Performance Evaluation of Yahoo! S4: A First Look. - Jagmohan Chauhan; Shaiful Alam Chowdhury; Dwight J. Makaroff (3PGCIC, 2012)

Characterizing Videos and Users in YouTube: A Survey. - Shaiful Alam Chowdhury; Dwight J. Makaroff (BWCCA, 2012)

Popularity Growth Patterns of YouTube Videos - A Category-based Study. - Shaiful Alam Chowdhury; Dwight J. Makaroff (WEBIST, 2013)

Category-Based YouTube Request Pattern Characterization. - Shaiful Alam Chowdhury; Dwight J. Makaroff (WEBIST (Selected Papers), 2013)

Category-based user interaction with online user-generated videos: workload characterization. - Shaiful Alam Chowdhury; Dwight J. Makaroff (CASCON, 2014)

Community-based forwarding for low-capacity pocket switched networks. - Khadija Rasul; Shaiful Alam Chowdhury; Dwight J. Makaroff; Kevin G. Stanley (MSWiM, 2014)

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 (IGSC, 2015)

Mining StackOverflow to Filter Out Off-Topic IRC Discussion. - Shaiful Alam Chowdhury; Abram Hindle (MSR, 2015)

Is HTTP/2 more energy efficient than HTTP/1.1 for mobile users? - Shaiful Alam Chowdhury; Varun Sapra; Abram Hindle (PeerJ Prepr., 2015)

GreenOracle: estimating software energy consumption with energy measurement corpora. - Shaiful Alam Chowdhury; Abram Hindle (MSR, 2016)

Characterizing energy-aware software projects: are they different? - Shaiful Alam Chowdhury; Abram Hindle (MSR, 2016)

Client-Side Energy Efficiency of HTTP/2 for Web and Mobile App Developers. - Shaiful Alam Chowdhury; Varun Sapra; Abram Hindle (SANER, 2016)

GreenScaler: Automatically training software energy models with big data. - Shaiful Alam Chowdhury; Stephanie Gil; Stephen Romansky; Abram Hindle (PeerJ Prepr., 2016)

Deep Green: Modelling Time-Series of Software Energy Consumption. - Stephen Romansky; Neil C. Borle; Shaiful Alam Chowdhury; Abram Hindle; Russell Greiner (ICSME, 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)

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)

GreenBundle: an empirical study on the energy impact of bundled processing. - Shaiful Alam Chowdhury; Abram Hindle; Rick Kazman; Takumi Shuto; Ken Matsui; Yasutaka Kamei (ICSE, 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 (ICSME, 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 001 (MSR, 2019)

GreenScaler: training software energy models with automatic test generation. - Shaiful Alam Chowdhury; Stephanie Borle; Stephen Romansky; Abram Hindle (Empir. Softw. Eng., 2019)

CodeShovel: Constructing Method-Level Source Code Histories. - Felix Grund; Shaiful Alam Chowdhury; Nick C. Bradley; Braxton Hall; Reid Holmes (ICSE, 2021)

CodeShovel: A Reusable and Available Tool for Extracting Source Code Histories. - Felix Grund; Shaiful Alam Chowdhury; Nick C. Bradley; Braxton Hall; Reid Holmes (ICSE (Companion Volume), 2021)

An Empirical Study on Maintainable Method Size in Java. - Shaiful Alam Chowdhury; Gias Uddin 001; Reid Holmes (MSR, 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)

Method-level Bug Prediction: Problems and Promises. - Shaiful Alam Chowdhury; Gias Uddin 001; Hadi Hemmati; Reid Holmes (ACM Trans. Softw. Eng. Methodol., 2024)

Impact of methodological choices on the analysis of code metrics and maintenance. - Syed Ishtiaque Ahmad; Shaiful Alam Chowdhury; Reid Holmes (J. Syst. Softw., 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., 2025)