Enhancing software fault prediction with machine learning : emerging research and opportunities

by Ekbal Rashid.

"This book presents some new ideas about estimation and evaluation of the quality of software and using a standard conversion method so that lines of code from any language may be compared and be used as a uniform metric. It covers different kinds of graphical shapes that may arise out of possible cases and gives their interpretations"--

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Year of publication:	2017
Authors:	Rashid, Ekbal
Publisher:	Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) : IGI Global
Subject:	Künstliche Intelligenz \| Artificial intelligence \| Prognoseverfahren \| Forecasting model \| Software

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Extent:	1 Online-Ressource(15 PDFs (xiv, 129 pages))
Series:	Advances in systems analysis, software engineering, and high performance computing (ASASEHPC) book series
Type of publication:	Book / Working Paper
Language:	English
Notes:	Includes bibliographical references and index Restricted to subscribers or individual electronic text purchasers
ISBN:	978-1-5225-3185-2 ; 978-1-5225-3186-9 ; 1-5225-3185-8
Other identifiers:	10.4018/978-1-5225-3185-2 [DOI]
Classification:	Software engineering
Source:	ECONIS - Online Catalogue of the ZBW

Persistent link: https://www.econbiz.de/10012393547