1 citations · 2 across the 6 of their papers we have counts for
6 papers
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…
Estimating the Effective Topics of Articles and journals Abstract Using LDA And K-Means Clustering Algorithm
Shadikur Rahman, Umme Ayman Koana, Aras M. Ismael +1
Analyzing journals and articles abstract text or documents using topic modelling and text clustering has become a modern solution for the increasing number of text documents. Topic…
Multi-Armed Bandits-Based Optimization of Decision Trees
Hasibul Karim Shanto, Umme Ayman Koana, Shadikur Rahman
Decision trees, without appropriate constraints, can easily become overly complex and prone to overfit, capturing noise rather than generalizable patterns. To resolve this problem,…
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…