssistant Professor, National and Kapodistrian University of AthensVerified email at ba.uoa.gr
Rohit TiwariVerified email at devon.nl
Stefanos GeorgiouPostDoctoral Fellow, Queen's UniversityVerified email at queensu.ca
Marios FragkoulisGRNETVerified email at grnet.gr
Marouane KessentiniFull Professor, Oakland UniversityVerified email at oakland.edu
Indira VatsUniversity of TorontoVerified email at cs.toronto.edu
Mootez SaadPh.D Student, Dalhousie UniversityVerified email at dal.ca
Saurabhsingh RajputPhD. StudentVerified email at dal.ca
Ying ZouProfessor, Canada Research Chair (Tier 1) in Software Evolution, Electrical and Computer EngineeringVerified email at queensu.ca
Paramvir SinghUniversity of AucklandVerified email at auckland.ac.nz
Murthy PVRDepartment of CSE, Ramaiah University of applied SciencesVerified email at msruas.ac.in
Indranil PalitDalhousie UniversityVerified email at dal.ca
Magiel BruntinkTNOVerified email at tno.nl
Stamatia RizouResearcher, Singular Logic S.A.Verified email at singularlogic.eu
Thiago FerreiraAssistant Professor at University of Michigan-FlintVerified email at umich.edu
Christopher McCombGerard G. Elia Associate Professor of Mechanical Engineering, Carnegie Mellon UniversityVerified email at cmu.edu
Akash AgrawalCarnegie Mellon UniversityVerified email at andrew.cmu.edu

Tushar Sharma

Asst. professor, FCS, Dalhousie University

Verified email at dal.ca - Homepage

Software engineering Machine learning for software engineering Green AI


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Refactoring for software design smells: managing technical debt G Suryanarayana, G Samarthyam, T Sharma Morgan Kaufmann, 2014	367	2014
A survey on software smells T Sharma, D Spinellis Journal of Systems and Software 138, 158-173, 2018	294	2018
Does your configuration code smell? T Sharma, M Fragkoulis, D Spinellis Proceedings of the 13th international conference on mining software …, 2016	197	2016
Designite - A Software Design Quality Assessment Tool T Sharma https://doi.org/10.5281/zenodo.2566832, 2016	138	2016
Code smell detection by deep direct-learning and transfer-learning T Sharma, V Efstathiou, P Louridas, D Spinellis Journal of Systems and Software 176, 110936, 2021	109	2021
Green AI: Do Deep Learning Frameworks Have Different Costs? S Georgiou, M Kechagia, T Sharma, F Sarro, Y Zou International Conference on Software Engineering (ICSE), 2022	107	2022
A Survey on Machine Learning Techniques for Source Code Analysis T Sharma, M Kechagia, S Georgiou, R Tiwari, F Sarro https://arxiv.org/abs/2110.09610, 2021	96	2021
An empirical investigation on the relationship between design and architecture smells T Sharma, P Singh, D Spinellis Empirical Software Engineering, 4020–4068, 2020	74	2020
Towards a Principle-based Classification of Structural Design Smells. SG Ganesh, T Sharma, G Suryanarayana J. Object Technol. 12 (2), 1:1-29, 2013	71	2013
Challenges to and solutions for refactoring adoption: An industrial perspective T Sharma, G Suryanarayana, G Samarthyam IEEE Software 32 (6), 44-51, 2015	51	2015
Refactoring for software architecture smells G Samarthyam, G Suryanarayana, T Sharma Proceedings of the 1st International Workshop on Software Refactoring, 1-4, 2016	48	2016
Smelly Relations: Measuring and Understanding Database Schema Quality T Sharma, M Fragkoulis, S Rizou, M Bruntink, D Spinellis 40th International Conference on Software Engineering: Software Engineering …, 2018	43	2018
On the Feasibility of Transfer-learning Code Smells using Deep Learning T Sharma, V Efstathiou, P Louridas, D Spinellis Arxiv, 2019	41	2019
Midas: A design quality assessment method for industrial software G Samarthyam, G Suryanarayana, T Sharma, S Gupta 2013 35th international conference on software engineering (ICSE), 911-920, 2013	38	2013
A survey on machine learning techniques applied to source code T Sharma, M Kechagia, S Georgiou, R Tiwari, I Vats, H Moazen, F Sarro Journal of Systems and Software 209, 111934, 2023	31	2023
A Multi-Agent Reinforcement Learning Framework for Intelligent Manufacturing with Autonomous Mobile Robots AR Agrawal, SJ Won, M Deshpande, T Sharma, CC McComb omb, "A Multi-Agent Reinforcement Learning Framework for Intelligent …, 2021	26	2021
Software process versus design quality: Tug of war? G Suryanarayana, T Sharma, G Samarthyam IEEE Software 32 (04), 7-11, 2015	26	2015
Qscored: A large dataset of code smells and quality metrics T Sharma, M Kessentini 2021 IEEE/ACM 18th international conference on mining software repositories …, 2021	25	2021
Identifying extract-method refactoring candidates automatically T Sharma Proceedings of the Fifth Workshop on Refactoring Tools, 50-53, 2012	24	2012
Architecture smells and pareto principle: a preliminary empirical exploration AM Chaniotaki, T Sharma 2021 IEEE/ACM 18th International Conference on Mining Software Repositories …, 2021	12	2021

The system can't perform the operation now. Try again later.

Articles 1–20

Citations per year

Duplicate citations

Merged citations

Add co-authorsCo-authors

Follow

Cited by

Co-authors