Machine Learning Implementation in Automated Software Testing: A Review
Normi Sham Awang Abu BakarThe integration of Machine Learning (ML) in automated software testing represents a transformative approach aimed at enhancing the efficiency, accuracy, and scope of testing processes. This paper explores the theoretical and practical aspects of employing ML techniques within the realm of software testing, focusing on key areas such as test case generation, defect prediction, and test suite optimisation. Through a comprehensive literature review and case studies, this study illustrates the potential benefits associated with ML-driven testing methodologies. The findings indicate that ML can significantly reduce manual intervention and improve defect detection rates, thereby facilitating more reliable software delivery. This paper also addresses the benefits of ML implementation in automated testing and future research directions to bridge existing gaps and further leverage ML in software testing.
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APA
Abu Bakar, N.S. (2025). Machine Learning Implementation in Automated Software Testing: A Review. Journal of Data Analytics and Artificial Intelligence Applications, 0(0), -. https://doi.org/10.26650/d3ai.001
AMA
Abu Bakar N S. Machine Learning Implementation in Automated Software Testing: A Review. Journal of Data Analytics and Artificial Intelligence Applications. 2025;0(0):-. https://doi.org/10.26650/d3ai.001
ABNT
Abu Bakar, N.S. Machine Learning Implementation in Automated Software Testing: A Review. Journal of Data Analytics and Artificial Intelligence Applications, [Publisher Location], v. 0, n. 0, p. -, 2025.
Chicago: Author-Date Style
Abu Bakar, Normi Sham Awang,. 2025. “Machine Learning Implementation in Automated Software Testing: A Review.” Journal of Data Analytics and Artificial Intelligence Applications 0, no. 0: -. https://doi.org/10.26650/d3ai.001
Chicago: Humanities Style
Abu Bakar, Normi Sham Awang,. “Machine Learning Implementation in Automated Software Testing: A Review.” Journal of Data Analytics and Artificial Intelligence Applications 0, no. 0 (Feb. 2025): -. https://doi.org/10.26650/d3ai.001
Harvard: Australian Style
Abu Bakar, NS 2025, 'Machine Learning Implementation in Automated Software Testing: A Review', Journal of Data Analytics and Artificial Intelligence Applications, vol. 0, no. 0, pp. -, viewed 5 Feb. 2025, https://doi.org/10.26650/d3ai.001
Harvard: Author-Date Style
Abu Bakar, N.S. (2025) ‘Machine Learning Implementation in Automated Software Testing: A Review’, Journal of Data Analytics and Artificial Intelligence Applications, 0(0), pp. -. https://doi.org/10.26650/d3ai.001 (5 Feb. 2025).
MLA
Abu Bakar, Normi Sham Awang,. “Machine Learning Implementation in Automated Software Testing: A Review.” Journal of Data Analytics and Artificial Intelligence Applications, vol. 0, no. 0, 2025, pp. -. [Database Container], https://doi.org/10.26650/d3ai.001
Vancouver
Abu Bakar NS. Machine Learning Implementation in Automated Software Testing: A Review. Journal of Data Analytics and Artificial Intelligence Applications [Internet]. 5 Feb. 2025 [cited 5 Feb. 2025];0(0):-. Available from: https://doi.org/10.26650/d3ai.001 doi: 10.26650/d3ai.001
ISNAD
Abu Bakar, NormiSham Awang. “Machine Learning Implementation in Automated Software Testing: A Review”. Journal of Data Analytics and Artificial Intelligence Applications 0/0 (Feb. 2025): -. https://doi.org/10.26650/d3ai.001
