Zobrazeno 1 - 10
of 88
pro vyhledávání: '"Fei-Ching Kuo"'
Autor:
TSONG YUEH CHEN1 tychen@swin.edu.au, FEI-CHING KUO1, HUAI LIU2 Huai.Liu@vu.edu.au, PAK-LOK POON3 paklok.poon@rmit.edu.au, TOWEY, DAVE4 Dave.Towey@nottingham.edu.cn, TSE, T. H.5 thtse@cs.hku.hk, ZHI QU AN ZHOU6 zhiquan@uow.edu.au
Publikováno v:
ACM Computing Surveys. Jan2019, Vol. 51 Issue 1, p1-27. 27p.
Publikováno v:
Journal of Systems and Software. 155:130-144
Parallel computing is one of mainstream techniques for high-performance computation in which MPI parallel programs have gained more and more attention. Genetic algorithms (GAs) have been widely employed in automated test data generation, leading to a
Publikováno v:
International Journal of Software Engineering and Knowledge Engineering. 28:1399-1428
As part of a software testing process, output verification poses a challenge when the output is not numeric or textual, such as graphical. The industry practice of using human oracles (testers) to observe and verify the correctness of the actual resu
Publikováno v:
IEEE Transactions on Reliability. 66:373-402
Random testing (RT) has been identified as one of the most popular testing techniques, due to its simplicity and ease of automation. Adaptive random testing (ART) has been proposed as an enhancement to RT, improving its fault-detection effectiveness
Publikováno v:
Journal of Systems and Software. 126:127-140
Test suite based automated program repair (APR) relies on a test oracle to determine the execution result of individual test cases. The applicability of APR techniques, therefore, is limited by the fact that test oracles may not exist. Metamorphic Te
Publikováno v:
ACM Transactions on Software Engineering and Methodology. 26:1-30
We report on the application of Genetic Programming to Software Fault Localisation, a problem in the area of Search-Based Software Engineering (SBSE). We give both empirical and theoretical evidence for the human competitiveness of the evolved fault
Publikováno v:
Information and Software Technology. 80:57-72
We show that there exists a trade-off between high rate of combination coverage and low switching cost.We comprehensively compare three single objective algorithms with hybrid and multi-objective algorithms in the presence of switching cost.We find t
Metamorphic testing is an approach to both test case generation and test result verification. A central element is a set of metamorphic relations, which are necessary properties of the target function or algorithm in relation to multiple inputs and t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b399473e89ce04fdd90c8d6a3da972fb
https://eprints.nottingham.ac.uk/51607/1/__MTChallOpporCSUR.accepted.20170922.pdf
https://eprints.nottingham.ac.uk/51607/1/__MTChallOpporCSUR.accepted.20170922.pdf
Publikováno v:
IEEE Transactions on Evolutionary Computation. 19:575-591
Software behavior depends on many factors. Combinatorial testing (CT) aims to generate small sets of test cases to uncover defects caused by those factors and their interactions. Covering array generation, a discrete optimization problem, is the most
Publikováno v:
Information and Software Technology. 62:198-213
Although ART can greatly enhance RT and t-way CT is better than ART and RT, normally in hitting t'-MFS:(1)There are only from 10% to 30% difference when t=t', see Figs. 6, 16, and 26.(2)The difference become quite smaller when t'