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of 9
pro vyhledávání: '"Hilary Ackah-Arthur"'
Publikováno v:
IEEE Access, Vol 7, Pp 71038-71060 (2019)
Adaptive random testing (ART) is a software testing method which combines randomness with even distribution of test cases within the input domain of a program with the aim of improving the effectiveness of random testing (RT). It was established righ
Externí odkaz:
https://doaj.org/article/b2bcf0cb0428484ca22144e145a9063a
Publikováno v:
Tsinghua Science and Technology. 25:604-613
Developing secure software systems is a major challenge in the software industry due to errors or weaknesses that bring vulnerabilities to the software system. To address this challenge, researchers often use the source code features of vulnerabiliti
Autor:
Zhifeng Zeng, Yisong Liu, Zhang Qingchen, Minmin Zhou, Shujie Chen, Jinfu Chen, Hilary Ackah-Arthur
Publikováno v:
Wuhan University Journal of Natural Sciences. 24:149-160
With the rapid development of software technology, software vulnerability has become a major threat to computer security. The timely detection and repair of potential vulnerabilities in software, are of great significance in reducing system crashes a
Publikováno v:
IEEE Access, Vol 7, Pp 71038-71060 (2019)
Adaptive random testing (ART) is a software testing method which combines randomness with even distribution of test cases within the input domain of a program with the aim of improving the effectiveness of random testing (RT). It was established righ
Publikováno v:
IET Software. 12:489-497
A key objective of software testing is to find program errors that cause failure in software, at less cost. One basic testing technique is random testing (RT), but many researchers have criticised its failure-detection effectiveness. Several research
Autor:
Lili Zhu, Saihua Cai, Michael Omari, Rubing Huang, Dave Towey, Jinfu Chen, Hilary Ackah-Arthur
Publikováno v:
International Journal of Software Engineering and Knowledge Engineering. 27:1235-1268
The process of component security testing can produce massive amounts of monitor logs. Current approaches to detect implicit security exceptions (those which cannot be identified by visual inspection alone) compare correct execution sequences with fi
One goal of software testing may be the identification or generation of a series of test cases that can detect a fault with as few test executions as possible. Motivated by insights from research into failure-causing regions of input domains, the eve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d8ee06a4b67ee63eee67d6fb589c5e60
Publikováno v:
QRS
Mirror Adaptive random testing (MART) is an overhead reduction strategy for adaptive random testing methods. Theoretically speaking, MART's advantage over ordinary ARTs is determined by the mirroring scheme selected. Incidentally, an inherent problem
Autor:
Jinfu Chen, Hilary Ackah-Arthur, Saihua Cai, Rubing Huang, Zhibin Xie, Michael Omari, Lili Zhu
Publikováno v:
China Communications. 13:153-169
In the execution of method invocation sequences to test component security, abnormal or normal information is generated and recorded in a monitor log. By searching abnormal information from monitor log, the exceptions that the component has can be de