Data-Driven Application Engineering: A Fusion of Analytics & Development
Keywords:
data-driven, application engineering, machine learning, software development, analytics, DevOps, continuous learning, ethical AI, user experience, big dataAbstract
This study examines data-driven application engineering, which combines advanced analyticswith software development. This study integrates data science, machine learning, and software engineering to create smarter,
References
Allamanis, M., Barr, E. T., Devanbu, P., & Sutton, C. (2018). A survey of machine learning for big code and naturalness. ACM Computing Surveys (CSUR), 51(4), 1-37
Amershi, S., Begel, A., Bird, C., DeLine, R., Gall, H., Kamar, E., ... & Zimmermann, T. (2019). Software engineering for machine learning: A case study. In Proceedings of the 41st International Conference on Software Engineering: Software Engineering in Practice (pp. 291-300). .
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Published
2023-09-10
How to Cite
Chandra Jaiswal ,Gopalakrishnan Mahadevan,Santosh Panendra Bandaru,Murali Kadiyala. (2023). Data-Driven Application Engineering: A Fusion of Analytics & Development . Journal of Computational Analysis and Applications (JoCAAA), 31(4), 1276–1296. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/2721
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