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KIPS Transactions on Software and Data Engineering
Article . 2016 . Peer-reviewed
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KIPS Transactions on Software and Data Engineering
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https://dx.doi.org/10.3745/kts...
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Test Case Generation for Simulink/Stateflow Model Based on a Modified Rapidly Exploring Random Tree Algorithm

변형된 RRT 알고리즘 기반 Simulink/Stateflow 모델 테스트 케이스 생성
descriptionPublicationkeyboard_double_arrow_right Article , Other literature type 31 Dec 2016 English Publisher:Korea Information Processing SocietyJournal:KIPS Transactions on Software and Data Engineering, volume 5, pages 653-662 (issn: 2287-5905, Copyright policy )
Authors: Han Gon Park; Ki Hyun Chung; Kyung Hee Choi;

doi: 10.3745/ktsde.2016.5.12.653

Test Case Generation for Simulink/Stateflow Model Based on a Modified Rapidly Exploring Random Tree Algorithm

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
gold