The program complexity measure currently seems to be the most capable measure for both quantitative and objective control of the software project. Five program complexity measures (step count, McCabe's V(G), Halstead's E, Weighted Statement Count and Process V(G)) were assessed from such a viewpoint. This empirical study was done with the data collected through a practical software project. All of these measures have highly significant correlations with the management data. Application of complexity measures to software development management is discussed and a method for the detection of anomalous modules in a program is proposed.
对于软件项目的定量和客观控制,当前的程序复杂性度量似乎是最有能力的度量。从这种角度评估了五个程序复杂性度量(步骤计数,McCabe的V(G),Halstead的E,加权语句计数和过程V(G))。这项实证研究是通过一个实际的软件项目收集的数据完成的。所有这些措施都与管理数据高度相关。讨论了复杂性措施在软件开发管理中的应用,提出了一种程序中异常模块的检测方法。 P>
机译:使用复杂性评估软件开发项目:非参数方法
机译:关于复杂性,平台和程序类型对业务应用程序软件开发工作的影响的实证研究
机译:程序图和复杂度分析在软件开发和测试中的应用
机译:一种新的指标,用于评估计算机程序的性能和复杂性:一种测量算法复杂性和估算运行时间的传统方式的新方法
机译:基于程序证明复杂度的软件复杂度度量。
机译:CompareDx:一种软件工具包用于测量生成多个诊断的程序的性能
机译:制定质量管理指标(QMM)衡量软件程序管理质量