Language:
English
繁體中文
Help
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
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 /
LDR
:01671cam a2200253 a 4500
001
878013
005
20171201084151.0
008
171215s2018 paua b 001 0 eng
010
$a
2017015192
020
$a
9781522531852 :
$c
NT4958
020
$a
9781522531869 (ebk.)
035
$a
00044357
040
$a
DLC
$b
eng
$c
DLC
$d
DLC
$d
NFU
041
0
$a
eng
042
$a
pcc
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
based on 0 review(s)
ALL
圖書館3F 書庫
Items
1 records • Pages 1 •
1
Inventory Number
Location Name
Item Class
Material type
Call number
Usage Class
Loan Status
No. of reservations
Opac note
Attachments
E044357
圖書館3F 書庫
一般圖書(BOOK)
一般圖書
005.30287 R224 2018
一般使用(Normal)
On shelf
0
Reserve
1 records • Pages 1 •
1
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login