An extensive study of class-level and method-level test case selection for continuous integration

Continuous Integration (CI) is an important practice in agile development. With the growth of integration system, running all tests to verify the quality of submitted code, is clearly uneconomical. This paper aims at selecting a proper test subset for continuous integration so as to reduce test cost...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Li, Yingling [verfasserIn] Wang, Junjie [verfasserIn] Yang, Yun [verfasserIn] Wang, Qing [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2020

Schlagwörter:	Continuous integration Test case selection Program dependencies Class-level test case selection Method-level test case selection Dynamic execution rules

Übergeordnetes Werk:	Enthalten in: The journal of systems and software - Amsterdam [u.a.] : Elsevier, 1979, 167
Übergeordnetes Werk:	volume:167

DOI / URN:	10.1016/j.jss.2020.110614

Katalog-ID:	ELV004231651

Internformat


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245	1	0	\|a An extensive study of class-level and method-level test case selection for continuous integration
264		1	\|c 2020
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337			\|a Computermedien \|b c \|2 rdamedia
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520			\|a Continuous Integration (CI) is an important practice in agile development. With the growth of integration system, running all tests to verify the quality of submitted code, is clearly uneconomical. This paper aims at selecting a proper test subset for continuous integration so as to reduce test cost as much as possible without sacrificing quality. We first propose a static test case selection framework Sapient which aims at selecting a precise test subset towards fully covering all changed code and affected code. There are four major steps: locate changes, build dependency graphs, identify related tests by searching dependency graphs, and extend tests. Based on Sapient, we then develop a class-level test case selection approach FEST and a method-level approach MEST. FEST captures the class-level dependencies, especially the hidden references, which facilitates the modeling of full dependency relations at the class level. MEST combines two dynamic execution rules (i.e., dynamic invocation in reflection and dynamic binding in inheritance) with static dependencies to support building the precise method-level dependencies. Evaluation is conducted on 18 open source projects with 261 continuous integration versions from Eclipse and Apache communities. Results show that both FEST and MEST can detect almost all faults of two baselines (i.e., actual CI testing and ClassSRTS), and find new faults compared with actual CI testing (in 25% and 26% versions) and ClassSRTS (in 18% and 27% versions) respectively. Furthermore, MEST outperforms FEST in reduced test size, fault detection efficiency and test cost, indicating method-level test case selection can be more effective than class-level selection. This study can further speed up the feedback and improve the fault detection efficiency of CI testing, and has good application prospects for the CI testing in large-scale and complex systems.
650		4	\|a Continuous integration
650		4	\|a Test case selection
650		4	\|a Program dependencies
650		4	\|a Class-level test case selection
650		4	\|a Method-level test case selection
650		4	\|a Dynamic execution rules
700	1		\|a Wang, Junjie \|e verfasserin \|4 aut
700	1		\|a Yang, Yun \|e verfasserin \|4 aut
700	1		\|a Wang, Qing \|e verfasserin \|4 aut
773	0	8	\|i Enthalten in \|t The journal of systems and software \|d Amsterdam [u.a.] : Elsevier, 1979 \|g 167 \|h Online-Ressource \|w (DE-627)316226858 \|w (DE-600)1499749-6 \|w (DE-576)081954395 \|x 0164-1212 \|7 nnns
773	1	8	\|g volume:167
912			\|a GBV_USEFLAG_U
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912			\|a GBV_ILN_22
912			\|a GBV_ILN_23
912			\|a GBV_ILN_24
912			\|a GBV_ILN_31
912			\|a GBV_ILN_32
912			\|a GBV_ILN_40
912			\|a GBV_ILN_60
912			\|a GBV_ILN_62
912			\|a GBV_ILN_63
912			\|a GBV_ILN_65
912			\|a GBV_ILN_69
912			\|a GBV_ILN_70
912			\|a GBV_ILN_73
912			\|a GBV_ILN_74
912			\|a GBV_ILN_90
912			\|a GBV_ILN_95
912			\|a GBV_ILN_100
912			\|a GBV_ILN_101
912			\|a GBV_ILN_105
912			\|a GBV_ILN_110
912			\|a GBV_ILN_150
912			\|a GBV_ILN_151
912			\|a GBV_ILN_224
912			\|a GBV_ILN_370
912			\|a GBV_ILN_602
912			\|a GBV_ILN_702
912			\|a GBV_ILN_2003
912			\|a GBV_ILN_2004
912			\|a GBV_ILN_2005
912			\|a GBV_ILN_2006
912			\|a GBV_ILN_2008
912			\|a GBV_ILN_2010
912			\|a GBV_ILN_2011
912			\|a GBV_ILN_2014
912			\|a GBV_ILN_2015
912			\|a GBV_ILN_2020
912			\|a GBV_ILN_2021
912			\|a GBV_ILN_2025
912			\|a GBV_ILN_2027
912			\|a GBV_ILN_2034
912			\|a GBV_ILN_2038
