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Complexity Measures on Trees

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Part of the book series: Workshops in Computing ((WORKSHOPS COMP.))

Abstract

The work in [5] suggests a methodology for software measures research which emphasizes the interplay between a complexity measure and an order on a set of software documents. Frequently, this order is induced by a partial order on a set of abstractions of the set of documents, such as trees or flow graphs, and the complexity measure is induced by an order-preserving mapping on the set of abstractions. In a related vein, the work in [3], [4], and [6] has described specific complexity measures and suggested possible axioms which should be satisfied by any complexity measure.

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References

  1. Aczel, J., Sur les operations definies pour nombres reels, Bull. Math. Soc. France, v. 76 (1949), 59–64.

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  2. Fenton, N.E., Software Metrics - a rigorous approach, Van Nostrand Reinhold, 1991.

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  3. Fenton, N.E. and Whiny, R.W., Axiomatic approach to software metrication through program decomposition, Comput. J. 1986, 29, (4), 329–339.

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  4. McCabe, T.J., A complexity measure, IEEE Trans. SE-2, 1976, (4), 308–320.

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  5. Melton, A.C., Gustafson, D.A., Bieman, J.M., and Baker, A.L., A mathematical perspective for software measures research, Software Engineering Journal, September, 1990, 246–254.

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  6. Prather, R.E., An axiomatic theory of software complexity measure, Comput. J., 27, (4), 340–347.

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© 1992 British Computer Society

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Rice, M.D. (1992). Complexity Measures on Trees. In: Denvir, T., Herman, R., Whitty, R.W. (eds) Formal Aspects of Measurement. Workshops in Computing. Springer, London. https://doi.org/10.1007/978-1-4471-3205-9_6

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  • DOI: https://doi.org/10.1007/978-1-4471-3205-9_6

  • Publisher Name: Springer, London

  • Print ISBN: 978-3-540-19788-1

  • Online ISBN: 978-1-4471-3205-9

  • eBook Packages: Springer Book Archive

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