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On the use of a Segmentally Additive Proximity Structure to Measure Object Class Life Cycle Complexity

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Software Measurement

Part of the book series: Information Engineering und IV-Controlling ((IEIVC))

Abstract

According to Whitmire [14] software is characterised by three dimensions. The data dimension refers to what the software system remembers. The function dimension relates to what a system does. And finally, the control or dynamic behaviour dimension considers the different behavioural states of software. Most object-oriented software measures focus on aspects of the data and function dimensions. For instance, Chidamber’s et al. MOOSE metric suite [1] is used to measure the static structure of an object-oriented design (depth of inheritance, number of children), the structural complexity of the design (weighted methods per class, coupling between objects, response for a class), and the interaction between functions and data (lack of cohesion in methods).

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Reiner Dumke Alain Abran

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© 1999 Springer Fachmedien Wiesbaden

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Poels, G. (1999). On the use of a Segmentally Additive Proximity Structure to Measure Object Class Life Cycle Complexity. In: Dumke, R., Abran, A. (eds) Software Measurement. Information Engineering und IV-Controlling. Deutscher Universitätsverlag, Wiesbaden. https://doi.org/10.1007/978-3-663-08949-0_4

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  • DOI: https://doi.org/10.1007/978-3-663-08949-0_4

  • Publisher Name: Deutscher Universitätsverlag, Wiesbaden

  • Print ISBN: 978-3-8244-6876-8

  • Online ISBN: 978-3-663-08949-0

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