912			\|a GBV_ILN_2044
912			\|a GBV_ILN_2048
912			\|a GBV_ILN_2049
912			\|a GBV_ILN_2050
912			\|a GBV_ILN_2056
912			\|a GBV_ILN_2059
912			\|a GBV_ILN_2061
912			\|a GBV_ILN_2064
912			\|a GBV_ILN_2065
912			\|a GBV_ILN_2068
912			\|a GBV_ILN_2088
912			\|a GBV_ILN_2111
912			\|a GBV_ILN_2112
912			\|a GBV_ILN_2113
912			\|a GBV_ILN_2118
912			\|a GBV_ILN_2122
912			\|a GBV_ILN_2129
912			\|a GBV_ILN_2143
912			\|a GBV_ILN_2147
912			\|a GBV_ILN_2148
912			\|a GBV_ILN_2152
912			\|a GBV_ILN_2153
912			\|a GBV_ILN_2190
912			\|a GBV_ILN_2336
912			\|a GBV_ILN_2470
912			\|a GBV_ILN_2507
912			\|a GBV_ILN_2522
912			\|a GBV_ILN_4035
912			\|a GBV_ILN_4037
912			\|a GBV_ILN_4046
912			\|a GBV_ILN_4112
912			\|a GBV_ILN_4125
912			\|a GBV_ILN_4126
912			\|a GBV_ILN_4242
912			\|a GBV_ILN_4251
912			\|a GBV_ILN_4305
912			\|a GBV_ILN_4313
912			\|a GBV_ILN_4322
912			\|a GBV_ILN_4323
912			\|a GBV_ILN_4324
912			\|a GBV_ILN_4325
912			\|a GBV_ILN_4326
912			\|a GBV_ILN_4333
912			\|a GBV_ILN_4334
912			\|a GBV_ILN_4335
912			\|a GBV_ILN_4338
912			\|a GBV_ILN_4393
936	b	k	\|a 54.52 \|j Software engineering
951			\|a AR
952			\|d 167

Indexfelder

author_variant	y l yl j w jw y y yy q w qw
matchkey_str	article:01641212:2020----::nxesvsuyflslvlnmtolvletaeeetof
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bklnumber	54.52
publishDate	2020
allfields	10.1016/j.jss.2020.110614 doi (DE-627)ELV004231651 (ELSEVIER)S0164-1212(20)30092-3 DE-627 ger DE-627 rda eng 004 DE-600 54.52 bkl Li, Yingling verfasserin aut An extensive study of class-level and method-level test case selection for continuous integration 2020 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Continuous Integration (CI) is an important practice in agile development. With the growth of integration system, running all tests to verify the quality of submitted code, is clearly uneconomical. This paper aims at selecting a proper test subset for continuous integration so as to reduce test cost as much as possible without sacrificing quality. We first propose a static test case selection framework Sapient which aims at selecting a precise test subset towards fully covering all changed code and affected code. There are four major steps: locate changes, build dependency graphs, identify related tests by searching dependency graphs, and extend tests. Based on Sapient, we then develop a class-level test case selection approach FEST and a method-level approach MEST. FEST captures the class-level dependencies, especially the hidden references, which facilitates the modeling of full dependency relations at the class level. MEST combines two dynamic execution rules (i.e., dynamic invocation in reflection and dynamic binding in inheritance) with static dependencies to support building the precise method-level dependencies. Evaluation is conducted on 18 open source projects with 261 continuous integration versions from Eclipse and Apache communities. Results show that both FEST and MEST can detect almost all faults of two baselines (i.e., actual CI testing and ClassSRTS), and find new faults compared with actual CI testing (in 25% and 26% versions) and ClassSRTS (in 18% and 27% versions) respectively. Furthermore, MEST outperforms FEST in reduced test size, fault detection efficiency and test cost, indicating method-level test case selection can be more effective than class-level selection. This study can further speed up the feedback and improve the fault detection efficiency of CI testing, and has good application prospects for the CI testing in large-scale and complex systems. Continuous integration Test case selection Program dependencies Class-level test case selection Method-level test case selection Dynamic execution rules Wang, Junjie verfasserin aut Yang, Yun verfasserin aut Wang, Qing verfasserin aut Enthalten in The journal of systems and software Amsterdam [u.a.] : Elsevier, 1979 167 Online-Ressource (DE-627)316226858 (DE-600)1499749-6 (DE-576)081954395 0164-1212 nnns volume:167 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 54.52 Software engineering AR 167
