Muhammad Ashfaq

Muhammad received his bachelor's degree in information technology from University of Gujrat, Paksitan and his master's degree in computer science and technology from Jiangsu University, China.

His current research interests include: Software testing (testing software product lines, complex parameteric systems, random testing, combinatorial testing), AI for testing, testing for AI, and web technologies.

News

[2022.01.07]. Our JSS paper "SWFC-ART: A cost-effective approach for Fixed-Size-Candidate-Set Adaptive Random Testing through small world graphs" has been invited and accepted to be presented at the Journal First Track of the ICST 2022.
[2021.05.19]. Our paper "SWFC-ART: A cost-effective approach for Fixed-size-Candidate-set Adaptive Random Testing through Small World graphs" has been accepted by the Journal of Systems and Software.
[2020.09.21]. Our paper "Enhancing FSCS-ART through Test Input Quantization and Inverted Lists" has been accepted by the 12nd Asia-Pacific Symposium on Internetware (Internetware 2020).
[2020.08.01]. Our paper "FSCS-SIMD: An efficient implementation of Fixed-Size-Candidate-Set adaptive random testing using SIMD instructions" has been accepted by the 31st International Symposium on Software Reliability Engineering (ISSRE 2020).

Selected Publications

Muhammad Ashfaq (2021). Enhancing the efficiency of adaptive random testing using nearest neighbour algorithms. Master’s Degree Thesis, School of Computer Science, Jiangsu University, China.
Muhammad Ashfaq, Rubing Huang, Dave Towey, Michael Omari, Dmitry Yashunin, Patrick Kwaku Kudjo, Tao Zhang, SWFC-ART: A Cost-effective Approach for Fixed-Size-Candidate-Set Adaptive Random Testing through Small World Graphs, Journal of Systems and Software (JSS), vol. 180, pp: 111008, 2021. (Invited to be presented at the Journal First Session of ICST 2022)
Muhammad Ashfaq, Rubing Huang, Michael Omari, FSCS-SIMD: An Efficient Implementation of Fixed-Size-Candidate-Set Adaptive Random Testing Using SIMD Instructions,The 31st IEEE International Symposium on Software Reliability Engineering (ISSRE'20), October 12-15, pp. 277-288, Coimbra, Portugal, 2020.
Muhammad Ashfaq, Rubing Huang, and Michael Omari. 2020. Enhancing FSCS-ART through Test Input Quantization and Inverted Lists. In 12th Asia-Pacific Symposium on Internetware (Internetware'20). Association for Computing Machinery, New York, NY, USA, 31–40.
Wang, B., Shahzad, M., Zhu, X., Rehman, K. U., Ashfaq, M, & Abubakar, M. (2020). Soft-sensor modeling for l-lysine fermentation process based on hybrid ICS-MLSSVM. Scientific Reports, 10(1).