Software Bug Prioritization in Beta Testing Using Machine Learning Techniques

Anum Waqar

Abstract


Testing in Software Development Life Cycle is one of the most crucial activities. Bug prioritization has been a manual process for long. Our paper provides a methodology for ease of bug prioritization in beta testing phase. In the methodology, data from various bug reports is supplied into a model and, through machine learning, the model outputs fairly accurate bug priority based on historical data.


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References


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DOI: https://doi.org/10.17509/jcs.v1i1.25355

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