Sajid Anwer joined FAST National University of Computer and Emerging Sciences (NUCES), Chiniot-Faisalabad (CFD) Campus, Pakistan as an Assistant Professor in August 2021. Prior to this, he did his PhD in computer science from Griffith University, Brisbane, Australia and master’s degree in Computer Science from King Fahd University of Petroleum and Minerals, Saudi Arabia. He worked as a lecturer for one and a half year at King Fahd University of Petroleum and Minerals (KFUPM) and for one year at FAST-National University of Computer and Emerging Sciences (FAST-NUCES), Chiniot-Faisalabad campus. Moreover, he has approximately six years of casual teaching experience at different Universities in different countries.
He has published several research articles in journals and conferences. His research interests include software engineering, requirements engineering, global software development, formal languages.
PhD, Griffith University, Brisbane, Australia, 2021
MSCS, King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia, 2015
BSCS, COMSATS University Islamabad, Lahore Campus, Pakistan, 2012
- Zhang, L. Wen, S. Anwer, B. Liu, “Using Composition Trees to Matching Software Requirements – an External Agency’s Approach to Support Software Acquisition”. In Journal of Software: Practice and Experience, 2022, 1-24.
- Anwer, L. Wen, Z. Wang and S. Mahmood, “Comparative Analysis of Requirements Change Management Challenges Between in-House and Global Software Development: Findings of Literature and Industry Survey,” in IEEE Access, vol. 7, pp. 116585-116611, 2019.
- Ashraf, S. Anwer, and M. G. Khan, “A Comparative Study of Predicting Student’s Performance by the use of Data Mining Techniques”. In American Scientific Research Journal for Engineering, Technology, and Sciences (ASRJETS), 44(1), 2018, 122-136.
- Mahmood, S. Anwer, M. Niazi, M. Alshayeb, and I. Richardson, “Key factors that influence task allocation in global software development”. In Information and Software Technology, 91, 2017, 102-122.
- Anwer, S., Wen, L., Zhang, S. et al. “BECIA: a behaviour engineering-based approach for change impact analysis”. In International Journal of Information Technology. (2023)
- Anwer, L. Wen and Z. Wang, “A Formal Model for Behavior Trees Based on Context-Free Grammar,” 27th Asia-Pacific Software Engineering Conference, Singapore, 2020, pp. 465-469.
- Anwer, L. Wen, and Z. Wang, “A Systematic Approach for Identifying Requirement Change Management Challenges: Preliminary Results”. In Proceedings of the Evaluation and Assessment on Software Engineering, pp. 230-235, 2019.
- Anwer, L. Wen, T. Rout, and Z. Wang, “Introducing Requirements Change Management Process into ISO/IEC 12207”. In International Conference on Software Process Improvement and Capability Determination, pp. 185-199, 2019.
- Anwer, A. Adbellatif, M. Alshayeb, and M. S. Anjum, “Effect of coupling on software faults: An empirical study.” In International Conference on Communication, Computing and Digital Systems (C-CODE), pp. 211-215, 2017.
- Dost, S. Anwer, F. Saud, and M. Shabbir, “Outliers classification for mining evolutionary community using Support Vector Machine and Logistic Regression on Azure ML.” In International Conference on Communication, Computing and Digital Systems (C-CODE), pp. 216-221, 2017.
- Mahmood, M. Jalal, and S. Anwer, “Applications of Security Reference Architectures in Distributed Systems: Initial Findings of Systematic Mapping Study”, In 10th International Conference on Software Engineering Advances (ICSEA), pp. 363 – 368, 2015.
- Mahmood, S. Anwer, W. Umer, M. Niazi, and M. Alshayeb, “Towards Task Allocation in Global Software Development Projects.” In 9th International Conference on Software Engineering Advances (ICSEA), pp. 328 – 333, 2014.
- Anwer and M. El-Attar, “An Evaluation of the Statechart Diagrams Visual Syntax,” In International Conference on Information Science and Applications (ICISA), pp. 1-4, 2014.
- Mahmood, S. Anwer, M. Niazi, M. Alshayeb, and I. Richardson, “Identifying the factors that influence task allocation in global software development: preliminary results,” In 19th International Conference on Evaluation and Assessment in Software Engineering (EASE), pp. 1-6, 2013.