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
Search-Based Software Engineering = ...
~
Gay, Gregory.
Search-Based Software Engineering = 11th International Symposium, SSBSE 2019, Tallinn, Estonia, August 31 – September 1, 2019, Proceedings /
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Search-Based Software Engineering/ edited by Shiva Nejati, Gregory Gay.
其他題名:
11th International Symposium, SSBSE 2019, Tallinn, Estonia, August 31 – September 1, 2019, Proceedings /
其他作者:
Nejati, Shiva.
面頁冊數:
XIV, 191 p. 88 illus., 28 illus. in color.online resource. :
Contained By:
Springer Nature eBook
標題:
Software engineering. -
電子資源:
https://doi.org/10.1007/978-3-030-27455-9
ISBN:
9783030274559
Search-Based Software Engineering = 11th International Symposium, SSBSE 2019, Tallinn, Estonia, August 31 – September 1, 2019, Proceedings /
Search-Based Software Engineering
11th International Symposium, SSBSE 2019, Tallinn, Estonia, August 31 – September 1, 2019, Proceedings /[electronic resource] :edited by Shiva Nejati, Gregory Gay. - 1st ed. 2019. - XIV, 191 p. 88 illus., 28 illus. in color.online resource. - Programming and Software Engineering ;11664. - Programming and Software Engineering ;8987.
Search-Based Predictive Modelling for Software Engineering: How Far Have We Gone -- A Systematic Comparison of Search Algorithms for Topic Modelling -- A Study on Duplicate Bug Report Identification -- Constructing Search Spaces for SBST using Machine Learning -- A Review of Ten Years of the Symposium on Search-Based Software Engineering -- Does Diversity Improve the Test Suite Generation for Mobile Applications -- Detect Performance Regression by Combining Static and Dynamic metrics Using Evolutionary Algorithms -- General Program Synthesis using Guided Corpus Generation and Automatic Refactoring -- A Search-Based Approach to Generate MC/DC Test Data for OCL Constraints -- Bio-Inspired Optimization of Test Data Generation for Concurrent Programs -- Revisiting Hyper-Parameter Tuning for Search-based Software Testing -- Towards Automated Boundary Value Testing with Program Derivatives and Search -- Code Naturalness to Assist Search Space Exploration in Search-based Program Repair Methods -- Dorylus: An Ant Colony Based Tool for Automated Test Case Generation -- Software Improvement with Gin.
This book constitutes the refereed proceedings of the 11th International Symposium on Search-Based Software Engineering, SSBSE 2019, held in Tallinn, Estonia, in August/September 2019. The 9 research papers and 3 short papers presented together with 1 keynote and 1 challenge paper were carefully reviewed and selected from 28 submissions. SSBSE is a research area focused on the formulation of software engineering problems as search problems, and the subsequent use of complex heuristic techniques to attain optimal solutions to such problems. A wealth of engineering challenges - from test generation, to design refactoring, to process organization - can be solved efficiently through the application of automated optimization techniques. SBSE is a growing field - sitting at the crossroads between AI, machine learning, and software engineering - and SBSE techniques have begun to attain human-competitive results.
ISBN: 9783030274559
Standard No.: 10.1007/978-3-030-27455-9doiSubjects--Topical Terms:
562952
Software engineering.
LC Class. No.: QA76.758
Dewey Class. No.: 005.1
Search-Based Software Engineering = 11th International Symposium, SSBSE 2019, Tallinn, Estonia, August 31 – September 1, 2019, Proceedings /
LDR
:03511nam a22004095i 4500
001
1007033
003
DE-He213
005
20200703082924.0
007
cr nn 008mamaa
008
210106s2019 gw | s |||| 0|eng d
020
$a
9783030274559
$9
978-3-030-27455-9
024
7
$a
10.1007/978-3-030-27455-9
$2
doi
035
$a
978-3-030-27455-9
050
4
$a
QA76.758
072
7
$a
UMZ
$2
bicssc
072
7
$a
COM051230
$2
bisacsh
072
7
$a
UMZ
$2
thema
082
0 4
$a
005.1
$2
23
245
1 0
$a
Search-Based Software Engineering
$h
[electronic resource] :
$b
11th International Symposium, SSBSE 2019, Tallinn, Estonia, August 31 – September 1, 2019, Proceedings /
$c
edited by Shiva Nejati, Gregory Gay.
