International Research journal of Management Science and Technology

  ISSN 2250 - 1959 (online) ISSN 2348 - 9367 (Print) New DOI : 10.32804/IRJMST

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LEVERAGING SOFTWARE ENGINEERING THROUGH MACHINE LEARNING

    2 Author(s):  DR.AJEET SINGH POONIA,KISHORE KUMAR MISHRA

Vol -  13, Issue- 7 ,         Page(s) : 108 - 113  (2022 ) DOI : https://doi.org/10.32804/IRJMST

Abstract

Software develop through Software development life cycle has much attention of quality and optimum product into competitive business environment, but employing and managing a large complex system into changing environment still a complex task. To resolve this issue integration of machine learning algorithms with each phase of software development life cycle plays a vital role. This paper aims to focus about to understand the importance of machine learning in software engineering and learn various machine learning algorithms.

SAAD SHAFIQ, ATIF MASHKOOR, et al., “A Literature Review of Using Machine Learning in Software Development Life Cycle Stages” (2021) in IEEE Access Digital Object Identifier 10.1109/ACCESS.2021.3119746 
Subhendu Kumar Pani and Anil Kumar Mishra “Machine Learning Applications in Software Engineering: Recent Advances and Future Research Directions” (2020) in International Journal of Engineering Research & Technology (IJERT) ISSN: 2278-0181
Du Zhang and J. J. P. Tsai, "Machine learning and    software engineering," (2002), in 14th IEEE International Conference on Tools with Artificial Intelligence, 2002. (ICTAI 2002). Proceedings pp. 22-29, doi: 10.1109/TAI.2002.1180784.

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