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Continuous integration support in modeling tools
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: 0000-0002-8461-0230
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0003-0416-1787
2018 (English)In: CEUR Workshop Proceedings, CEUR-WS , 2018, Vol. 2245, p. 268-276Conference paper, Published paper (Refereed)
Abstract [en]

Continuous Integration (CI) and Model-Based Development (MBD) have both been hailed as practices that improve the productivity of software development. Their combination has the potential to boost productivity even more. The goal of our research is to identify impediments to realizing this combination in industrial collaborative modeling practices. In this paper, we examine certain specific features of modeling tools that, due to their immaturity, may represent impediments to combining CI and MBD. To this end, we identify features of modeling tools that are relevant to enabling CI practices in MBD processes and we review modeling tools with respect to their level of support for each of these features.

Place, publisher, year, edition, pages
CEUR-WS , 2018. Vol. 2245, p. 268-276
Keywords [en]
Belt drives, Industrial research, Productivity, Collaborative model, Continuous integrations, Model based development, Modeling tool, Software design
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:mdh:diva-42980Scopus ID: 2-s2.0-85063092120OAI: oai:DiVA.org:mdh-42980DiVA, id: diva2:1299727
Conference
2018 MODELS Workshops: ModComp, MRT, OCL, FlexMDE, EXE, COMMitMDE, MDETools, GEMOC, MORSE, MDE4IoT, MDEbug, MoDeVVa, ME, MULTI, HuFaMo, AMMoRe, PAINS, MODELS-WS 2018, 14 October 2018 through 19 October 2018
Available from: 2019-03-28 Created: 2019-03-28 Last updated: 2022-11-08Bibliographically 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, RobbertCarlson, JanCicchetti, AntonioCiccozzi, Federico

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