250
$a
1st ed. 2019.
264
1
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2019.
300
$a
XIV, 191 p. 88 illus., 28 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
Programming and Software Engineering ;
$v
11664
505
0
$a
Search-Based Predictive Modelling for Software Engineering: How Far Have We Gone -- A Systematic Comparison of Search Algorithms for Topic Modelling -- A Study on Duplicate Bug Report Identification -- Constructing Search Spaces for SBST using Machine Learning -- A Review of Ten Years of the Symposium on Search-Based Software Engineering -- Does Diversity Improve the Test Suite Generation for Mobile Applications -- Detect Performance Regression by Combining Static and Dynamic metrics Using Evolutionary Algorithms -- General Program Synthesis using Guided Corpus Generation and Automatic Refactoring -- A Search-Based Approach to Generate MC/DC Test Data for OCL Constraints -- Bio-Inspired Optimization of Test Data Generation for Concurrent Programs -- Revisiting Hyper-Parameter Tuning for Search-based Software Testing -- Towards Automated Boundary Value Testing with Program Derivatives and Search -- Code Naturalness to Assist Search Space Exploration in Search-based Program Repair Methods -- Dorylus: An Ant Colony Based Tool for Automated Test Case Generation -- Software Improvement with Gin.
520
$a
This book constitutes the refereed proceedings of the 11th International Symposium on Search-Based Software Engineering, SSBSE 2019, held in Tallinn, Estonia, in August/September 2019. The 9 research papers and 3 short papers presented together with 1 keynote and 1 challenge paper were carefully reviewed and selected from 28 submissions. SSBSE is a research area focused on the formulation of software engineering problems as search problems, and the subsequent use of complex heuristic techniques to attain optimal solutions to such problems. A wealth of engineering challenges - from test generation, to design refactoring, to process organization - can be solved efficiently through the application of automated optimization techniques. SBSE is a growing field - sitting at the crossroads between AI, machine learning, and software engineering - and SBSE techniques have begun to attain human-competitive results.
650
0
$a
Software engineering.
$3
562952
650
0
$a
Programming languages (Electronic computers).
$3
1127615
650
0
$a
Computer programming.
$3
527822
650
0
$a
Artificial intelligence.
$3
559380
650
0
$a
Algorithms.
$3
527865
650
1 4
$a
Software Engineering.
$3
669632
650
2 4
$a
Programming Languages, Compilers, Interpreters.
$3
669782
650
2 4
$a
Programming Techniques.
$3
669781
650
2 4
$a
Artificial Intelligence.
$3
646849
650
2 4
$a
Algorithm Analysis and Problem Complexity.
$3
593923
700
1
$a
Nejati, Shiva.
$e
editor.
$4
edt
$4
http://id.loc.gov/vocabulary/relators/edt
$3
1300723
700
1
$a
Gay, Gregory.
$e
editor.
$1
https://orcid.org/0000-0001-6794-9585
$4
edt
$4
http://id.loc.gov/vocabulary/relators/edt
$3
1300724
710
2
$a
SpringerLink (Online service)
$3
593884
773
0
$t
Springer Nature eBook
776
0 8
$i
Printed edition:
$z
9783030274542
776
0 8
$i
Printed edition:
$z
9783030274566
830
0
$a
Programming and Software Engineering ;
$v
8987
$3
1253476
856
4 0
$u
https://doi.org/10.1007/978-3-030-27455-9
912
$a
ZDB-2-SCS
912
$a
ZDB-2-SXCS
912
$a
ZDB-2-LNC
950
$a
Computer Science (SpringerNature-11645)
950
$a
Computer Science (R0) (SpringerNature-43710)
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