Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Jifu Chen"'
Publikováno v:
IET Software. 14:493-505
Adaptive random testing (ART) achieves better failure-detection effectiveness than random testing due to its even spreading of test cases. ART by random partitioning (RP-ART) is a lightweight method, but its advantage over random testing is relativel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e543a532d4488546f79a6393eac7b218
https://doi.org/10.1049/iet-sen.2019.0325
https://doi.org/10.1049/iet-sen.2019.0325
Publikováno v:
Knowledge-Based Systems. 259:110081
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4074c00b9ce565fd67aa01b31b4d52fd
https://doi.org/10.1016/j.knosys.2022.110081
https://doi.org/10.1016/j.knosys.2022.110081
Publikováno v:
Expert Systems with Applications. 168:114390
Cloud services have become a popular and flexible solution for providing components to build service-based systems. A component’s trustworthiness is a key measure that can guide service requesters when making a service selection decision. Predictio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bdbb7dc795fbe65f2e8370283fcf838f
https://doi.org/10.1016/j.eswa.2020.114390
https://doi.org/10.1016/j.eswa.2020.114390
Publikováno v:
Future Generation Computer Systems. 50:111-126
Unlike traditional quality of service (QoS) value prediction, QoS ranking prediction examines the order of services under consideration for a particular user. To address this NP-Complete problem, greedy strategy-based solutions, such as CloudRank alg
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::efc7479c8463cd31b5400c36d0f3b0c2
https://doi.org/10.1016/j.future.2015.01.008
https://doi.org/10.1016/j.future.2015.01.008
Publikováno v:
ICEBE
In recent years, quite a few search algorithms have been used to solve Web service composition problem. However, it is still lack of systematic analysis about these methods. In the paper, we attempt to analyze the effect of three typical meta-heurist
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::107f8ce1e3360ec4985882d243817355
https://doi.org/10.1109/icebe.2012.27
https://doi.org/10.1109/icebe.2012.27
Publikováno v:
QSIC
Software testing has been always viewed as an effective way to ensure software quality both in academic and industry. In fact, the quality of test data set plays a critical role in the success of software testing activity. According to the basic line
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d7b057aee62b1d4d286ae977c720c0a1
https://doi.org/10.1109/qsic.2012.12
https://doi.org/10.1109/qsic.2012.12
Publikováno v:
ACIS-ICIS
Automated generation of test data has always been a challenging problem in the area of software testing. Recently, meta-heuristic search (MHS) techniques have been proven to be a powerful tool to solve this difficulty. In the paper, we introduce an u
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e468f43a0737e063109368e136b797bc
https://doi.org/10.1109/icis.2012.103
https://doi.org/10.1109/icis.2012.103
Autor:
Chengying Mao, Jifu Chen
Publikováno v:
Informatica (03505596); Jun2013, Vol. 37 Issue 2, p139-148, 10p