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Authors: Andreas Wagner 1 and Christian Prehofer 2

Affiliations: 1 itestra GmbH, Germany ; 2 fortiss GmbH, Germany

Keyword(s): Task Models, Statecharts, Partial State Machines, Model Transformation, Interaction Modeling.

Related Ontology Subjects/Areas/Topics: Domain-Specific Modeling and Domain-Specific Languages ; Languages, Tools and Architectures ; Methodologies, Processes and Platforms ; Model Transformation ; Model Transformations and Generative Approaches ; Model-Driven Software Development ; Models ; Paradigm Trends ; Software Engineering

Abstract: We present a new method to translate the established and well-known ConcurTaskTree (CTT) task modeling technique into state machines. For this purpose, we develop the concepts of partial state machines, Connectables and a connect operator, which form the theoretical framework for a new algorithm. For the translation, we develop and present a recursive, bottom-up algorithm, which exploits the inherent structure of CTTs and produces valid, partial state machines. This allows new development processes in the model-driven application and system development domain.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Wagner, A. and Prehofer, C. (2016). Translating Task Models to State Machines. In Proceedings of the 4th International Conference on Model-Driven Engineering and Software Development - MODELSWARD; ISBN 978-989-758-168-7; ISSN 2184-4348, SciTePress, pages 201-208. DOI: 10.5220/0005681702010208

@conference{modelsward16,
author={Andreas Wagner. and Christian Prehofer.},
title={Translating Task Models to State Machines},
booktitle={Proceedings of the 4th International Conference on Model-Driven Engineering and Software Development - MODELSWARD},
year={2016},
pages={201-208},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005681702010208},
isbn={978-989-758-168-7},
issn={2184-4348},
}

TY - CONF

JO - Proceedings of the 4th International Conference on Model-Driven Engineering and Software Development - MODELSWARD
TI - Translating Task Models to State Machines
SN - 978-989-758-168-7
IS - 2184-4348
AU - Wagner, A.
AU - Prehofer, C.
PY - 2016
SP - 201
EP - 208
DO - 10.5220/0005681702010208
PB - SciTePress