Degree
Master of Science in Computer Science
Department
Department of Computer Science
Faculty / School
Faculty of Computer Sciences (FCS)
Date of Submission
2023-11-21
Supervisor
Waqas Mahmood, Visiting Faculty, Department of Computer Science, School of Mathematics and Computer Science (SMCS)
Document type
MSCS Survey Report
Keywords
Machine Learning, Machine Learning Testing, Software Testing, Software Quality Assurance, Reliability Engineering
Abstract
Machine learning has become widespread across several domains. It has its applications in mission critical and safety critical applications, which makes it imperative to assure its correctness and trustworthiness (reliability and robustness) properties. Software verification and testing is an established technique for assuring such properties. However, software testing challenges for machine learning are different in nature, as opposed to traditional software systems. In this paper, current approaches to these challenges are discussed along with the necessary testing properties to establish the quality of machine learning applications. We’ve also investigated how reliable Machine Learning system themselves and are they conducive for mission critical and safety critical applications.
Recommended Citation
Rao, S. (2023). Quality assurance for AI: machine learning testing (Unpublished MSCS survey report). IBA, Pakistan. Retrieved from https://ir.iba.edu.pk/survey-reports-mscs/149
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