spelling	10.1016/j.jss.2020.110614 doi (DE-627)ELV004231651 (ELSEVIER)S0164-1212(20)30092-3 DE-627 ger DE-627 rda eng 004 DE-600 54.52 bkl Li, Yingling verfasserin aut An extensive study of class-level and method-level test case selection for continuous integration 2020 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Continuous Integration (CI) is an important practice in agile development. With the growth of integration system, running all tests to verify the quality of submitted code, is clearly uneconomical. This paper aims at selecting a proper test subset for continuous integration so as to reduce test cost as much as possible without sacrificing quality. We first propose a static test case selection framework Sapient which aims at selecting a precise test subset towards fully covering all changed code and affected code. There are four major steps: locate changes, build dependency graphs, identify related tests by searching dependency graphs, and extend tests. Based on Sapient, we then develop a class-level test case selection approach FEST and a method-level approach MEST. FEST captures the class-level dependencies, especially the hidden references, which facilitates the modeling of full dependency relations at the class level. MEST combines two dynamic execution rules (i.e., dynamic invocation in reflection and dynamic binding in inheritance) with static dependencies to support building the precise method-level dependencies. Evaluation is conducted on 18 open source projects with 261 continuous integration versions from Eclipse and Apache communities. Results show that both FEST and MEST can detect almost all faults of two baselines (i.e., actual CI testing and ClassSRTS), and find new faults compared with actual CI testing (in 25% and 26% versions) and ClassSRTS (in 18% and 27% versions) respectively. Furthermore, MEST outperforms FEST in reduced test size, fault detection efficiency and test cost, indicating method-level test case selection can be more effective than class-level selection. This study can further speed up the feedback and improve the fault detection efficiency of CI testing, and has good application prospects for the CI testing in large-scale and complex systems. Continuous integration Test case selection Program dependencies Class-level test case selection Method-level test case selection Dynamic execution rules Wang, Junjie verfasserin aut Yang, Yun verfasserin aut Wang, Qing verfasserin aut Enthalten in The journal of systems and software Amsterdam [u.a.] : Elsevier, 1979 167 Online-Ressource (DE-627)316226858 (DE-600)1499749-6 (DE-576)081954395 0164-1212 nnns volume:167 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 54.52 Software engineering AR 167
allfields_unstemmed	10.1016/j.jss.2020.110614 doi (DE-627)ELV004231651 (ELSEVIER)S0164-1212(20)30092-3 DE-627 ger DE-627 rda eng 004 DE-600 54.52 bkl Li, Yingling verfasserin aut An extensive study of class-level and method-level test case selection for continuous integration 2020 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Continuous Integration (CI) is an important practice in agile development. With the growth of integration system, running all tests to verify the quality of submitted code, is clearly uneconomical. This paper aims at selecting a proper test subset for continuous integration so as to reduce test cost as much as possible without sacrificing quality. We first propose a static test case selection framework Sapient which aims at selecting a precise test subset towards fully covering all changed code and affected code. There are four major steps: locate changes, build dependency graphs, identify related tests by searching dependency graphs, and extend tests. Based on Sapient, we then develop a class-level test case selection approach FEST and a method-level approach MEST. FEST captures the class-level dependencies, especially the hidden references, which facilitates the modeling of full dependency relations at the class level. MEST combines two dynamic execution rules (i.e., dynamic invocation in reflection and dynamic binding in inheritance) with static dependencies to support building the precise method-level dependencies. Evaluation is conducted on 18 open source projects with 261 continuous integration versions from Eclipse and Apache communities. Results show that both FEST and MEST can detect almost all faults of two baselines (i.e., actual CI testing and ClassSRTS), and find new faults compared with actual CI testing (in 25% and 26% versions) and ClassSRTS (in 18% and 27% versions) respectively. Furthermore, MEST outperforms FEST in reduced test size, fault detection efficiency and test cost, indicating method-level test case selection can be more effective than class-level selection. This study can further speed up the feedback and improve the fault detection efficiency of CI testing, and has good application prospects for the CI testing in large-scale and complex systems. Continuous integration Test case selection Program dependencies Class-level test case selection Method-level test case selection Dynamic execution rules Wang, Junjie verfasserin aut Yang, Yun verfasserin aut Wang, Qing verfasserin aut Enthalten in The journal of systems and software Amsterdam [u.a.] : Elsevier, 1979 167 Online-Ressource (DE-627)316226858 (DE-600)1499749-6 (DE-576)081954395 0164-1212 nnns volume:167 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 54.52 Software engineering AR 167
