Synthesizing nonanomalous event-based controllers for liveness goals
We present SGR(1), a novel synthesis technique and methodological guidelines for automatically constructing event-based behavior models. Our approach works for an expressive subset of liveness properties, distinguishes between controlled and monitored actions, and differentiates system goals from en...
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paper:paper_1049331X_v22_n1_p_DIppolito2023-06-08T16:01:21Z Synthesizing nonanomalous event-based controllers for liveness goals Braberman, Víctor Adrián Algorithms Design Anomalous behavior Behavior model Event-based Liveness Liveness properties Methodological guidelines Sufficient conditions Synthesis techniques Algorithms Computer software Design Software engineering We present SGR(1), a novel synthesis technique and methodological guidelines for automatically constructing event-based behavior models. Our approach works for an expressive subset of liveness properties, distinguishes between controlled and monitored actions, and differentiates system goals from environment assumptions. We show that assumptions must be modeled carefully in order to avoid synthesizing anomalous behavior models. We characterize nonanomalous models and propose assumption compatibility, a sufficient condition, as a methodological guideline. © 2013 ACM. Fil:Braberman, V. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. 2013 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_1049331X_v22_n1_p_DIppolito http://hdl.handle.net/20.500.12110/paper_1049331X_v22_n1_p_DIppolito |
institution |
Universidad de Buenos Aires |
institution_str |
I-28 |
repository_str |
R-134 |
collection |
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) |
topic |
Algorithms Design Anomalous behavior Behavior model Event-based Liveness Liveness properties Methodological guidelines Sufficient conditions Synthesis techniques Algorithms Computer software Design Software engineering |
spellingShingle |
Algorithms Design Anomalous behavior Behavior model Event-based Liveness Liveness properties Methodological guidelines Sufficient conditions Synthesis techniques Algorithms Computer software Design Software engineering Braberman, Víctor Adrián Synthesizing nonanomalous event-based controllers for liveness goals |
topic_facet |
Algorithms Design Anomalous behavior Behavior model Event-based Liveness Liveness properties Methodological guidelines Sufficient conditions Synthesis techniques Algorithms Computer software Design Software engineering |
description |
We present SGR(1), a novel synthesis technique and methodological guidelines for automatically constructing event-based behavior models. Our approach works for an expressive subset of liveness properties, distinguishes between controlled and monitored actions, and differentiates system goals from environment assumptions. We show that assumptions must be modeled carefully in order to avoid synthesizing anomalous behavior models. We characterize nonanomalous models and propose assumption compatibility, a sufficient condition, as a methodological guideline. © 2013 ACM. |
author |
Braberman, Víctor Adrián |
author_facet |
Braberman, Víctor Adrián |
author_sort |
Braberman, Víctor Adrián |
title |
Synthesizing nonanomalous event-based controllers for liveness goals |
title_short |
Synthesizing nonanomalous event-based controllers for liveness goals |
title_full |
Synthesizing nonanomalous event-based controllers for liveness goals |
title_fullStr |
Synthesizing nonanomalous event-based controllers for liveness goals |
title_full_unstemmed |
Synthesizing nonanomalous event-based controllers for liveness goals |
title_sort |
synthesizing nonanomalous event-based controllers for liveness goals |
publishDate |
2013 |
url |
https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_1049331X_v22_n1_p_DIppolito http://hdl.handle.net/20.500.12110/paper_1049331X_v22_n1_p_DIppolito |
work_keys_str_mv |
AT brabermanvictoradrian synthesizingnonanomalouseventbasedcontrollersforlivenessgoals |
_version_ |
1768542998861185024 |