Abdul Ali Bangash

32 papers A 5C 1Journal 24Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
HAFix: history-augmented large language models for bug fixing.
Empir. Softw. Eng.
Yu Shi, Abdul Ali Bangash, Emad Fallahzadeh, Bram Adams, Ahmed E. Hassan
2026 J jnl
Novice Developers Produce Larger Review Overhead for Project Maintainers while Vibe Coding.
CoRR
Syed Ammar Asdaque, Imran Haider, Muhammad Umar Malik, Maryam Abdul Ghafoor, Abdul Ali Bangash
2026 J jnl
On the Adoption of AI Coding Agents in Open-source Android and iOS Development.
CoRR
Muhammad Ahmad Khan, Hasnain Ali, Muneeb Rana, Muhammad Saqib Ilyas, Abdul Ali Bangash
2026 J jnl
On the synchronization between Hugging Face pre-trained language models and their upstream GitHub repository.
Empir. Softw. Eng.
Adekunle Akinjobi Ajibode, Abdul Ali Bangash, Oussama Ben Sghaier, Bram Adams, Ahmed E. Hassan
2026 J jnl
Understanding Prompt Management in GitHub Repositories: A Call for Best Practices.
IEEE Softw.
Hao Li, Hicham Masri, Filipe Roseiro Côgo, Abdul Ali Bangash, Bram Adams, Ahmed E. Hassan
2025 J jnl
Cluster-guided LLM-Based Anonymization of Software Analytics Data: Studying Privacy-Utility Trade-offs in JIT Defect Prediction.
CoRR
Maaz Khan, Gul Sher Khan, Ahsan Raza, Pir Sami Ullah, Abdul Ali Bangash
2025 J jnl
Does faster mean greener? Runtime and energy trade-offs in iOS applications with compiler optimizations.
Sustain. Comput. Informatics Syst.
José Miguel Aragón-Jurado, Abdul Ali Bangash, Bernabé Dorronsoro, Karim Ali, Abram Hindle, Patricia Ruiz
2025 J jnl
HAFix: History-Augmented Large Language Models for Bug Fixing.
CoRR
Yu Shi, Abdul Ali Bangash, Emad Fallahzadeh, Bram Adams, Ahmed E. Hassan
2025 J jnl
On the Workflows and Smells of Leaderboard Operations (LBOps): An Exploratory Study of Foundation Model Leaderboards.
IEEE Trans. Software Eng.
Zhimin Zhao, Abdul Ali Bangash, Filipe Roseiro Côgo, Bram Adams, Ahmed E. Hassan
2025 J jnl
On the synchronization between Hugging Face pre-trained language models and their upstream GitHub repository.
CoRR
Adekunle Akinjobi Ajibode, Abdul Ali Bangash, Bram Adams, Ahmed E. Hassan
2025 J jnl
The State of the SBOM Tool Ecosystems: A Comparative Analysis of SPDX and CycloneDX.
CoRR
Abdul Ali Bangash, Tongxu Ge, Zhimin Zhao, Arshdeep Singh, Zitao Wang, Bram Adams
2025 J jnl
Towards semantic versioning of open pre-trained language model releases on hugging face.
Empir. Softw. Eng.
Adekunle Akinjobi Ajibode, Abdul Ali Bangash, Filipe Roseiro Côgo, Bram Adams, Ahmed E. Hassan
2025 J jnl
Understanding Prompt Management in GitHub Repositories: A Call for Best Practices.
CoRR
Hao Li, Hicham Masri, Filipe Roseiro Côgo, Abdul Ali Bangash, Bram Adams, Ahmed E. Hassan
2024 J jnl
An Empirical Study of Challenges in Machine Learning Asset Management.
CoRR
Zhimin Zhao, Yihao Chen, Abdul Ali Bangash, Bram Adams, Ahmed E. Hassan
2024 J jnl
An empirical study of challenges in machine learning asset management.