allfieldsGer	10.1016/j.jss.2020.110614 doi (DE-627)ELV004231651 (ELSEVIER)S0164-1212(20)30092-3 DE-627 ger DE-627 rda eng 004 DE-600 54.52 bkl Li, Yingling verfasserin aut An extensive study of class-level and method-level test case selection for continuous integration 2020 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Continuous Integration (CI) is an important practice in agile development. With the growth of integration system, running all tests to verify the quality of submitted code, is clearly uneconomical. This paper aims at selecting a proper test subset for continuous integration so as to reduce test cost as much as possible without sacrificing quality. We first propose a static test case selection framework Sapient which aims at selecting a precise test subset towards fully covering all changed code and affected code. There are four major steps: locate changes, build dependency graphs, identify related tests by searching dependency graphs, and extend tests. Based on Sapient, we then develop a class-level test case selection approach FEST and a method-level approach MEST. FEST captures the class-level dependencies, especially the hidden references, which facilitates the modeling of full dependency relations at the class level. MEST combines two dynamic execution rules (i.e., dynamic invocation in reflection and dynamic binding in inheritance) with static dependencies to support building the precise method-level dependencies. Evaluation is conducted on 18 open source projects with 261 continuous integration versions from Eclipse and Apache communities. Results show that both FEST and MEST can detect almost all faults of two baselines (i.e., actual CI testing and ClassSRTS), and find new faults compared with actual CI testing (in 25% and 26% versions) and ClassSRTS (in 18% and 27% versions) respectively. Furthermore, MEST outperforms FEST in reduced test size, fault detection efficiency and test cost, indicating method-level test case selection can be more effective than class-level selection. This study can further speed up the feedback and improve the fault detection efficiency of CI testing, and has good application prospects for the CI testing in large-scale and complex systems. Continuous integration Test case selection Program dependencies Class-level test case selection Method-level test case selection Dynamic execution rules Wang, Junjie verfasserin aut Yang, Yun verfasserin aut Wang, Qing verfasserin aut Enthalten in The journal of systems and software Amsterdam [u.a.] : Elsevier, 1979 167 Online-Ressource (DE-627)316226858 (DE-600)1499749-6 (DE-576)081954395 0164-1212 nnns volume:167 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 54.52 Software engineering AR 167
allfieldsSound	10.1016/j.jss.2020.110614 doi (DE-627)ELV004231651 (ELSEVIER)S0164-1212(20)30092-3 DE-627 ger DE-627 rda eng 004 DE-600 54.52 bkl Li, Yingling verfasserin aut An extensive study of class-level and method-level test case selection for continuous integration 2020 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Continuous Integration (CI) is an important practice in agile development. With the growth of integration system, running all tests to verify the quality of submitted code, is clearly uneconomical. This paper aims at selecting a proper test subset for continuous integration so as to reduce test cost as much as possible without sacrificing quality. We first propose a static test case selection framework Sapient which aims at selecting a precise test subset towards fully covering all changed code and affected code. There are four major steps: locate changes, build dependency graphs, identify related tests by searching dependency graphs, and extend tests. Based on Sapient, we then develop a class-level test case selection approach FEST and a method-level approach MEST. FEST captures the class-level dependencies, especially the hidden references, which facilitates the modeling of full dependency relations at the class level. MEST combines two dynamic execution rules (i.e., dynamic invocation in reflection and dynamic binding in inheritance) with static dependencies to support building the precise method-level dependencies. Evaluation is conducted on 18 open source projects with 261 continuous integration versions from Eclipse and Apache communities. Results show that both FEST and MEST can detect almost all faults of two baselines (i.e., actual CI testing and ClassSRTS), and find new faults compared with actual CI testing (in 25% and 26% versions) and ClassSRTS (in 18% and 27% versions) respectively. Furthermore, MEST outperforms FEST in reduced test size, fault detection efficiency and test cost, indicating method-level test case selection can be more effective than class-level selection. This study can further speed up the feedback and improve the fault detection efficiency of CI testing, and has good application prospects for the CI testing in large-scale and complex systems. Continuous integration Test case selection Program dependencies Class-level test case selection Method-level test case selection Dynamic execution rules Wang, Junjie verfasserin aut Yang, Yun verfasserin aut Wang, Qing verfasserin aut Enthalten in The journal of systems and software Amsterdam [u.a.] : Elsevier, 1979 167 Online-Ressource (DE-627)316226858 (DE-600)1499749-6 (DE-576)081954395 0164-1212 nnns volume:167 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 54.52 Software engineering AR 167
