Model Comparison: A Sistematic Mapping Study

Abstract

Context: Model comparison plays a central role in many software engineering activities. However, a comprehensive understanding about the state-of-art is still required. Goal: This paper, therefore, aims at classifying, identifying publication fora, and performing thematic analysis of the current literature in model comparison for creating an extensive and detailed understanding about this area, thereby determining gaps by graphing and pinpointing in which research areas and for which study types a shortage of publications still exits. Method: We have conducted a systematic mapping study to scrutinize those contributions produced over time, which research topics have most investigated, and which research methods that have been applied. For this, we have followed well-established empirical guidelines to define and apply a systematic mapping study. Results: The results are: (1) majority of studies (14 out of 40) provide generic model comparison techniques, rather than comparison techniques for UML diagrams; (2) a categorization and quantification of the current studies in a variety of dimensions; and (3) an overview of current research topics and trends.

Publication
In 27th International Conference on Software Engineering and Knowledge Engineering (SEKE 2015)
Date
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