1 citations · 2 across the 6 of their papers we have counts for
4 papers · 1 filter
Measuring the effectiveness of code review comments in GitHub repositories: A machine learning approach
Shadikur Rahman, Umme Ayman Koana, Hasibul Karim Shanto +3
This paper illustrates an empirical study of the working efficiency of machine learning techniques in classifying code review text by semantic meaning. The code review comments fro…
Examining Ownership Models in Software Teams: A Systematic Literature Review and a Replication Study
Umme Ayman Koana, Quang Hy Le, Shadikur Rahman +3
Effective ownership of software artifacts, particularly code, is crucial for accountability, knowledge sharing, and code quality enhancement. Researchers have proposed models linki…
Mining Reddit Data to Elicit Students' Requirements During COVID-19 Pandemic
Shadikur Rahman, Faiz Ahmed, Maleknaz Nayebi
Data-driven requirements engineering leverages the abundance of openly accessible and crowdsourced information on the web. By incorporating user feedback provided about a software…
Example Driven Code Review Explanation
Shadikur Rahman, Umme Ayman Koana, Maleknaz Nayebi
Background: Code reviewing is an essential part of software development to ensure software quality. However, the abundance of review tasks and the intensity of the workload for rev…