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Software and Systems Modeling

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17-07-2023 | Regular Paper

Modelling guidance in software engineering: a systematic literature review

Authors: Shalini Chakraborty, Grischa Liebel

Published in: Software and Systems Modeling | Issue 1/2024

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Abstract

Despite potential benefits in Software Engineering, adoption of software modelling in industry is low. Technical issues such as tool support have gained significant research before, but individual guidance and training have received little attention. As a first step towards providing the necessary guidance in modelling, we conduct a systematic literature review to explore the current state of the art. We searched academic literature for guidance on model creation and selected 35 papers for full-text screening through three rounds of selection. We find research on model creation guidance to be fragmented, with inconsistent usage of terminology, and a lack of empirical validation or supporting evidence. We outline the different dimensions commonly used to provide guidance on software and system model creation. Additionally, we provide definitions of the three terms modelling method, style, and guideline as current literature lacks a well-defined distinction between them. These definitions can help distinguishing between important concepts and provide precise modelling guidance.

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https://doi.org/10.5281/zenodo.7685694.

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Title: Modelling guidance in software engineering: a systematic literature review
Authors: Shalini Chakraborty
Grischa Liebel
Publication date: 17-07-2023
Publisher: Springer Berlin Heidelberg
Published in: Software and Systems Modeling / Issue 1/2024
Print ISSN: 1619-1366
Electronic ISSN: 1619-1374
DOI: https://doi.org/10.1007/s10270-023-01117-1

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