activity
20222026
most citedMeasuring the effectiveness of code review comments in GitHub repositories: A machine learning approach

1 citations · 2 across the 8 of their papers we have counts for

collaborators

8 papers

cs.SE2026

Pseudo2CodeQA: A Benchmark for LLM-Based Structured Algorithmic Reasoning in Code Generation

Shadikur Rahman, Umme Ayman Koana, Syed Muhammad Danish

Large Language Models (LLMs) have achieved impressive performance in natural language-to-code generation; however, their ability to follow structured algorithmic reasoning remains…

cs.IR2025

Automated Research Article Classification and Recommendation Using NLP and ML

Shadikur Rahman, Hasibul Karim Shanto, Umme Ayman Koana +1

In the digital era, the exponential growth of scientific publications has made it increasingly difficult for researchers to efficiently identify and access relevant work. This pape…

cs.SE2025★ 1 cited

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…

cs.IR2025★ 1 cited

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…

cs.LG2025

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,…

cs.SE2024

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…

cs.SE2023

Ownership in the Hands of Accountability at Brightsquid -- A Case Study and a Developer Survey

Umme Ayman Koana, Francis Chew, Chris Carlson +1

The COVID-19 pandemic has accelerated the adoption of digital health solutions. This has presented significant challenges for software development teams to swiftly adjust to the ma…

cs.SE2022

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…