11 citations · 22 across the 4 of their papers we have counts for
4 papers
DACOS-A Manually Annotated Dataset of Code Smells
Himesh Nandani, Mootez Saad, Tushar Sharma
Researchers apply machine-learning techniques for code smell detection to counter the subjectivity of many code smells. Such approaches need a large, manually annotated dataset for…
Empirical Standards for Repository Mining
Preetha Chatterjee, Tushar Sharma, Paul Ralph
The purpose of scholarly peer review is to evaluate the quality of scientific manuscripts. However, study after study demonstrates that peer review neither effectively nor reliably…
A Survey on Machine Learning Techniques for Source Code Analysis
Tushar Sharma, Maria Kechagia, Stefanos Georgiou +4
The advancements in machine learning techniques have encouraged researchers to apply these techniques to a myriad of software engineering tasks that use source code analysis, such…
Do We Need Improved Code Quality Metrics?
Tushar Sharma, Diomidis Spinellis
The software development community has been using code quality metrics for the last five decades. Despite their wide adoption, code quality metrics have attracted a fair share of c…