Empirical Assessment of Machine Learning Techniques for Software Requirements Risk Prediction
Empirical Assessment of Machine Learning Techniques for Software Requirements Risk Prediction
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Publisher
Basel: MDPI AG
Journal title
Language
English
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Publisher
Basel: MDPI AG
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Scope and Contents
Contents
Software risk prediction is the most sensitive and crucial activity of Software Development Life Cycle (SDLC). It may lead to the success or failure of a project. The risk should be predicted earlier to make a software project successful. A model is proposed for the prediction of software requirement risks using requirement risk dataset and machine...
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Full title
Empirical Assessment of Machine Learning Techniques for Software Requirements Risk Prediction
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TN_cdi_proquest_journals_2478865902
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2478865902
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ISSN
2079-9292
E-ISSN
2079-9292
DOI
10.3390/electronics10020168
