Zobrazeno 1 - 10
of 104
pro vyhledávání: '"Chengying Mao"'
Autor:
Jinfu Chen, Qihao Bao, T. H. Tse, Tsong Yueh Chen, Jiaxiang Xi, Chengying Mao, Minjie Yu, Rubing Huang
Publikováno v:
IEEE Access, Vol 8, Pp 52475-52488 (2020)
Adaptive random testing (ART) has been proposed to enhance the effectiveness of random testing (RT) through more even spreading of the test cases. In particular, restricted random testing (RRT) is an ART algorithm based on the intuition of skipping a
Externí odkaz:
https://doaj.org/article/7c2921c1693c49348cd713da4edd835b
Publikováno v:
IEEE Access, Vol 5, Pp 2187-2199 (2017)
Trustworthiness is an important indicator for service selection and recommendation in the cloud environment. However, predicting the trust rate of a cloud service based on its multifaceted quality of services (QoSs) is not an easy task due to the com
Externí odkaz:
https://doaj.org/article/4fcecb56ea6c406695c7504e2d5bd6c6
Autor:
Chengying Mao, Weisong Xiao
Publikováno v:
Complexity, Vol 2018 (2018)
In the era of big data, social network has become an important reflection of human communications and interactions on the Internet. Identifying the influential spreaders in networks plays a crucial role in various areas, such as disease outbreak, vir
Externí odkaz:
https://doaj.org/article/e159d6132c6241cc97a55257a45c4fef
Publikováno v:
IEEE Transactions on Emerging Topics in Computational Intelligence. 6:969-981
Publikováno v:
2022 9th International Conference on Dependable Systems and Their Applications (DSA).
Publikováno v:
Wireless Communications and Mobile Computing, Vol 2021 (2021)
With the rapid growth of 6G communication and smart sensor technology, the Internet of Things (IoT) has attracted much attention now. In the 6G-based IoT applications on the multiprocessor platform, the partitioned scheduling has been widely applied.
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
Publikováno v:
Knowledge-Based Systems. 259:110081
Publikováno v:
2021 IEEE 21st International Conference on Software Quality, Reliability and Security (QRS).
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.