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Learning-based Resp...
Learning-based Response Time Analysis in Real-Time Embedded Systems : A Simulation-based Approach
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- Helali Moghadam, Mahshid (författare)
- Mälardalens högskola,Inbyggda system,RISE, SICS, Sweden,SICS
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- Saadatmand, Mehrdad (författare)
- RISE,SICS,RISE, SICS, Sweden
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- Borg, Markus (författare)
- RISE,SICS,RISE, SICS, Sweden
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- Bohlin, Markus, 1976- (författare)
- RISE,SICS,RISE, SICS, Sweden
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- Lisper, Björn (författare)
- Mälardalens högskola,Inbyggda system,Mälardalen University, Sweden
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(creator_code:org_t)
- 2018-05-28
- 2018
- Engelska.
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Ingår i: 1st International Workshop on Software Qualities and their Dependencies, located at the International Conference of Software Engineering (ICSE) 2018 SQUADE'18. - New York, NY, USA : ACM. - 9781450357371 ; , s. 21-24
- Relaterad länk:
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https://doi.org/10.1...
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http://delivery.acm....
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https://urn.kb.se/re...
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https://doi.org/10.1...
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https://urn.kb.se/re...
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Abstract
Ämnesord
Stäng
- Response time analysis is an essential task to verify the behavior of real-time systems. Several response time analysis methods have been proposed to address this challenge, particularly for real-time systems with different levels of complexity. Static analysis is a popular approach in this context, but its practical applicability is limited due to the high complexity of the industrial real-time systems, as well as many unpredictable runtime events in these systems. In this work-in-progress paper, we propose a simulationbased response time analysis approach using reinforcement learning to find the execution scenarios leading to the worst-case response time. The approach learns how to provide a practical estimation of the worst-case response time through simulating the program without performing static analysis. Our initial study suggests that the proposed approach could be applicable in the simulation environments of the industrial real-time control systems to provide a practical estimation of the execution scenarios leading to the worst-case response time.
Ämnesord
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Datorsystem (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Computer Systems (hsv//eng)
- NATURVETENSKAP -- Data- och informationsvetenskap -- Programvaruteknik (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Software Engineering (hsv//eng)
Publikations- och innehållstyp
- ref (ämneskategori)
- kon (ämneskategori)
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