語系:
繁體中文
English
說明(常見問題)
回圖書館首頁
手機版館藏查詢
登入
回首頁
到查詢結果
[ subject:"Computer software- Testing" ]
切換:
標籤
|
MARC模式
|
ISBD
Software testing automation = testab...
~
Parsa, Saeed.
FindBook
Google Book
Amazon
博客來
Software testing automation = testability evaluation, refactoring, test data generation and fault localization /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Software testing automation/ by Saeed Parsa.
其他題名:
testability evaluation, refactoring, test data generation and fault localization /
作者:
Parsa, Saeed.
出版者:
Cham :Springer International Publishing : : 2023.,
面頁冊數:
xxiv, 580 p. :ill. (chiefly col.), digital ;24 cm.
內容註:
Software Testability -- Unit testing and Test-Driven Development -- Acceptance Testing and Behavior Driven Development.
Contained By:
Springer Nature eBook
標題:
Computer software - Testing -
電子資源:
https://doi.org/10.1007/978-3-031-22057-9
ISBN:
9783031220579
Software testing automation = testability evaluation, refactoring, test data generation and fault localization /
Parsa, Saeed.
Software testing automation
testability evaluation, refactoring, test data generation and fault localization /[electronic resource] :by Saeed Parsa. - Cham :Springer International Publishing :2023. - xxiv, 580 p. :ill. (chiefly col.), digital ;24 cm.
Software Testability -- Unit testing and Test-Driven Development -- Acceptance Testing and Behavior Driven Development.
This book is about the design and development of tools for software testing. It intends to get the reader involved in software testing rather than simply memorizing the concepts. The source codes are downloadable from the book website. The book has three parts: software testability, fault localization, and test data generation. Part I describes unit and acceptance tests and proposes a new method called testability-driven development (TsDD) in support of TDD and BDD. TsDD uses a machine learning model to measure testability before and after refactoring. The reader will learn how to develop the testability prediction model and write software tools for automatic refactoring. Part II focuses on developing tools for automatic fault localization. This part shows the reader how to use a compiler generator to instrument source code, create control flow graphs, identify prime paths, and slice the source code. On top of these tools, a software tool, Diagnoser, is offered to facilitate experimenting with and developing new fault localization algorithms. Diagnoser takes a source code and its test suite as input and reports the coverage provided by the test cases and the suspiciousness score for each statement. Part III proposes using software testing as a prominent part of the cyber-physical system software to uncover and model unknown physical behaviors and the underlying physical rules. The reader will get insights into developing software tools to generate white box test data.
ISBN: 9783031220579
Standard No.: 10.1007/978-3-031-22057-9doiSubjects--Topical Terms:
1581330
Computer software
--Testing
LC Class. No.: QA76.76.T48
Dewey Class. No.: 005.14
Software testing automation = testability evaluation, refactoring, test data generation and fault localization /
LDR
:02648nmm a2200325 a 4500
001
2316968
003
DE-He213
005
20230324161958.0
006
m d
007
cr nn 008maaau
008
230902s2023 sz s 0 eng d
020
$a
9783031220579
$q
(electronic bk.)
020
$a
9783031220562
$q
(paper)
024
7
$a
10.1007/978-3-031-22057-9
$2
doi
035
$a
978-3-031-22057-9
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
QA76.76.T48
072
7
$a
UN
$2
bicssc
072
7
$a
COM018000
$2
bisacsh
072
7
$a
UN
$2
thema
082
0 4
$a
005.14
$2
23
090
$a
QA76.76.T48
$b
P266 2023
100
1
$a
Parsa, Saeed.
$3
3630619
245
1 0
$a
Software testing automation
$h
[electronic resource] :
$b
testability evaluation, refactoring, test data generation and fault localization /
$c
by Saeed Parsa.
260
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2023.
300
$a
xxiv, 580 p. :
$b
ill. (chiefly col.), digital ;
$c
24 cm.
505
0
$a
Software Testability -- Unit testing and Test-Driven Development -- Acceptance Testing and Behavior Driven Development.
520
$a
This book is about the design and development of tools for software testing. It intends to get the reader involved in software testing rather than simply memorizing the concepts. The source codes are downloadable from the book website. The book has three parts: software testability, fault localization, and test data generation. Part I describes unit and acceptance tests and proposes a new method called testability-driven development (TsDD) in support of TDD and BDD. TsDD uses a machine learning model to measure testability before and after refactoring. The reader will learn how to develop the testability prediction model and write software tools for automatic refactoring. Part II focuses on developing tools for automatic fault localization. This part shows the reader how to use a compiler generator to instrument source code, create control flow graphs, identify prime paths, and slice the source code. On top of these tools, a software tool, Diagnoser, is offered to facilitate experimenting with and developing new fault localization algorithms. Diagnoser takes a source code and its test suite as input and reports the coverage provided by the test cases and the suspiciousness score for each statement. Part III proposes using software testing as a prominent part of the cyber-physical system software to uncover and model unknown physical behaviors and the underlying physical rules. The reader will get insights into developing software tools to generate white box test data.
650
0
$a
Computer software
$x
Testing
$x
Automation.
$3
1581330
650
1 4
$a
Data Engineering.
$3
3409361
650
2 4
$a
Software Engineering.
$3
890874
710
2
$a
SpringerLink (Online service)
$3
836513
773
0
$t
Springer Nature eBook
856
4 0
$u
https://doi.org/10.1007/978-3-031-22057-9
950
$a
Computer Science (SpringerNature-11645)
筆 0 讀者評論
館藏地:
全部
電子資源
出版年:
卷號:
館藏
1 筆 • 頁數 1 •
1
條碼號
典藏地名稱
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
W9453218
電子資源
11.線上閱覽_V
電子書
EB QA76.76.T48
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
評論
新增評論
分享你的心得
Export
取書館
處理中
...
變更密碼
登入