Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Xuzheng Zhan"'
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:
IEEE Transactions on Reliability. 68:1444-1469
Adaptive random testing (ART) was developed as an enhanced version of random testing to increase the effectiveness of detecting failures in programs by spreading the test cases evenly over the input space. However, heavy computation may be incurred.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d6951628f41b9a348cf48dd8855f7b33
https://doi.org/10.1109/tr.2019.2892230
https://doi.org/10.1109/tr.2019.2892230
Autor:
Xuzheng Zhan, Chengying Mao
Publikováno v:
APSEC
Bisection-based adaptive random testing (B-ART) is a lightweight method for test case generation. However, its failure detection effectiveness is not so ideal. In this paper, two strategies are designed to overcome the disadvantage as above. The firs
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::618c84ee13f0f067a406cac4551f0e9e
https://doi.org/10.1109/apsec.2017.86
https://doi.org/10.1109/apsec.2017.86
Publikováno v:
IEEE Transactions on Reliability; Dec2019, Vol. 68 Issue 4, p1444-1469, 26p