Mitigating Software Development Failures Through Artificial Intelligence: A Contemporary Analysis
Keywords:
Artificial Intelligence, Software Development Failures, Automated Testing, Code Generation, System ObservabilityAbstract
The software industry still struggles with developing systems that do what they are intended to do in waysthat make sense for human interaction and for the workplace in which they will operate. Establishedmethodologies for developing new software systems are based on overly idealized ideas of how people interact. In contrast, the application
References
Herb Krasner, "The Cost of Poor Software Quality in the US: A 2020 Report," Consortium for IT Software Quality, 2020. [Online]. Available: https://www.it-cisq.org/cisq-files/pdf/CPSQ-2020-report.pdf
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Published
2026-01-31
How to Cite
Srinivas Bhargava Jonnalagadda. (2026). Mitigating Software Development Failures Through Artificial Intelligence: A Contemporary Analysis . Journal of Computational Analysis and Applications (JoCAAA), 35(1), 1054–1059. Retrieved from https://www.eudoxuspress.com/index.php/pub/article/view/4839
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