語系:
繁體中文
English
說明(常見問題)
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Optimization of Automated Software Testing Using Meta-Heuristic Techniques
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Optimization of Automated Software Testing Using Meta-Heuristic Techniques/ edited by Manju Khari, Deepti Bala Mishra, Biswaranjan Acharya, Ruben Gonzalez Crespo.
其他作者:
Khari, Manju.
面頁冊數:
X, 184 p. 64 illus., 51 illus. in color.online resource. :
Contained By:
Springer Nature eBook
標題:
Computational intelligence. -
電子資源:
https://doi.org/10.1007/978-3-031-07297-0
ISBN:
9783031072970
Optimization of Automated Software Testing Using Meta-Heuristic Techniques
Optimization of Automated Software Testing Using Meta-Heuristic Techniques
[electronic resource] /edited by Manju Khari, Deepti Bala Mishra, Biswaranjan Acharya, Ruben Gonzalez Crespo. - 1st ed. 2022. - X, 184 p. 64 illus., 51 illus. in color.online resource. - EAI/Springer Innovations in Communication and Computing,2522-8609. - EAI/Springer Innovations in Communication and Computing,.
Introduction -- Testing Fundamentals -- Strategies and Methods For Test Cases -- Automated Testing Levels -- Polices and Plans for Testing -- Test Organization -- Controlling and Monitoring Testing Process -- Evaluating Automated Software Quality -- Defect Analysis and Prevention -- Optimization -- Security Testing -- Conclusion.
This book provides awareness of different evolutionary methods used for automatic generation and optimization of test data in the field of software testing. While the book highlights on the foundations of software testing techniques, it also focuses on contemporary topics for research and development. This book covers the automated process of testing in different levels like unit level, integration level, performance level, evaluation of testing strategies, testing in security level, optimizing test cases using various algorithms, and controlling and monitoring the testing process etc. This book aids young researchers in the field of optimization of automated software testing, provides academics with knowledge on the emerging field of AI in software development, and supports universities, research centers, and industries in new projects using AI in software testing. Supports the advancement in the artificial intelligence used in software development; Advances knowledge on artificial intelligence based metaheuristic approach in software testing; Encourages innovation in traditional software testing field using recent artificial intelligence. · .
ISBN: 9783031072970
Standard No.: 10.1007/978-3-031-07297-0doiSubjects--Topical Terms:
568984
Computational intelligence.
LC Class. No.: Q342
Dewey Class. No.: 006.3
Optimization of Automated Software Testing Using Meta-Heuristic Techniques
LDR
:03043nam a22004095i 4500
001
1083590
003
DE-He213
005
20220926141717.0
007
cr nn 008mamaa
008
221228s2022 sz | s |||| 0|eng d
020
$a
9783031072970
$9
978-3-031-07297-0
024
7
$a
10.1007/978-3-031-07297-0
$2
doi
035
$a
978-3-031-07297-0
050
4
$a
Q342
072
7
$a
UYQ
$2
bicssc
072
7
$a
TEC009000
$2
bisacsh
072
7
$a
UYQ
$2
thema
082
0 4
$a
006.3
$2
23
245
1 0
$a
Optimization of Automated Software Testing Using Meta-Heuristic Techniques
$h
[electronic resource] /
$c
edited by Manju Khari, Deepti Bala Mishra, Biswaranjan Acharya, Ruben Gonzalez Crespo.
250
$a
1st ed. 2022.
264
1
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2022.
300
$a
X, 184 p. 64 illus., 51 illus. in color.
$b
online resource.
336
$a
text
$b
txt
$2
rdacontent
337
$a
computer
$b
c
$2
rdamedia
338
$a
online resource
$b
cr
$2
rdacarrier
347
$a
text file
$b
PDF
$2
rda
490
1
$a
EAI/Springer Innovations in Communication and Computing,
$x
2522-8609
505
0
$a
Introduction -- Testing Fundamentals -- Strategies and Methods For Test Cases -- Automated Testing Levels -- Polices and Plans for Testing -- Test Organization -- Controlling and Monitoring Testing Process -- Evaluating Automated Software Quality -- Defect Analysis and Prevention -- Optimization -- Security Testing -- Conclusion.
520
$a
This book provides awareness of different evolutionary methods used for automatic generation and optimization of test data in the field of software testing. While the book highlights on the foundations of software testing techniques, it also focuses on contemporary topics for research and development. This book covers the automated process of testing in different levels like unit level, integration level, performance level, evaluation of testing strategies, testing in security level, optimizing test cases using various algorithms, and controlling and monitoring the testing process etc. This book aids young researchers in the field of optimization of automated software testing, provides academics with knowledge on the emerging field of AI in software development, and supports universities, research centers, and industries in new projects using AI in software testing. Supports the advancement in the artificial intelligence used in software development; Advances knowledge on artificial intelligence based metaheuristic approach in software testing; Encourages innovation in traditional software testing field using recent artificial intelligence. · .
650
0
$a
Computational intelligence.
$3
568984
650
0
$a
Data mining.
$3
528622
650
0
$a
Engineering—Data processing.
$3
1297966
650
1 4
$a
Computational Intelligence.
$3
768837
650
2 4
$a
Data Mining and Knowledge Discovery.
$3
677765
650
2 4
$a
Data Engineering.
$3
1226308
700
1
$a
Khari, Manju.
$e
editor.
$4
edt
$4
http://id.loc.gov/vocabulary/relators/edt
$3
1307964
700
1
$a
Mishra, Deepti Bala.
$e
editor.
$4
edt
$4
http://id.loc.gov/vocabulary/relators/edt
$3
1389615
700
1
$a
Acharya, Biswaranjan.
$e
editor.
$4
edt
$4
http://id.loc.gov/vocabulary/relators/edt
$3
1387812
700
1
$a
Gonzalez Crespo, Ruben.
$e
editor.
$4
edt
$4
http://id.loc.gov/vocabulary/relators/edt
$3
1354832
710
2
$a
SpringerLink (Online service)
$3
593884
773
0
$t
Springer Nature eBook
776
0 8
$i
Printed edition:
$z
9783031072963
776
0 8
$i
Printed edition:
$z
9783031072987
776
0 8
$i
Printed edition:
$z
9783031072994
830
0
$a
EAI/Springer Innovations in Communication and Computing,
$x
2522-8595
$3
1288259
856
4 0
$u
https://doi.org/10.1007/978-3-031-07297-0
912
$a
ZDB-2-INR
912
$a
ZDB-2-SXIT
950
$a
Intelligent Technologies and Robotics (SpringerNature-42732)
950
$a
Intelligent Technologies and Robotics (R0) (SpringerNature-43728)
筆 0 讀者評論
多媒體
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
變更密碼[密碼必須為2種組合(英文和數字)及長度為10碼以上]
登入