Seguir
Tushar Sharma
Tushar Sharma
Asst. professor, FCS, Dalhousie University
Dirección de correo verificada de dal.ca - Página principal
Título
Citado por
Citado por
Año
Refactoring for software design smells: managing technical debt
G Suryanarayana, G Samarthyam, T Sharma
Morgan Kaufmann, 2014
3692014
A survey on software smells
T Sharma, D Spinellis
Journal of Systems and Software 138, 158-173, 2018
2932018
Does your configuration code smell?
T Sharma, M Fragkoulis, D Spinellis
Proceedings of the 13th international conference on mining software …, 2016
1982016
Designite - A Software Design Quality Assessment Tool
T Sharma
https://doi.org/10.5281/zenodo.2566832, 2016
1352016
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
1072021
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
1052022
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
992021
An empirical investigation on the relationship between design and architecture smells
T Sharma, P Singh, D Spinellis
Empirical Software Engineering, 4020–4068, 2020
752020
Towards a Principle-based Classification of Structural Design Smells.
SG Ganesh, T Sharma, G Suryanarayana
J. Object Technol. 12 (2), 1:1-29, 2013
682013
Challenges to and solutions for refactoring adoption: An industrial perspective
T Sharma, G Suryanarayana, G Samarthyam
IEEE Software 32 (6), 44-51, 2015
522015
Refactoring for software architecture smells
G Samarthyam, G Suryanarayana, T Sharma
Proceedings of the 1st International Workshop on Software Refactoring, 1-4, 2016
492016
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
432018
On the Feasibility of Transfer-learning Code Smells using Deep Learning
T Sharma, V Efstathiou, P Louridas, D Spinellis
Arxiv, 2019
412019
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
382013
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
262023
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
252021
Software process versus design quality: Tug of war?
G Suryanarayana, T Sharma, G Samarthyam
IEEE Software 32 (04), 7-11, 2015
252015
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
232021
Identifying extract-method refactoring candidates automatically
T Sharma
Proceedings of the Fifth Workshop on Refactoring Tools, 50-53, 2012
232012
Do We Need Improved Code Quality Metrics?
T Sharma, D Spinellis
https://arxiv.org/abs/2012.12324, 2020
122020
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20