Information Theory-Based Measurement of Software

Author:

Allen Edward B.

Publisher

Birkhäuser Boston

Reference39 articles.

1. Allen, E.B.: Information theory and software measurement. PhD thesis, Florida Atlantic University, Boca Raton, Florida, August 1995. Advised by Taghi M. Khoshgoftaar

2. Allen, E.B.: Measuring graph abstractions of software: An information-theory approach. In Proceedings: Eighth IEEE symposium on software metrics, pages 182–193, Ottawa, Canada, June 2002. IEEE Computer Society

3. Allen, E.B., Gottipati, S., Govindarajan, R.: Measuring size, complexity, and coupling of hypergraph abstractions of software: An information-theory approach. Software Qual. J. 15(2), 179–212 (2007)

4. Allen, E.B., Khoshgoftaar, T.M.: Measuring coupling and cohesion: An information-theory approach. In Proceedings of the sixth international software metrics symposium, pages 119–127, Boca Raton, Florida, November 1999. IEEE Computer Society

5. Briand, L.C., Daly, J.W., Wüst, J.: A unified framework for cohesion measurement in object-oriented systems. Empir. Software Eng. Int. J. 3(1), 65–117 (1998)

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