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المساهمون: Palomba, F, Zanoni, M, Arcelli Fontana, F, De Lucia, A, Oliveto, R
المصدر: IEEE Transactions on Software Engineering, 45(2)
مصطلحات موضوعية: Computer science, Entropy, Maintainability, 02 engineering and technology, Code smell, Machine learning, computer.software_genre, ING-INF/05 - SISTEMI DI ELABORAZIONE DELLE INFORMAZIONI, Bug Prediction, Code Smells, Complexity theory, Computer bugs, Empirical Study, Indexes, Measurement, Mining Software Repositories, Predictive models, Software, empirical study, Code Smells, Bug Prediction, Empirical Study, Mining Software Repositories, Software_SOFTWAREENGINEERING, 0202 electrical engineering, electronic engineering, information engineering, mining software repositorie, mining software repositories, business.industry, bug prediction, INF/01 - INFORMATICA, 020207 software engineering, Software quality, Software bug, Artificial intelligence, business, Algorithm, computer, Code smells
وصف الملف: application/pdf; STAMPA
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2مورد إلكتروني
مصطلحات الفهرس: bug prediction, Code smell, empirical study, mining software repositorie, Software, Code Smells, Bug Prediction, Empirical Study, Mining Software Repositories, INF/01 - INFORMATICA, ING-INF/05 - SISTEMI DI ELABORAZIONE DELLE INFORMAZIONI, info:eu-repo/semantics/article
URL:
http://hdl.handle.net/10281/174556 http://ieeexplore.ieee.org.proxy.unimib.it/document/8097044/
info:eu-repo/semantics/altIdentifier/wos/WOS:000458805300004
volume:45
issue:2
firstpage:194
lastpage:218
numberofpages:25
journal:IEEE TRANSACTIONS ON SOFTWARE ENGINEERING