A Tool for Entropy­based Analysis of Design­-time and Runtime Models

Jung, Reiner, Heinrich, Robert and Hasselbring, Wilhelm (2015) A Tool for Entropy­based Analysis of Design­-time and Runtime Models [Poster] In: Symposium on Software Performance 2015: Joint Developer and Community Meeting of Descartes/Kieker/Palladio, November 04-06, 2015, Munich, Germany.

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Abstract

Software development and operation comprise a wide range of different artifacts, including architecture models, adaptation plans, and source code.
The complexity of any artifact has an impact on the evolution and adaptation of software systems.
Higher complexity and coupling affects the adaptability and evolvability of software systems and can have an impact on various quality attributes, including performance.
Therefore, analysis metrics have been developed to assess these qualities.
However, they are largely based on counting elements, e.g., lines of code, ignoring the interrelation of elements.
Therefore, they do not provide a precise assessment.

On this poster, we present an extensible analysis tool and a metric founded on information theory which allows to take the interrelation of elements and artifacts into account.

Document Type: Conference or Workshop Item (Poster)
Keywords: Information Theory Entropy Complexity Metric Cohesion Metric Size Metric
Research affiliation: Kiel University > Software Engineering
Kiel University > Kiel Marine Science
Date Deposited: 29 Sep 2016 07:51
Last Modified: 29 Sep 2016 07:51
URI: http://eprints.uni-kiel.de/id/eprint/34061

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