language	English
source	Enthalten in The journal of systems and software 167 volume:167
sourceStr	Enthalten in The journal of systems and software 167 volume:167
format_phy_str_mv	Article
bklname	Software engineering
institution	findex.gbv.de
topic_facet	Continuous integration Test case selection Program dependencies Class-level test case selection Method-level test case selection Dynamic execution rules
dewey-raw	004
isfreeaccess_bool	false
container_title	The journal of systems and software
authorswithroles_txt_mv	Li, Yingling @@aut@@ Wang, Junjie @@aut@@ Yang, Yun @@aut@@ Wang, Qing @@aut@@
publishDateDaySort_date	2020-01-01T00:00:00Z
hierarchy_top_id	316226858
dewey-sort	14
id	ELV004231651
language_de	englisch
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author	Li, Yingling
spellingShingle	Li, Yingling ddc 004 bkl 54.52 misc Continuous integration misc Test case selection misc Program dependencies misc Class-level test case selection misc Method-level test case selection misc Dynamic execution rules An extensive study of class-level and method-level test case selection for continuous integration
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topic_title	004 DE-600 54.52 bkl An extensive study of class-level and method-level test case selection for continuous integration Continuous integration Test case selection Program dependencies Class-level test case selection Method-level test case selection Dynamic execution rules
topic	ddc 004 bkl 54.52 misc Continuous integration misc Test case selection misc Program dependencies misc Class-level test case selection misc Method-level test case selection misc Dynamic execution rules
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title	An extensive study of class-level and method-level test case selection for continuous integration
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title_full	An extensive study of class-level and method-level test case selection for continuous integration
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title_sort	an extensive study of class-level and method-level test case selection for continuous integration
title_auth	An extensive study of class-level and method-level test case selection for continuous integration
abstract	Continuous Integration (CI) is an important practice in agile development. With the growth of integration system, running all tests to verify the quality of submitted code, is clearly uneconomical. This paper aims at selecting a proper test subset for continuous integration so as to reduce test cost as much as possible without sacrificing quality. We first propose a static test case selection framework Sapient which aims at selecting a precise test subset towards fully covering all changed code and affected code. There are four major steps: locate changes, build dependency graphs, identify related tests by searching dependency graphs, and extend tests. Based on Sapient, we then develop a class-level test case selection approach FEST and a method-level approach MEST. FEST captures the class-level dependencies, especially the hidden references, which facilitates the modeling of full dependency relations at the class level. MEST combines two dynamic execution rules (i.e., dynamic invocation in reflection and dynamic binding in inheritance) with static dependencies to support building the precise method-level dependencies. Evaluation is conducted on 18 open source projects with 261 continuous integration versions from Eclipse and Apache communities. Results show that both FEST and MEST can detect almost all faults of two baselines (i.e., actual CI testing and ClassSRTS), and find new faults compared with actual CI testing (in 25% and 26% versions) and ClassSRTS (in 18% and 27% versions) respectively. Furthermore, MEST outperforms FEST in reduced test size, fault detection efficiency and test cost, indicating method-level test case selection can be more effective than class-level selection. This study can further speed up the feedback and improve the fault detection efficiency of CI testing, and has good application prospects for the CI testing in large-scale and complex systems.
