Zobrazeno 1 - 10
of 166
pro vyhledávání: '"T. H. Tse"'
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:
2022 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f305b1d421cfc4842938cf29d9670532
https://doi.org/10.1109/issrew55968.2022.00056
https://doi.org/10.1109/issrew55968.2022.00056
Publikováno v:
IEEE Transactions on Reliability. 70:654-675
Existing test case prioritization (TCP) techniques have limitations when applied to real-world projects, because these techniques require certain information to be made available before they can be applied. For example, the family of input-based TCP
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::84ce44c5d60ed902e86e0a409ebf8748
https://doi.org/10.1109/tr.2020.2979815
https://doi.org/10.1109/tr.2020.2979815
Publikováno v:
IEEE Transactions on Software Engineering. 47:1164-1183
We propose a robustness testing approach for software systems that process large amounts of data. Our method uses metamorphic relations to check software output for erroneous input in the absence of a tangible test oracle. We use this technique to te
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ed612ec96aa9664497897d8c0f78d074
https://doi.org/10.1109/tse.2019.2915065
https://doi.org/10.1109/tse.2019.2915065
Publikováno v:
IEEE Transactions on Reliability. 70:443-445
The papers in this special section focus on software testing and program analysis. Software plays an integral part in our lives today because of its near-ubiquitous influence on our increasingly technological society. Taking appropriate steps to impr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::578562579652fd10d11792527349f8b4
https://doi.org/10.1109/tr.2021.3083375
https://doi.org/10.1109/tr.2021.3083375
Autor:
Tsong Yueh Chen, T. H. Tse
Publikováno v:
ESEC/SIGSOFT FSE
Metamorphic testing (MT) was introduced about a quarter of a century ago. It is increasingly being accepted by researchers and the industry as a useful testing technique. The studies, research results, applications, and extensions of MT have given us
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cf83bc15421bf1106b83fbf4facdc490
https://doi.org/10.1145/3468264.3473136
https://doi.org/10.1145/3468264.3473136
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
Publikováno v:
QRS
Deep neural networks (DNNs) have been widely used in classification tasks. Studies have shown that DNNs may be fooled by artificial examples known as adversaries. A common technique for testing the robustness of a classification is to apply perturbat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dbff85244054111ad0dfcc5918e6c42f
https://doi.org/10.1109/qrs51102.2020.00059
https://doi.org/10.1109/qrs51102.2020.00059
Publikováno v:
COMPSAC
CUDA is a parallel computing platform and programming model for the graphics processing unit (GPU) of NVIDIA. With CUDA programming, general purpose computing on GPU (GPGPU) is possible. However, the correctness of CUDA programs relies on the correct
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ee2b5cdc9b775a9ea17aaa4d71d5fa0d
https://doi.org/10.1109/compsac48688.2020.0-156
https://doi.org/10.1109/compsac48688.2020.0-156
Publikováno v:
ICSE (Workshops)
Current research on the testing of machine translation software mainly focuses on functional correctness for valid, well-formed inputs. By contrast, robustness testing, which involves the ability of the software to handle erroneous or unanticipated i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::406b5d2df66cb4138b9270929345be73
https://doi.org/10.1145/3387940.3391484
https://doi.org/10.1145/3387940.3391484