Shaiful Alam Chowdhury

According to our database, Shaiful Alam Chowdhury authored at least 46 papers between 2012 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Applications and Challenges of Fairness APIs in Machine Learning Software.

Ajoy Das, Gias Uddin, Shaiful Alam Chowdhury, Mostafijur Rahman Akhond, Hadi Hemmati

ACM Trans. Softw. Eng. Methodol., June, 2026

Exploring challenges in test mocking: Developer questions and insights from StackOverflow.

Mumtahina Ahmed, Md. Nahidul Islam Opu, Chanchal Roy, Sujana Islam Suhi, Shaiful Alam Chowdhury

J. Syst. Softw., 2026

2025

How Do Agentic AI Systems Deal With Software Energy Concerns? A Pull Request-Based Study.

Tanjum Motin Mitul, Md. Masud Mazumder, Md. Nahidul Islam Opu, Shaiful Alam Chowdhury

CoRR, December, 2025

How Do Agentic AI Systems Address Performance Optimizations? A BERTopic-Based Analysis of Pull Requests.

Md. Nahidul Islam Opu, Shahidul Islam, Muhammad Asaduzzaman, Shaiful Alam Chowdhury

CoRR, December, 2025

The Repeat Offenders: Characterizing and Predicting Extremely Bug-Prone Source Methods.

Ethan Friesen, Sasha Morton-Salmon, Md. Nahidul Islam Opu, Shahidul Islam, Shaiful Alam Chowdhury

CoRR, November, 2025

A First Look at the Self-Admitted Technical Debt in Test Code: Taxonomy and Detection.

Shahidul Islam, Md. Nahidul Islam Opu, Shaowei Wang, Shaiful Alam Chowdhury

CoRR, October, 2025

The Good, the Bad, and the Monstrous: Predicting Highly Change-Prone Source Code Methods at Their Inception.

Shaiful Alam Chowdhury

ACM Trans. Softw. Eng. Methodol., September, 2025

HistoryFinder: Advancing Method-Level Source Code History Generation with Accurate Oracles and Enhanced Algorithm.

Shahidul Islam, Ashik Aowal, Md. Sharif Uddin, Shaiful Alam Chowdhury

CoRR, July, 2025

Can Internal Software Metrics Predict App Popularity at Launch? Yeas! and Nays!

Md. Nahidul Islam Opu, Fatima Islam Mouri, Rick Kazman, Yuanfang Cai, Shaiful Alam Chowdhury

CoRR, July, 2025

Understanding the Issue Types in Open Source Blockchain-based Software Projects with the Transformer-based BERTopic.

Md. Nahidul Islam Opu, Md Shahidul Islam, Sara Rouhani, Shaiful Alam Chowdhury

CoRR, June, 2025

LLM-Based Detection of Tangled Code Changes for Higher-Quality Method-Level Bug Datasets.

Md. Nahidul Islam Opu, Shaowei Wang, Shaiful Alam Chowdhury

CoRR, May, 2025

A systematic mapping study of crowd knowledge enhanced software engineering research using Stack Overflow.

Minaoar Hossain Tanzil, Shaiful Alam Chowdhury, Somayeh Modaberi, Gias Uddin, Hadi Hemmati

J. Syst. Softw., 2025

Impact of methodological choices on the analysis of code metrics and maintenance.

Syed Ishtiaque Ahmad, Shaiful Alam Chowdhury, Reid Holmes

J. Syst. Softw., 2025

Evaluating the Effectiveness and Efficiency of Demonstration Retrievers in RAG for Coding Tasks.

Pengfei He, Shaowei Wang, Shaiful Alam Chowdhury, Tse-Hsun Chen

Proceedings of the IEEE International Conference on Software Analysis, 2025

Dependency Dilemmas: A Comparative Study of Independent and Dependent Artifacts in Maven Central Ecosystem.

Mehedi Hasan Shanto, Muhammad Asaduzzaman, Manishankar Mondal, Shaiful Alam Chowdhury

Proceedings of the 22nd IEEE/ACM International Conference on Mining Software Repositories, 2025

Evidence is All We Need: Do Self-Admitted Technical Debts Impact Method-Level Maintenance?

Shaiful Alam Chowdhury, Hisham Kidwai, Muhammad Asaduzzaman

Proceedings of the 22nd IEEE/ACM International Conference on Mining Software Repositories, 2025

2024

Method-level Bug Prediction: Problems and Promises.

Shaiful Alam Chowdhury, Gias Uddin, Hadi Hemmati, Reid Holmes

ACM Trans. Softw. Eng. Methodol., May, 2024

An empirical study on bug severity estimation using source code metrics and static analysis.

Ehsan Mashhadi, Shaiful Alam Chowdhury, Somayeh Modaberi, Hadi Hemmati, Gias Uddin

J. Syst. Softw., 2024

Exploring Demonstration Retrievers in RAG for Coding Tasks: Yeas and Nays!

Pengfei He, Shaowei Wang, Shaiful Alam Chowdhury, Tse-Hsun Chen

CoRR, 2024

Robotics Meets Software Engineering: A First Look at the Robotics Discussions on Stackoverflow.

Hisham Kidwai, Danika Passler Bates, Sujana Islam Suhi, James Young, Shaiful Alam Chowdhury

CoRR, 2024

The Good, the Bad, and the Ugly: Predicting Highly Change-Prone Source Code Methods at Their Inception.

Shaiful Alam Chowdhury

CoRR, 2024

Versioned Analysis of Software Quality Indicators and Self-admitted Technical Debt in Ethereum Smart Contracts with Ethstractor.