abstractGer	Continuous Integration (CI) is an important practice in agile development. With the growth of integration system, running all tests to verify the quality of submitted code, is clearly uneconomical. This paper aims at selecting a proper test subset for continuous integration so as to reduce test cost as much as possible without sacrificing quality. We first propose a static test case selection framework Sapient which aims at selecting a precise test subset towards fully covering all changed code and affected code. There are four major steps: locate changes, build dependency graphs, identify related tests by searching dependency graphs, and extend tests. Based on Sapient, we then develop a class-level test case selection approach FEST and a method-level approach MEST. FEST captures the class-level dependencies, especially the hidden references, which facilitates the modeling of full dependency relations at the class level. MEST combines two dynamic execution rules (i.e., dynamic invocation in reflection and dynamic binding in inheritance) with static dependencies to support building the precise method-level dependencies. Evaluation is conducted on 18 open source projects with 261 continuous integration versions from Eclipse and Apache communities. Results show that both FEST and MEST can detect almost all faults of two baselines (i.e., actual CI testing and ClassSRTS), and find new faults compared with actual CI testing (in 25% and 26% versions) and ClassSRTS (in 18% and 27% versions) respectively. Furthermore, MEST outperforms FEST in reduced test size, fault detection efficiency and test cost, indicating method-level test case selection can be more effective than class-level selection. This study can further speed up the feedback and improve the fault detection efficiency of CI testing, and has good application prospects for the CI testing in large-scale and complex systems.
abstract_unstemmed	Continuous Integration (CI) is an important practice in agile development. With the growth of integration system, running all tests to verify the quality of submitted code, is clearly uneconomical. This paper aims at selecting a proper test subset for continuous integration so as to reduce test cost as much as possible without sacrificing quality. We first propose a static test case selection framework Sapient which aims at selecting a precise test subset towards fully covering all changed code and affected code. There are four major steps: locate changes, build dependency graphs, identify related tests by searching dependency graphs, and extend tests. Based on Sapient, we then develop a class-level test case selection approach FEST and a method-level approach MEST. FEST captures the class-level dependencies, especially the hidden references, which facilitates the modeling of full dependency relations at the class level. MEST combines two dynamic execution rules (i.e., dynamic invocation in reflection and dynamic binding in inheritance) with static dependencies to support building the precise method-level dependencies. Evaluation is conducted on 18 open source projects with 261 continuous integration versions from Eclipse and Apache communities. Results show that both FEST and MEST can detect almost all faults of two baselines (i.e., actual CI testing and ClassSRTS), and find new faults compared with actual CI testing (in 25% and 26% versions) and ClassSRTS (in 18% and 27% versions) respectively. Furthermore, MEST outperforms FEST in reduced test size, fault detection efficiency and test cost, indicating method-level test case selection can be more effective than class-level selection. This study can further speed up the feedback and improve the fault detection efficiency of CI testing, and has good application prospects for the CI testing in large-scale and complex systems.
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title_short	An extensive study of class-level and method-level test case selection for continuous integration
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up_date	2024-07-06T22:17:46.052Z
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