48 citations · 300 across the 24 of their papers we have counts for
9 papers · 1 filter
A Comparative Study of Different Source Code Metrics and Machine Learning Algorithms for Predicting Change Proneness of Object Oriented Systems
Lov Kumar, Ashish Sureka
Change-prone classes or modules are defined as software components in the source code which are likely to change in the future. Change-proneness prediction is useful to the mainten…
Using Source Code Metrics and Ensemble Methods for Fault Proneness Prediction
Lov Kumar, Santanu Rath, Ashish Sureka
Software fault prediction model are employed to optimize testing resource allocation by identifying fault-prone classes before testing phases. Several researchers' have validated t…
Parichayana: An Eclipse Plugin for Detecting Exception Handling Anti-Patterns and Code Smells in Java Programs
Ashish Sureka
Anti-patterns and code-smells are signs in the source code which are not defects (does not prevent the program from functioning and does not cause compile errors) and are rather in…
A Bibliometric Study of Asia Pacific Software Engineering Conference from 2010 to 2015
Lov Kumar, Saikrishna Sripada, Ashish Sureka
The Asia-Pacific Software Engineering Conference (APSEC) is a reputed and a long-running conference which has successfully completed more than two decades as of year 2015. We condu…
Thirteen Years of Mining Software Repositories (MSR) Conference - What is the Bibliography Data Telling Us?
Lov Kumar, Ashish Sureka
The Mining Software Repositories (MSR) conference is a reputed, long-running and flagship conference in the area of Software Analytics which has successfully completed more than on…
Anvaya: An Algorithm and Case-Study on Improving the Goodness of Software Process Models generated by Mining Event-Log Data in Issue Tracking System
Prerna Juneja, Divya Kundra, Ashish Sureka
Issue Tracking Systems (ITS) such as Bugzilla can be viewed as Process Aware Information Systems (PAIS) generating event-logs during the life-cycle of a bug report. Process Mining…