Modelling Guidance in Software Engineering: A Systematic Literature Review

June 14, 2022 Β· Declared Dead Β· πŸ› Journal of Software and Systems Modeling

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Authors Shalini Chakraborty, Grischa Liebel arXiv ID 2206.06724 Category cs.SE: Software Engineering Citations 7 Venue Journal of Software and Systems Modeling Last Checked 4 months ago
Abstract
Despite potential benefits in Software Engineering (SE), 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 (SLR) to explore the current state of the art. We searched academic literature for modelling guidance, and selected 25 papers for full-text screening through three rounds of selection. We find research on modelling 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 modelling. 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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