Journal of Data Analytics and Artificial Intelligence Applications

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DOI :10.26650/d3ai.001   IUP :10.26650/d3ai.001    Tam Metin (PDF)

Machine Learning Implementation in Automated Software Testing: A Review

Normi Sham Awang Abu Bakar

The 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. 

Anahtar Kelimeler: Artificial intelligence, automated testing, software testing activities, machine learning algorithm

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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, 1(1), 110-122. 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;1(1):110-122. 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. 1, n. 1, p. 110-122, 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 1, no. 1: 110-122. 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 1, no. 1 (Mar. 2025): 110-122. 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. 1, no. 1, pp. 110-122, viewed 10 Mar. 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, 1(1), pp. 110-122. https://doi.org/10.26650/d3ai.001 (10 Mar. 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. 1, no. 1, 2025, pp. 110-122. [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]. 10 Mar. 2025 [cited 10 Mar. 2025];1(1):110-122. 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 1/1 (Mar. 2025): 110-122. https://doi.org/10.26650/d3ai.001



ZAMAN ÇİZELGESİ


Gönderim19.07.2024
Kabul27.11.2024
Çevrimiçi Yayınlanma23.01.2025

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