2019
DOI: 10.5381/jot.2019.18.2.a11
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Lightweight Consistency Checking for Agile Model-Based Development in Practice.

Abstract: In model-based development projects, models at different abstraction levels capture different aspects of a software system, e.g., specification or design. Inconsistencies between these models can cause inefficient and incorrect development. A tool-based framework to assist developers creating and maintaining models conforming to different languages (i.e. heterogeneous models) and consistency between them is not only important but also much needed in practice. In this work, we focus on assisting developers brin… Show more

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Cited by 7 publications
(1 citation statement)
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References 15 publications
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“…Moreover, Jongeling [16] proposes to detect inconsistencies and report on how to live with them in an industrial case study. In [17] they further allow to detect inconsistencies for heterogeneous models. Tröls et al [50] also propose to detect inconsistencies over different kinds of artifacts and not just models.…”
Section: Related Workmentioning
confidence: 99%
“…Moreover, Jongeling [16] proposes to detect inconsistencies and report on how to live with them in an industrial case study. In [17] they further allow to detect inconsistencies for heterogeneous models. Tröls et al [50] also propose to detect inconsistencies over different kinds of artifacts and not just models.…”
Section: Related Workmentioning
confidence: 99%