Abdul Ali Bangash

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 18

Top Topics

Machine Learning

Energy Consumption

Defect Prediction

Top Venues

Empir. Softw. Eng.

Publications

Zhimin Zhao, Abdul Ali Bangash, Filipe Roseiro Côgo, Bram Adams, Ahmed E. Hassan
On the Workflows and Smells of Leaderboard Operations (LBOps): An Exploratory Study of Foundation Model Leaderboards. CoRR (2024)
Zhimin Zhao, Yihao Chen, Abdul Ali Bangash, Bram Adams, Ahmed E. Hassan
An empirical study of challenges in machine learning asset management. Empir. Softw. Eng. 29 (4) (2024)
Ernesto Lang Oreamuno, Rohan Faiyaz Khan, Abdul Ali Bangash, Catherine Stinson, Bram Adams
The State of Documentation Practices of Third-Party Machine Learning Models and Datasets. IEEE Softw. 41 (5) (2024)
Zhimin Zhao, Yihao Chen, Abdul Ali Bangash, Bram Adams, Ahmed E. Hassan
An Empirical Study of Challenges in Machine Learning Asset Management. CoRR (2024)
Hareem Sahar, Abdul Ali Bangash, Abram Hindle, Denilson Barbosa
IRJIT: A simple, online, information retrieval approach for just-in-time software defect prediction. Empir. Softw. Eng. 29 (5) (2024)
Abdul Ali Bangash
Cost-effective Strategies for Building Energy Efficient Mobile Applications. ICSE Companion (2023)
Weijie Sun, Samuel Iwuchukwu, Abdul Ali Bangash, Abram Hindle
An Empirical Study to Investigate Collaboration Among Developers in Open Source Software (OSS). MSR (2023)
Abdul Ali Bangash, Kalvin Eng, Jamal Qasim, Karim Ali, Abram Hindle
Energy Consumption Estimation of API-usage in Smartphone Apps via Static Analysis. MSR (2023)
Ernesto Lang Oreamuno, Rohan Faiyaz Khan, Abdul Ali Bangash, Catherine Stinson, Bram Adams
The State of Documentation Practices of Third-party Machine Learning Models and Datasets. CoRR (2023)
Anisha Islam, Nipuni Tharushika Hewage, Abdul Ali Bangash, Abram Hindle
Evolution of the Practice of Software Testing in Java Projects. MSR (2023)
Abdul Ali Bangash, Karim Ali, Abram Hindle
Black Box Technique to Reduce Energy Consumption of Android Apps. ICSE (NIER) (2022)
Hareem Sahar, Yuxin Liu, Abdul Ali Bangash, Abram Hindle, Denilson Barbosa
IRJIT - An Information Retrieval Technique for Just-in-time Defect Identification. CoRR (2022)
Abdul Ali Bangash, Daniil Tiganov, Karim Ali, Abram Hindle
Energy Efficient Guidelines for iOS Core Location Framework. ICSME (2021)
Abdul Ali Bangash, Hareem Sahar, Abram Hindle, Karim Ali
On the time-based conclusion stability of cross-project defect prediction models. Empir. Softw. Eng. 25 (6) (2020)
Hareem Sahar, Abdul Ali Bangash, Mirza Omer Beg
Towards energy aware object-oriented development of android applications. Sustain. Comput. Informatics Syst. 21 (2019)
Abdul Ali Bangash, Hareem Sahar, Shaiful Alam Chowdhury, Alexander William Wong, Abram Hindle, Karim Ali
What do developers know about machine learning: a study of ML discussions on StackOverflow. MSR (2019)
Abdul Ali Bangash, Hareem Sahar, Abram Hindle, Karim Ali
On the Time-Based Conclusion Stability of Software Defect Prediction Models. CoRR (2019)
Abdul Ali Bangash, Hareem Sahar, Mirza Omer Beg
A Methodology for Relating Software Structure with Energy Consumption. SCAM (2017)