Zobrazeno 1 - 5
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pro vyhledávání: '"Mohammad Rezaalipour"'
Autor:
Mohammad Rezaalipour, Carlo A. Furia
Publikováno v:
Journal of Systems and Software. 201:111669
As neural networks are increasingly included as core components of safety-critical systems, developing effective testing techniques specialized for them becomes crucial. The bulk of the research has focused on testing neural-network models; but these
Publikováno v:
IEEE Transactions on Computers. 69:868-882
Making approximate computing specific to user requirements is crucial to system performance, energy-efficiency, and reliability. However, developing hardware for such optimization becomes a significant challenge due to the high cost of examining all
Publikováno v:
Microelectronics Journal. 90:222-231
As transistors shrink down, improving the energy-efficiency of nanometer ICs has gained a great deal of attention. Recently, approximate computing has been introduced to address energy-efficiency problems of error-tolerant systems. Adders are the mos
Publikováno v:
Fundamentals of Software Engineering ISBN: 9783030315160
FSEN
FSEN
Software Debugging is a tedious and costly task in software development life-cycle. Thus, various automated fault localization approaches have been proposed to address this problem, among which, spectrum-based fault localization has attracted a lot o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::208ad7d1cecfb4fb25079b89ba753d8a
https://doi.org/10.1007/978-3-030-31517-7_17
https://doi.org/10.1007/978-3-030-31517-7_17
Publikováno v:
2018 8th International Conference on Computer and Knowledge Engineering (ICCKE).
Distance-aware Forgetting Fixed Size Candidate Set (DF-FSCS) is an Adaptive Random Testing (ART) technique, which lowers the computational overhead of Fixed Size Candidate Set ART (FSCS-ART), using a forgetting strategy. DF-FSCS partitions the input