测量软件功能大小:朝着有效测量复杂性的方向发展

D. Tran-Cao, G. Lévesque, A. Abran
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引用次数: 31

摘要

在任何最流行的函数大小测量方法中,都没有充分考虑数据操作或算法复杂性。在本文中,我们回顾了一些众所周知的测量数据操作问题复杂性的方法,并强调了对复杂性的新定义的兴趣。到目前为止,努力的概念总是与复杂性联系在一起。这个定义的优点是将工作量和复杂性分离开来,而不是指软件本身的特征和内在属性。我们的目标是提出一些简单和实用的方法来测量我们认为特别相关的这些特征,并将它们纳入功能尺寸测量方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Measuring software functional size: towards an effective measurement of complexity
Data manipulation, or algorithmic complexity, is not taken into account adequately in any of the most popular functional size measurement methods. In this paper, we recall some well-known methods for measuring problem complexity in data manipulation and highlight the interest in arriving at a new definition of complexity. Up to now, the concept of effort has always been associated with complexity. This definition has the advantage of dissociating effort and complexity, referring instead to the characteristics and intrinsic properties of the software itself. Our objective is to propose some simple and practical approaches to the measurement of some of these characteristics which we consider particularly relevant and to incorporate them into a functional size measurement method.
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