Khalid Hassan, Saeed Moradi, Shaiful Alam Chowdhury, Sara Rouhani

Proceedings of the IEEE International Conference on Blockchain, 2024

2022

Revisiting the debate: Are code metrics useful for measuring maintenance effort?

Shaiful Alam Chowdhury, Reid Holmes, Andy Zaidman, Rick Kazman

Empir. Softw. Eng., 2022

An Empirical Study on Maintainable Method Size in Java.

Shaiful Alam Chowdhury, Gias Uddin, Reid Holmes

Proceedings of the 19th IEEE/ACM International Conference on Mining Software Repositories, 2022

2021

CodeShovel: A Reusable and Available Tool for Extracting Source Code Histories.

Felix Grund, Shaiful Alam Chowdhury, Nick C. Bradley, Braxton Hall, Reid Holmes

Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering: Companion Proceedings, 2021

CodeShovel: Constructing Method-Level Source Code Histories.

Felix Grund, Shaiful Alam Chowdhury, Nick C. Bradley, Braxton Hall, Reid Holmes

Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering, 2021

2019

GreenScaler: training software energy models with automatic test generation.

Shaiful Alam Chowdhury, Stephanie Borle, Stephen Romansky, Abram Hindle

Empir. Softw. Eng., 2019

What do developers know about machine learning: a study of ML discussions on StackOverflow.

Abdul Ali Bangash, Hareem Sahar, Shaiful Alam Chowdhury, Alexander William Wong, Abram Hindle, Karim Ali

Proceedings of the 16th International Conference on Mining Software Repositories, 2019

Syntax and Stack Overflow: A Methodology for Extracting a Corpus of Syntax Errors and Fixes.

Alexander William Wong, Amir Salimi, Shaiful Alam Chowdhury, Abram Hindle

Proceedings of the 2019 IEEE International Conference on Software Maintenance and Evolution, 2019

GreenBundle: an empirical study on the energy impact of bundled processing.

Shaiful Alam Chowdhury, Abram Hindle, Rick Kazman, Takumi Shuto, Ken Matsui, Yasutaka Kamei

Proceedings of the 41st International Conference on Software Engineering, 2019

2018

An exploratory study on assessing the energy impact of logging on Android applications.

Shaiful Alam Chowdhury, Silvia Di Nardo, Abram Hindle, Zhen Ming (Jack) Jiang

Empir. Softw. Eng., 2018

2017

Did I make a mistake? Finding the impact of code change on energy regression.

Shaiful Alam Chowdhury, Stephanie Gil, Stephen Romansky, Abram Hindle

PeerJ Prepr., 2017

Deep Green: Modelling Time-Series of Software Energy Consumption.

Stephen Romansky, Neil C. Borle, Shaiful Alam Chowdhury, Abram Hindle, Russell Greiner

Proceedings of the 2017 IEEE International Conference on Software Maintenance and Evolution, 2017

2016

GreenScaler: Automatically training software energy models with big data.

Shaiful Alam Chowdhury, Stephanie Gil, Stephen Romansky, Abram Hindle

PeerJ Prepr., 2016

Client-Side Energy Efficiency of HTTP/2 for Web and Mobile App Developers.

Shaiful Alam Chowdhury, Varun Sapra, Abram Hindle

Proceedings of the IEEE 23rd International Conference on Software Analysis, 2016

Characterizing energy-aware software projects: are they different?

Shaiful Alam Chowdhury, Abram Hindle

Proceedings of the 13th International Conference on Mining Software Repositories, 2016

GreenOracle: estimating software energy consumption with energy measurement corpora.

Shaiful Alam Chowdhury, Abram Hindle

Proceedings of the 13th International Conference on Mining Software Repositories, 2016

2015

Is HTTP/2 more energy efficient than HTTP/1.1 for mobile users?

Shaiful Alam Chowdhury, Varun Sapra, Abram Hindle

PeerJ Prepr., 2015

Mining StackOverflow to Filter Out Off-Topic IRC Discussion.

Shaiful Alam Chowdhury, Abram Hindle

Proceedings of the 12th IEEE/ACM Working Conference on Mining Software Repositories, 2015

A system-call based model of software energy consumption without hardware instrumentation.

Shaiful Alam Chowdhury, Luke N. Kumar, Md. Toukir Imam, Mohomed Shazan Mohomed Jabbar, Varun Sapra, Karan Aggarwal, Abram Hindle, Russell Greiner

Proceedings of the Sixth International Green and Sustainable Computing Conference, 2015

2014

Community-based forwarding for low-capacity pocket switched networks.

Khadija Rasul, Shaiful Alam Chowdhury, Dwight J. Makaroff, Kevin G. Stanley

Proceedings of the 17th ACM International Conference on Modeling, 2014

Category-based user interaction with online user-generated videos: workload characterization.

Shaiful Alam Chowdhury, Dwight J. Makaroff

Proceedings of 24th Annual International Conference on Computer Science and Software Engineering, 2014

2013

Category-Based YouTube Request Pattern Characterization.

Shaiful Alam Chowdhury, Dwight J. Makaroff

Proceedings of the Web Information Systems and Technologies - 9th International Conference, 2013

Popularity Growth Patterns of YouTube Videos - A Category-based Study.

Shaiful Alam Chowdhury, Dwight J. Makaroff

Proceedings of the WEBIST 2013, 2013

2012

Characterizing Videos and Users in YouTube: A Survey.

Shaiful Alam Chowdhury, Dwight J. Makaroff

Proceedings of the 2012 Seventh International Conference on Broadband, 2012

Performance Evaluation of Yahoo! S4: A First Look.

Jagmohan Chauhan, Shaiful Alam Chowdhury, Dwight J. Makaroff

Proceedings of the 2012 Seventh International Conference on P2P, 2012