Volume 6 , Issue 2 , PP: 34-42, 2023 | Cite this article as | XML | Html | PDF
Preeti Baderiya 1 * , Chetan Gupta 2 , Shivendra Dubey 3
Doi: https://doi.org/10.54216/IJWAC.060203
It is possible to improve software quality by anticipating fault location through the utilization of software metrics within fault prediction models in network. This article provides a comprehensive literature review on the topic of software fault forecasting. The paper also seeks to identify software metrics and evaluate how applicable those metrics are to the process of software fault prediction. It is recommended that additional research be conducted on large industrial software systems to identify metrics that are more pertinent for the industry and to find an answer to the question of which metrics should be employed in a particular setting.
Software development , Fault Detection , Network , Fault Prevention , Software faults , Dynamic selection
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