Empir. Softw. Eng.
Zhimin Zhao, Yihao Chen, Abdul Ali Bangash, Bram Adams, Ahmed E. Hassan
2024 J jnl
IRJIT: A simple, online, information retrieval approach for just-in-time software defect prediction.
Empir. Softw. Eng.
Hareem Sahar, Abdul Ali Bangash, Abram Hindle, Denilson Barbosa
2024 J jnl
On the Workflows and Smells of Leaderboard Operations (LBOps): An Exploratory Study of Foundation Model Leaderboards.
CoRR
Zhimin Zhao, Abdul Ali Bangash, Filipe Roseiro Côgo, Bram Adams, Ahmed E. Hassan
2024 J jnl
The State of Documentation Practices of Third-Party Machine Learning Models and Datasets.
IEEE Softw.
Ernesto Lang Oreamuno, Rohan Faiyaz Khan, Abdul Ali Bangash, Catherine Stinson, Bram Adams
2024 J jnl
Towards Semantic Versioning of Open Pre-trained Language Model Releases on Hugging Face.
CoRR
Adekunle Akinjobi Ajibode, Abdul Ali Bangash, Filipe Roseiro Côgo, Bram Adams, Ahmed E. Hassan
2023 A conf
An Empirical Study to Investigate Collaboration Among Developers in Open Source Software (OSS).
MSR
Weijie Sun, Samuel Iwuchukwu, Abdul Ali Bangash, Abram Hindle
2023 — conf
Cost-effective Strategies for Building Energy Efficient Mobile Applications.
ICSE Companion
Abdul Ali Bangash
2023 A conf
Energy Consumption Estimation of API-usage in Smartphone Apps via Static Analysis.
MSR
Abdul Ali Bangash, Kalvin Eng, Jamal Qasim, Karim Ali, Abram Hindle
2023 A conf
Evolution of the Practice of Software Testing in Java Projects.
MSR
Anisha Islam, Nipuni Tharushika Hewage, Abdul Ali Bangash, Abram Hindle
2023 J jnl
The State of Documentation Practices of Third-party Machine Learning Models and Datasets.
CoRR
Ernesto Lang Oreamuno, Rohan Faiyaz Khan, Abdul Ali Bangash, Catherine Stinson, Bram Adams
2022 — conf
Black Box Technique to Reduce Energy Consumption of Android Apps.
ICSE (NIER)
Abdul Ali Bangash, Karim Ali, Abram Hindle
2022 J jnl
IRJIT - An Information Retrieval Technique for Just-in-time Defect Identification.
CoRR
Hareem Sahar, Yuxin Liu, Abdul Ali Bangash, Abram Hindle, Denilson Barbosa
2021 A conf
Energy Efficient Guidelines for iOS Core Location Framework.
ICSME
Abdul Ali Bangash, Daniil Tiganov, Karim Ali, Abram Hindle
2020 J jnl
On the time-based conclusion stability of cross-project defect prediction models.
Empir. Softw. Eng.
Abdul Ali Bangash, Hareem Sahar, Abram Hindle, Karim Ali
2019 J jnl
On the Time-Based Conclusion Stability of Software Defect Prediction Models.
CoRR
Abdul Ali Bangash, Hareem Sahar, Abram Hindle, Karim Ali
2019 J jnl
Towards energy aware object-oriented development of android applications.
Sustain. Comput. Informatics Syst.
Hareem Sahar, Abdul Ali Bangash, Mirza Omer Beg
2019 A conf
What do developers know about machine learning: a study of ML discussions on StackOverflow.
MSR
Abdul Ali Bangash, Hareem Sahar, Shaiful Alam Chowdhury, Alexander William Wong, Abram Hindle, Karim Ali
2017 C conf
A Methodology for Relating Software Structure with Energy Consumption.
SCAM
Abdul Ali Bangash, Hareem Sahar, Mirza Omer Beg