Abstract
Multivariate networks, or graphs, occur in many application domains. In this chapter, we focus on software engineering. We present the specific nature of the data, challenges, and visual exploration solutions for multivariate graphs stemming from software engineering applications. Our goal is twofold. First, we draw attention to specific software engineering aspects, and the ensuing multivariate graphs, which make their (visual) understanding hard. This should help researchers to better understand the software engineering challenges related to multivariate graphs, and thus contribute to solutions. Secondly, we present existing approaches for the visual exploration of multivariate software graphs. This should help disseminating such solutions to areas beyond software engineering. © 2014 Springer International Publishing.
Cite
CITATION STYLE
Diehl, S., & Telea, A. C. (2014). Multivariate networks in software engineering. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8380 LNCS, pp. 13–36). Springer Verlag. https://doi.org/10.1007/978-3-319-06793-3_2
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