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Enhancing software fault prediction ...

Rashid, Ekbal, (1976-)

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

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Enhancing software fault prediction with machine learning :/ Ekbal Rashid.
Reminder of title:	emerging research and opportunities /
Author:	Rashid, Ekbal,
Published:	Hershey, PA :Engineering Science Reference, : c2018.,
Description:	xiv, 129 p. :ill. ; : 27 cm.;
Notes:	"Research insights"--Cover.
Subject:	Machine learning. -
ISBN:	9781522531852 :

Enhancing software fault prediction with machine learning : = emerging research and opportunities /
Rashid, Ekbal,1976-

Enhancing software fault prediction with machine learning :emerging research and opportunities /Ekbal Rashid. - Hershey, PA :Engineering Science Reference,c2018. - xiv, 129 p. :ill. ;27 cm. - Advances in systems analysis, software engineering, and high performance computing (ASASEHPC) book series.

"Research insights"--Cover.

Includes bibliographical references (p. 108-127) and index.

Software quality -- Literature survey and scope of the present work -- Overview of machine learning approaches -- Methods of software quality prediction with similarity measures : as an expert system -- Software quality measures as degree of excellence -- Understanding the state of quality software -- Estimation and evaluation of software quality at a particular stage of software development -- Conclusions and future work.

"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: 9781522531852 :NT4958

LCCN: 2017015192Subjects--Topical Terms:

561253
Machine learning.

LC Class. No.: QA76.76.F34 / R37 2018

Dewey Class. No.: 005.3028/7

Enhancing software fault prediction with machine learning : = emerging research and opportunities /
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020 $a 9781522531869 (ebk.)
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050 0 0 $a QA76.76.F34 $b R37 2018
082 0 0 $a 005.3028/7 $2 23
100 1 $a Rashid, Ekbal, $d 1976- $3 1129527
245 1 0 $a Enhancing software fault prediction with machine learning : $b emerging research and opportunities / $c Ekbal Rashid.
260 $a Hershey, PA : $b Engineering Science Reference, $c c2018.
300 $a xiv, 129 p. : $b ill. ; $c 27 cm.
490 0 $a Advances in systems analysis, software engineering, and high performance computing (ASASEHPC) book series
500 $a "Research insights"--Cover.
504 $a Includes bibliographical references (p. 108-127) and index.
505 0 $a Software quality -- Literature survey and scope of the present work -- Overview of machine learning approaches -- Methods of software quality prediction with similarity measures : as an expert system -- Software quality measures as degree of excellence -- Understanding the state of quality software -- Estimation and evaluation of software quality at a particular stage of software development -- Conclusions and future work.
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"-- $c Provided by publisher.
650 0 $a Machine learning. $3 561253
650 0 $a Computer software $x Reliability. $3 566723
650 0 $a Computer system failures. $3 782237
650 0 $a Software maintenance $x Data processing. $3 827565
650 0 $a Computer software $x Quality control $x Data processing. $3 1129528
650 0 $a Software failures $x Prevention $x Data processing. $3 827564