On Measuring Software Complexity

Journal Title: Journal of Applied Quantitative Methods - Year 2007, Vol 2, Issue 1

Abstract

In this paper we measure one internal measure of software products, namely software complexity. We present one method to determine the software complexity proposed in literature and we try to validate the method empirically using 10 small programs (the first five are written in Pascal and the last five in C++). We have obtained results which are intuitively correct, that is we have obtained higher values for average structural complexity and total complexity for the programs which “look” more complex than the others, not only in terms of length of program but also in terms of the contained structures.

Authors and Affiliations

Adrian COSTEA

Keywords

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  • EP ID EP97457
  • DOI -
  • Views 81
  • Downloads 0

How To Cite

Adrian COSTEA (2007). On Measuring Software Complexity. Journal of Applied Quantitative Methods, 2(1), 98-108. https://europub.co.uk/articles/-A-97457