Details
Originalsprache | Englisch |
---|---|
Titel des Sammelwerks | MODELS 2017 Satellite Events |
Seiten | 355-359 |
Seitenumfang | 5 |
Publikationsstatus | Veröffentlicht - 2017 |
Veranstaltung | 2017 MODELS Satellite Event: Workshops (ModComp, ME, EXE, COMMitMDE, MRT, MULTI, GEMOC, MoDeVVa, MDETools, FlexMDE, MDEbug), Posters, Doctoral Symposium, Educator Symposium, ACM Student Research Competition, and Tools and Demonstrations, MODEL-SSE 2017 - Austin, USA / Vereinigte Staaten Dauer: 17 Sept. 2017 → 22 Sept. 2017 |
Publikationsreihe
Name | CEUR Workshop Proceedings |
---|---|
Herausgeber (Verlag) | CEUR Workshop Proceedings |
Band | 2019 |
ISSN (Print) | 1613-0073 |
Abstract
This paper presents the SCENARIOTOOLS solution for developing a cleaning robot system, an instance of the rover problem of the MDE Tools Challenge 2017. We present an MDE process that consists of (1) the modeling of the system behavior as a scenario-based assume-guarantee specification with SML (Scenario Modeling Language), (2) the formal realizability-checking and verification of the specification, (3) the generation of SBP (Scenario-Based Programming) Java code from the SML specification, and, finally, (4) adding platform-specific code to connect specification-level events with platform-level sensor- and actuator-events. The resulting code can be executed on a RaspberryPi-based robot. The approach is suited for developing reactive systems with multiple cooperating components. Its strength is that the scenario-based modeling corresponds closely to how humans conceive and communicate behavioral requirements. SML in particular supports the modeling of environment assumptions and dynamic component structures. The formal checks ensure that the system satisfies its specification.
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MODELS 2017 Satellite Events. 2017. S. 355-359 (CEUR Workshop Proceedings; Band 2019).
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - A scenario-based mde process for developing reactive systems
T2 - 2017 MODELS Satellite Event: Workshops (ModComp, ME, EXE, COMMitMDE, MRT, MULTI, GEMOC, MoDeVVa, MDETools, FlexMDE, MDEbug), Posters, Doctoral Symposium, Educator Symposium, ACM Student Research Competition, and Tools and Demonstrations, MODEL-SSE 2017
AU - Greenyer, Joel
AU - Gritzner, Daniel
AU - Shi, Jianwei
AU - Wete, Eric
PY - 2017
Y1 - 2017
N2 - This paper presents the SCENARIOTOOLS solution for developing a cleaning robot system, an instance of the rover problem of the MDE Tools Challenge 2017. We present an MDE process that consists of (1) the modeling of the system behavior as a scenario-based assume-guarantee specification with SML (Scenario Modeling Language), (2) the formal realizability-checking and verification of the specification, (3) the generation of SBP (Scenario-Based Programming) Java code from the SML specification, and, finally, (4) adding platform-specific code to connect specification-level events with platform-level sensor- and actuator-events. The resulting code can be executed on a RaspberryPi-based robot. The approach is suited for developing reactive systems with multiple cooperating components. Its strength is that the scenario-based modeling corresponds closely to how humans conceive and communicate behavioral requirements. SML in particular supports the modeling of environment assumptions and dynamic component structures. The formal checks ensure that the system satisfies its specification.
AB - This paper presents the SCENARIOTOOLS solution for developing a cleaning robot system, an instance of the rover problem of the MDE Tools Challenge 2017. We present an MDE process that consists of (1) the modeling of the system behavior as a scenario-based assume-guarantee specification with SML (Scenario Modeling Language), (2) the formal realizability-checking and verification of the specification, (3) the generation of SBP (Scenario-Based Programming) Java code from the SML specification, and, finally, (4) adding platform-specific code to connect specification-level events with platform-level sensor- and actuator-events. The resulting code can be executed on a RaspberryPi-based robot. The approach is suited for developing reactive systems with multiple cooperating components. Its strength is that the scenario-based modeling corresponds closely to how humans conceive and communicate behavioral requirements. SML in particular supports the modeling of environment assumptions and dynamic component structures. The formal checks ensure that the system satisfies its specification.
UR - http://www.scopus.com/inward/record.url?scp=85041441376&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85041441376
T3 - CEUR Workshop Proceedings
SP - 355
EP - 359
BT - MODELS 2017 Satellite Events
Y2 - 17 September 2017 through 22 September 2017
ER -