Tushar Sharma

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 33

Top Topics

Manually Annotated

Impact Analysis

Top Venues

J. Syst. Softw.

Publications

Mootez Saad, Tushar Sharma
Naturalness of Attention: Revisiting Attention in Code Language Models. NIER@ICSE (2024)
Tushar Sharma, Maria Kechagia, Stefanos Georgiou, Rohit Tiwari, Indira Vats, Hadi Moazen, Federica Sarro
A survey on machine learning techniques applied to source code. J. Syst. Softw. 209 (2024)
Saurabhsingh Rajput, Maria Kechagia, Federica Sarro, Tushar Sharma
Greenlight: Highlighting TensorFlow APIs Energy Footprint. MSR (2024)
Mootez Saad, José Antonio Hernández López, Boqi Chen, Dániel Varró, Tushar Sharma
ALPINE: An adaptive language-agnostic pruning method for language models for code. CoRR (2024)
Tushar Sharma
Multi-faceted Code Smell Detection at Scale using DesigniteJava 2.0. MSR (2024)
Abhinav Reddy Mandli, Saurabhsingh Rajput, Tushar Sharma
COMET: Generating Commit Messages using Delta Graph Context Representation. CoRR (2024)
Mootez Saad, Tushar Sharma
CONCORD: Towards a DSL for Configurable Graph Code Representation. CoRR (2024)
Tushar Sharma, Stefanos Georgiou, Maria Kechagia, Taher A. Ghaleb, Federica Sarro
Investigating developers' perception on software testability and its effects. Empir. Softw. Eng. 28 (5) (2023)
Himesh Nandani, Mootez Saad, Tushar Sharma
DACOS - A Manually Annotated Dataset of Code Smells. MSR (2023)
Saurabhsingh Rajput, Tim Widmayer, Ziyuan Shang, Maria Kechagia, Federica Sarro, Tushar Sharma
FECoM: A Step towards Fine-Grained Energy Measurement for Deep Learning. CoRR (2023)
Himesh Nandani, Mootez Saad, Tushar Sharma
Calibrating Deep Learning-based Code Smell Detection using Human Feedback. SCAM (2023)
Mootez Saad, Tushar Sharma
Naturalness of Attention: Revisiting Attention in Code Language Models. CoRR (2023)
Stefanos Georgiou, Maria Kechagia, Tushar Sharma, Federica Sarro, Ying Zou
Green AI: Do Deep Learning Frameworks Have Different Costs? ICSE (2022)
Chaima Abid, Dhia Elhaq Rzig, Thiago do Nascimento Ferreira, Marouane Kessentini, Tushar Sharma
X-SBR: On the Use of the History of Refactorings for Explainable Search-Based Refactoring and Intelligent Change Operators. IEEE Trans. Software Eng. 48 (10) (2022)
Tushar Sharma, Vasiliki Efstathiou, Panos Louridas, Diomidis Spinellis
Code smell detection by deep direct-learning and transfer-learning. J. Syst. Softw. 176 (2021)
Tushar Sharma, Maria Kechagia, Stefanos Georgiou, Rohit Tiwari, Federica Sarro
A Survey on Machine Learning Techniques for Source Code Analysis. CoRR (2021)
Alexandra-Maria Chaniotaki, Tushar Sharma
Architecture Smells and Pareto Principle: A Preliminary Empirical Exploration. MSR (2021)
Tushar Sharma, Marouane Kessentini
QScored: A Large Dataset of Code Smells and Quality Metrics. MSR (2021)
Rafi Almhana, Thiago do Nascimento Ferreira, Marouane Kessentini, Tushar Sharma
Understanding and Characterizing Changes in Bugs Priority: The Practitioners' Perceptive. SCAM (2020)
Vishvajeet Thakur, Marouane Kessentini, Tushar Sharma
QScored: An Open Platform for Code Quality Ranking and Visualization. ICSME (2020)
Tushar Sharma, Diomidis Spinellis
Do We Need Improved Code Quality Metrics? CoRR (2020)
Tushar Sharma, Paramvir Singh, Diomidis Spinellis
An empirical investigation on the relationship between design and architecture smells. Empir. Softw. Eng. 25 (5) (2020)
Tushar Sharma, Vasiliki Efstathiou, Panos Louridas, Diomidis Spinellis
On the Feasibility of Transfer-learning Code Smells using Deep Learning. CoRR (2019)
Tushar Sharma
How deep is the mud: fathoming architecture technical debt using designite. TechDebt@ICSE (2019)
Tushar Sharma, Marios Fragkoulis, Stamatia Rizou, Magiel Bruntink, Diomidis Spinellis
Smelly relations: measuring and understanding database schema quality. ICSE (SEIP) (2018)
Tushar Sharma, Diomidis Spinellis
A survey on software smells. J. Syst. Softw. 138 (2018)
Tushar Sharma
Detecting and managing code smells: research and practice. ICSE (Companion Volume) (2018)
Tushar Sharma, Marios Fragkoulis, Diomidis Spinellis
House of Cards: Code Smells in Open-Source C# Repositories. ESEM (2017)
Maria Kechagia, Tushar Sharma, Diomidis Spinellis
Towards a context dependent Java exceptions hierarchy. ICSE (Companion Volume) (2017)
Tushar Sharma, Pratibha Mishra, Rohit Tiwari
Designite: a software design quality assessment tool. BRIDGE@ICSE (2016)
Ganesh Samarthyam, Girish Suryanarayana, Tushar Sharma
Refactoring for software architecture smells. IWoR@ASE (2016)
Tushar Sharma, Girish Suryanarayana
Augur: Incorporating Hidden Dependencies and Variable Granularity in Change Impact Analysis. SCAM (2016)
Tushar Sharma, Marios Fragkoulis, Diomidis Spinellis
Does your configuration code smell? MSR (2016)
Girish Suryanarayana, Tushar Sharma, Ganesh Samarthyam
Software Process versus Design Quality: Tug of War? IEEE Softw. 32 (4) (2015)
Tushar Sharma, Girish Suryanarayana, Ganesh Samarthyam
Challenges to and Solutions for Refactoring Adoption: An Industrial Perspective. IEEE Softw. 32 (6) (2015)
Tushar Sharma, Ganesh Samarthyam, Girish Suryanarayana
Applying Design Principles in Practice. ISEC (2015)
Tushar Sharma, P. V. R. Murthy
ESA: the exclusive-similarity algorithm for identifying extract-class refactoring candidates automatically. ISEC (2014)
S. G. Ganesh, Tushar Sharma, Girish Suryanarayana
Towards a Principle-based Classification of Structural Design Smells. J. Object Technol. 12 (2) (2013)
Ganesh Samarthyam, Girish Suryanarayana, Tushar Sharma, Shrinath Gupta
MIDAS: a design quality assessment method for industrial software. ICSE (2013)
Tushar Sharma
Identifying extract-method refactoring candidates automatically. WRT@ICSE (2012)
P. V. R. Murthy, Saravana Kumar V., Tushar Sharma, Kiron Rao
Quality Model Driven Dynamic Analysis. COMPSAC (2011)