A Methodology for Relating Software Structure with Energy Consumption. - Abdul Ali Bangash; Hareem Sahar; Mirza Omer Beg (SCAM, 2017)

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)

On the Time-Based Conclusion Stability of Software Defect Prediction Models. - Abdul Ali Bangash; Hareem Sahar; Abram Hindle; Karim Ali 001 (CoRR, 2019)

Towards energy aware object-oriented development of android applications. - Hareem Sahar; Abdul Ali Bangash; Mirza Omer Beg (Sustain. Comput. Informatics Syst., 2019)

On the time-based conclusion stability of cross-project defect prediction models. - Abdul Ali Bangash; Hareem Sahar; Abram Hindle; Karim Ali 001 (Empir. Softw. Eng., 2020)

An empirical evaluation of the usefulness of Tree Kernels for Commit-time Defect Detection in large software systems. - Hareem Sahar; Yuxin Liu; Abram Hindle; Denilson Barbosa 001 (CoRR, 2021)

How are issue reports discussed in Gitter chat rooms? - Hareem Sahar; Abram Hindle; Cor-Paul Bezemer (J. Syst. Softw., 2021)

Replicating Data Pipelines with GrimoireLab. - Kalvin Eng; Hareem Sahar (MSR, 2022)

IRJIT - An Information Retrieval Technique for Just-in-time Defect Identification. - Hareem Sahar; Yuxin Liu; Abdul Ali Bangash; Abram Hindle; Denilson Barbosa 001 (CoRR, 2022)

IRJIT: A simple, online, information retrieval approach for just-in-time software defect prediction. - Hareem Sahar; Abdul Ali Bangash; Abram Hindle; Denilson Barbosa 001 (Empir. Softw. Eng., 2024)