語系:
繁體中文
English
說明(常見問題)
圖資館首頁
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Fault prediction modeling for the pr...
~
Kumar, Sandeep.
Fault prediction modeling for the prediction of number of software faults
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Fault prediction modeling for the prediction of number of software faultsby Santosh Singh Rathore, Sandeep Kumar.
作者:
Rathore, Santosh Singh.
其他作者:
Kumar, Sandeep.
出版者:
Singapore :Springer Singapore :2019.
面頁冊數:
xiii, 78 p. :ill., digital ;24 cm.
Contained By:
Springer eBooks
標題:
Computer softwareReliability.
電子資源:
https://doi.org/10.1007/978-981-13-7131-8
ISBN:
9789811371318$q(electronic bk.)
Fault prediction modeling for the prediction of number of software faults
Rathore, Santosh Singh.
Fault prediction modeling for the prediction of number of software faults
[electronic resource] /by Santosh Singh Rathore, Sandeep Kumar. - Singapore :Springer Singapore :2019. - xiii, 78 p. :ill., digital ;24 cm. - SpringerBriefs in computer science,2191-5768. - SpringerBriefs in computer science..
Introduction -- Techniques used for the Prediction of Number of Faults -- Homogeneous Ensemble Methods for the Prediction of Number of Faults -- Linear Rule based Ensemble Methods for the prediction of Number of Faults -- Non-Linear Rule based Ensemble Methods for the prediction of Number of Faults -- Conclusions.
This book addresses software faults-a critical issue that not only reduces the quality of software, but also increases their development costs. Various models for predicting the fault-proneness of software systems have been proposed; however, most of them provide inadequate information, limiting their effectiveness. This book focuses on the prediction of number of faults in software modules, and provides readers with essential insights into the generalized architecture, different techniques, and state-of-the art literature. In addition, it covers various software fault datasets and issues that crop up when predicting number of faults. A must-read for readers seeking a "one-stop" source of information on software fault prediction and recent research trends, the book will especially benefit those interested in pursuing research in this area. At the same time, it will provide experienced researchers with a valuable summary of the latest developments.
ISBN: 9789811371318$q(electronic bk.)
Standard No.: 10.1007/978-981-13-7131-8doiSubjects--Topical Terms:
199854
Computer software
--Reliability.
LC Class. No.: QA76.76.R44
Dewey Class. No.: 005.068
Fault prediction modeling for the prediction of number of software faults
LDR
:02343nmm a2200337 a 4500
001
554400
003
DE-He213
005
20190403151528.0
006
m d
007
cr nn 008maaau
008
191118s2019 si s 0 eng d
020
$a
9789811371318$q(electronic bk.)
020
$a
9789811371301$q(paper)
024
7
$a
10.1007/978-981-13-7131-8
$2
doi
035
$a
978-981-13-7131-8
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
QA76.76.R44
072
7
$a
UMZ
$2
bicssc
072
7
$a
COM051230
$2
bisacsh
072
7
$a
UMZ
$2
thema
082
0 4
$a
005.068
$2
23
090
$a
QA76.76.R44
$b
R234 2019
100
1
$a
Rathore, Santosh Singh.
$3
818716
245
1 0
$a
Fault prediction modeling for the prediction of number of software faults
$h
[electronic resource] /
$c
by Santosh Singh Rathore, Sandeep Kumar.
260
$a
Singapore :
$b
Springer Singapore :
$b
Imprint: Springer,
$c
2019.
300
$a
xiii, 78 p. :
$b
ill., digital ;
$c
24 cm.
490
1
$a
SpringerBriefs in computer science,
$x
2191-5768
505
0
$a
Introduction -- Techniques used for the Prediction of Number of Faults -- Homogeneous Ensemble Methods for the Prediction of Number of Faults -- Linear Rule based Ensemble Methods for the prediction of Number of Faults -- Non-Linear Rule based Ensemble Methods for the prediction of Number of Faults -- Conclusions.
520
$a
This book addresses software faults-a critical issue that not only reduces the quality of software, but also increases their development costs. Various models for predicting the fault-proneness of software systems have been proposed; however, most of them provide inadequate information, limiting their effectiveness. This book focuses on the prediction of number of faults in software modules, and provides readers with essential insights into the generalized architecture, different techniques, and state-of-the art literature. In addition, it covers various software fault datasets and issues that crop up when predicting number of faults. A must-read for readers seeking a "one-stop" source of information on software fault prediction and recent research trends, the book will especially benefit those interested in pursuing research in this area. At the same time, it will provide experienced researchers with a valuable summary of the latest developments.
650
0
$a
Computer software
$x
Reliability.
$3
199854
650
0
$a
Computer software
$x
Testing.
$3
189355
650
0
$a
Computer software
$x
Evaluation.
$3
230892
650
1 4
$a
Software Engineering.
$3
274511
650
2 4
$a
The Computer Industry.
$3
285768
700
1
$a
Kumar, Sandeep.
$3
212735
710
2
$a
SpringerLink (Online service)
$3
273601
773
0
$t
Springer eBooks
830
0
$a
SpringerBriefs in computer science.
$3
559641
856
4 0
$u
https://doi.org/10.1007/978-981-13-7131-8
950
$a
Computer Science (Springer-11645)
筆 0 讀者評論
全部
電子館藏
館藏
1 筆 • 頁數 1 •
1
條碼號
館藏地
館藏流通類別
資料類型
索書號
使用類型
借閱狀態
預約狀態
備註欄
附件
000000167262
電子館藏
1圖書
電子書
EB QA76.76.R44 R234 2019 2019
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
多媒體檔案
https://doi.org/10.1007/978-981-13-7131-8
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
變更密碼
登入