A Novel Approach to Improve Software Defect Prediction Accuracy Using Machine Learning

In software engineering community, defect prediction is one the active domain. For the software's success, it is essential to reduce the software engineering and data-mining gap. Software defects prediction forecasts the source code errors before the testing phase. Methods for predicting softwa...

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Veröffentlicht in:	IEEE access 2023-01, Vol.11, p.1-1
Hauptverfasser:	Mehmood, Iqra, Shahid, Sidra, Hussain, Hameed, Khan, Inayat, Ahmad, Shafiq, Rahman, Shahid, Ullah, Najeeb, Huda, Shamsul
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Algorithms Classifiers Clustering Data mining Datasets Decision trees Defect Prediction Defects Feature selection Feature Selection and Machine Learning Machine learning Machine learning algorithms Multilayer perceptrons Neural networks Predictive models Software algorithms Software engineering Software quality Software testing Source code Statistical analysis Statistical methods Support vector machines
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