Enhancing software fault prediction with machine learning emerging research and opportunities

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 ca...

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Bibliographic Details
Main Author: Rashid, Ekbal (Author)
Format: Book
Language:English
Published: Hershey, PA IGI Global 2018
Subjects:
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MARC

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020 |a 9781522531852 (hardcover) 
020 |a 1522531858 (hardcover) 
039 9 |a 202211041216  |b VLOAD  |c 201904041107  |d johari  |y 201812061611  |z shahrim 
040 |a UPNM  |b eng  |c UPNM  |e rda 
090 |a QA 76.76.F34  |b R37 2018 
100 1 |a Rashid, Ekbal,  |e author. 
245 1 0 |a Enhancing software fault prediction with machine learning  |b emerging research and opportunities  |c Ekbal Rashid. 
264 1 |a Hershey, PA  |b IGI Global  |c 2018 
300 |a xiv, 129 pages  |c 26 cm. 
336 |a text  |2 rdacontent 
337 |a unmediated  |2 rdamedia 
338 |a volume  |2 rdacarrier 
504 |a Includes bibliographical references and index. 
520 |a 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. 
592 |a IV-100518  |b 13/02/2019  |c RM 664.93  |h Yuha Assoc. 
650 0 |a Software failures  |x Prevention  |x Data processing. 
650 0 |a Computer software  |x Quality control  |x Data processing. 
650 0 |a Computer system failures. 
650 0 |a Machine learning. 
999 |a vtls000062524  |c 51141  |d 51141