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Erschienen in:
Swift Logic for Big Data and Knowledge Graphs Kapitel lesen Erstes Kapitel lesen

2018 | OriginalPaper | Buchkapitel

Diversity in UML Modeling Explained: Observations, Classifications and Theorizations

verfasst von : Michel R. V. Chaudron, Ana Fernandes-Saez, Regina Hebig, Truong Ho-Quang, Rodi Jolak

Erschienen in: SOFSEM 2018: Theory and Practice of Computer Science

Verlag: Springer International Publishing

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Abstract

Modeling is a common part of modern day software engineering practice. Little evidence exists about how models are used in software development and how they help in producing better software. In this talk we introduce a classification-matrix and a theoretical framework that helps explain the large variety of models and modeling styles found in industrial practice. As part of this explanation, we will explore empirical findings on the uses of UML modeling in practice. We intersperse this paper with some insights about modeling in software development that may be common to some, but certainly not generally accepted throughout the software engineering community.

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Vorheriges Kapitel The State of the Art in Dynamic Graph Algorithms
Nächstes Kapitel Self-managing Internet of Things
Fußnoten
1
Also known as non-functional.
 
2
Images of Bilbao Guggenheim Museum (c) by Gehry, and Mike from Monsters Inc. (c) by Pixar.
 
3
The categories have been renamed to be consistent with the naming used in this paper.
 
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Metadaten
Titel
Diversity in UML Modeling Explained: Observations, Classifications and Theorizations
verfasst von
Michel R. V. Chaudron
Ana Fernandes-Saez
Regina Hebig
Truong Ho-Quang
Rodi Jolak
Copyright-Jahr
2018
Buch
SOFSEM 2018: Theory and Practice of Computer Science

Print ISBN: 978-3-319-73116-2

Electronic ISBN: 978-3-319-73117-9

Copyright-Jahr: 2018

DOI
https://doi.org/10.1007/978-3-319-73117-9_4

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