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Lightweight Consistency Checking for Agile Model-Based Development in Practice
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0002-1863-3987
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0002-0401-1036
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0003-0416-1787
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0002-8461-0230
2019 (English)In: Journal of Object Technology, E-ISSN 1660-1769, Vol. 18, no 2Article in journal (Refereed) Published
Abstract [en]

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 bringing about multi-view consistency in the context of agile model-based development, through frequent, lightweight consistency checks across views and between heterogeneous models. The checks are lightweight in the sense that they are easy to create, edit, use and maintain, and since they find inconsistencies but do not attempt to automatically resolve them. With respect to ease of use, we explicitly separate the two main concerns in defining consistency checks, being (i) which modelling elements across heterogeneous models should be consistent with each other and (ii) what constitutes consistency between them. We assess the feasibility and illustrate the potential usefulness of our consistency checking approach, from an industrial agile model-based development point-of-view, through a proof-of-concept implementation on a sample project leveraging models expressed in SysML and Simulink. A continuous integration pipeline hosts the initial definition and subsequent execution of consistency checks, it is also the place where the user can view results of consistency checks and reconfigure them.

Place, publisher, year, edition, pages
2019. Vol. 18, no 2
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:mdh:diva-44918DOI: 10.5381/jot.2019.18.2.a11ISI: 000473336200012Scopus ID: 2-s2.0-85083182262OAI: oai:DiVA.org:mdh-44918DiVA, id: diva2:1337925
Available from: 2019-07-18 Created: 2019-07-18 Last updated: 2024-03-04Bibliographically approved
In thesis
1. Advancing Continuous Model-Based Development in Industry
Open this publication in new window or tab >>Advancing Continuous Model-Based Development in Industry
2020 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

For the development of complex software systems, two prominent paradigms have become popular in the industry: model-based development and agile software development. Model-based development holds the promise of improving the productivity of software development through abstraction, by focusing on the problem domain and capturing it in models. Agile methods are sometimes seen as conflicting with model-based development due to their favored short development cycles as opposed to the apparent longer development phases in model-based development. In this licentiate thesis, we explore how development can benefit from combining the two practices successfully into continuous model-based development. We present four papers studying this topic in the industrial development of complex embedded systems. The first two papers present investigations of the current state-of-practice and specific challenges of combining the agile practice of continuous integration and model-based development. In the third and fourth paper, we focus on one of those challenges: model synchronization, i.e. the management of consistency between disparate development artifacts describing the same system. We propose a lightweight approach that notifies developers of introductions of inconsistency between different models. Lastly, we consider a second dimension of the management of different development artifacts: variability. We provide support for alleviating manual tasks in maintaining consistency across variants of models in a product line created to describe system variants.

Place, publisher, year, edition, pages
Västerås: Mälardalen University, 2020
Series
Mälardalen University Press Licentiate Theses, ISSN 1651-9256 ; 297
Keywords
Model-Based Development, Continuous Integration, Consistency Checking, Software Product Lines, Industrial Software Engineering
National Category
Embedded Systems
Research subject
Computer Science
Identifiers
urn:nbn:se:mdh:diva-50944 (URN)978-91-7485-480-0 (ISBN)
Presentation
2020-11-20, Lambda+(Online/Zoom ), Mälardalens högskola, Västerås, 13:30 (English)
Opponent
Supervisors
Available from: 2020-09-29 Created: 2020-09-28 Last updated: 2020-10-20Bibliographically approved

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Jongeling, RobbertCiccozzi, FedericoCicchetti, AntonioCarlson, Jan

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