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ORCIDSafdar Aqeel Safdar
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2020 – today
- 2021
[b1]Safdar Aqeel Safdar:
Improving Post-Deployment Configuration of Cyber-Physical Systems Using Machine Learning and Multi-Objective Search. University of Oslo, Norway, 2021- [j4]Safdar Aqeel Safdar
, Hong Lu, Tao Yue, Shaukat Ali, Kunming Nie:
A framework for automated multi-stage and multi-step product configuration of cyber-physical systems. Softw. Syst. Model. 20(1): 211-265 (2021) - [j3]Safdar Aqeel Safdar, Tao Yue, Shaukat Ali:
Recommending Faulty Configurations for Interacting Systems Under Test Using Multi-objective Search. ACM Trans. Softw. Eng. Methodol. 30(4): 53:1-53:36 (2021) - 2020
- [j2]Safdar Aqeel Safdar, Tao Yue, Shaukat Ali, Hong Lu:
Using multi-objective search and machine learning to infer rules constraining product configurations. Autom. Softw. Eng. 27(1): 1-62 (2020) - [j1]Shaukat Ali, Paolo Arcaini, Dipesh Pradhan, Safdar Aqeel Safdar, Tao Yue:
Quality Indicators in Search-based Software Engineering: An Empirical Evaluation. ACM Trans. Softw. Eng. Methodol. 29(2): 10:1-10:29 (2020)
2010 – 2019
- 2017
- [c3]Safdar Aqeel Safdar, Hong Lu, Tao Yue, Shaukat Ali:
Mining cross product line rules with multi-objective search and machine learning. GECCO 2017: 1319-1326 - 2016
- [c2]Safdar Aqeel Safdar, Tao Yue, Shaukat Ali, Hong Lu:
Evaluating Variability Modeling Techniques for Supporting Cyber-Physical System Product Line Engineering. SAM 2016: 1-19 - 2015
- [c1]Safdar Aqeel Safdar, Muhammad Zohaib Iqbal, Muhammad Uzair Khan:
Empirical Evaluation of UML Modeling Tools-A Controlled Experiment. ECMFA 2015: 33-44
Coauthor Index
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