Interpretable Software Maintenance and Support Effort Prediction Using Machine Learning

Software maintenance and support efforts consume a significant amount of the software project budget to operate the software system in its expected quality. Manually estimating the total hours required for this phase can be very time-consuming, and often differs from the actual cost that is incurred...

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Veröffentlicht in:	Proceedings (IEEE/ACM International Conference on Software Engineering Companion. Online) S. 288 - 289
Hauptverfasser:	Haldar, Susmita, Capretz, Luiz Fernando
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	ACM 14.04.2024
Schlagworte:	Automation Costs Estimation Explainable machine learning models Machine learning Machine learning algorithms Maintenance and support effort prediction Model agnostic interpretation Predictive models Software maintenance
ISSN:	2574-1934
Online-Zugang:	Volltext
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