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Enhancing software fault prediction ...
~
Rashid, Ekbal, (1976-)
Enhancing software fault prediction with machine learningemerging research and opportunities /
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Enhancing software fault prediction with machine learning/ by Ekbal Rashid.
其他題名:
emerging research and opportunities /
作者:
Rashid, Ekbal,
出版者:
Hershey, Pennsylvania :IGI Global, : [2018],
面頁冊數:
1 online resource (xiv, 129 p.)
提要註:
"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"--
標題:
Machine learning. -
電子資源:
http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-3185-2
ISBN:
9781522531869 (ebook)
Enhancing software fault prediction with machine learningemerging research and opportunities /
Rashid, Ekbal,1976-
Enhancing software fault prediction with machine learning
emerging research and opportunities /[electronic resource] :by Ekbal Rashid. - Hershey, Pennsylvania :IGI Global,[2018] - 1 online resource (xiv, 129 p.) - Advances in systems analysis, software engineering, and high performance computing (ASASEHPC) book series . - Advances in systems analysis, software engineering, and high performance computing (ASASEHPC) book series..
Includes bibliographical references and index.
Chapter 1. Software quality -- Chapter 2. Literature survey and scope of the present work -- Chapter 3. Overview of machine learning approaches -- Chapter 4. Methods of software quality prediction with similarity measures : as an expert system -- Chapter 5. Software quality measures as degree of excellence -- Chapter 6. Understanding the state of quality software -- Chapter 7. Estimation and evaluation of software quality at a particular stage of software development.
Restricted to subscribers or individual electronic text purchasers.
"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"--
ISBN: 9781522531869 (ebook)Subjects--Topical Terms:
248498
Machine learning.
LC Class. No.: QA76.76.F34 / R37 2018e
Dewey Class. No.: 005.3028/7
Enhancing software fault prediction with machine learningemerging research and opportunities /
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http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-3185-2
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