2020
DOI: 10.1007/s10270-020-00806-5
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Mixed-semantics composition of statecharts for the component-based design of reactive systems

Abstract: The increasing complexity of reactive systems can be mitigated with the use of components and composition languages in model-driven engineering. Designing composition languages is a challenge itself as both practical applicability (support for different composition approaches in various application domains), and precise formal semantics (support for verification and code generation) have to be taken into account. In our Gamma Statechart Composition Framework, we designed and implemented a composition language … Show more

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Cited by 24 publications
(22 citation statements)
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“…As a result, a thorough examination of existing systems revealed several flaws, prompting us to propose a method to address these flaws in existing systems during pandemic emergencies. For example, no semantic information extraction [ 10 , 18 , 23 ] suffers from vagueness and misconception of viewpoints of diverse-perspective problem investigation [ 2 , 16 ], both of which demotivate teachers and students to seek solutions and improve their knowledge. Furthermore, without virtual aid, ambiguity, incompleteness, and redundancy in course descriptions can enhance cooperation with relevant staff and performance concerns [ 5 , 31 ].…”
Section: Related Workmentioning
confidence: 99%
“…As a result, a thorough examination of existing systems revealed several flaws, prompting us to propose a method to address these flaws in existing systems during pandemic emergencies. For example, no semantic information extraction [ 10 , 18 , 23 ] suffers from vagueness and misconception of viewpoints of diverse-perspective problem investigation [ 2 , 16 ], both of which demotivate teachers and students to seek solutions and improve their knowledge. Furthermore, without virtual aid, ambiguity, incompleteness, and redundancy in course descriptions can enhance cooperation with relevant staff and performance concerns [ 5 , 31 ].…”
Section: Related Workmentioning
confidence: 99%
“…To address such issues, Fernández-García et al (2019) presented a method for improving requirement analysis and prioritization by predicting requirement intelligently using machine learning recommender method. Additionally, in another study (Graics et al, 2020) authors presented method for semantic based reactive CBS design using state chart model. Machine learning based methods are also used for handling CBS large set of requirements (Sheoran et al, 2020).…”
Section: Related Workmentioning
confidence: 99%
“…The literature outcome provided an overview and guidelines for CBS applications, trends, opportunities, and challenges during development. The key challenges identified from the literature are ambiguities, incompleteness, misspecification, mismatch, inaccuracy, redundancy, and irrelevancy during requirement specification, analysis, and prioritization of CBS (Ali et al, 2018;Ayala et al, 2018;Borg et al, 2019;Chatzipetrou et al, 2020;Graics et al, 2020;Noei et al, 2019;Sheoran et al, 2020). Thus, these challenges impact the integration, verification, and validation process of CBS during development.…”
Section: Related Workmentioning
confidence: 99%
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“…In the future, these modules may be assembled on the fly (at runtime) in a statechart realising the optimal behaviour of a system. Towards this direction, is the recent Gamma Statechart Composition Framework [32], an integrated modeling tool that aims to support the composition of heterogeneous statechart components. Its Gamma Composition Language supports the interconnection of components and reuses existing code generators.…”
Section: Future Directionsmentioning
confidence: 99%