Empirical Validation of Information Theory-Based Software Metrics

CCR-0098024基于信息论的软件度量的经验验证Edward B.艾伦，P.I和雷福德B。Vaughn，co-P.I.基于信息论的软件度量的经验验证是密西西比州立大学的一个研究项目，它是基于信息论的新一代软件度量的有效性的验证。软件工程师在软件开发过程中使用各种各样的图表。由于软件的许多抽象都是用图来表示的，因此图属性的度量具有广泛的应用前景。信息论是计数的一种替代方法，侧重于属性中的信息量。这个项目对最新技术的贡献是经验证据，即基于信息理论的软件度量的大小，长度，复杂性，耦合性和内聚性可以是有用的软件质量的及时预测器，与工业和政府软件开发组织合作的案例研究通过检查各种真实的-世界软件系统足够大，可以与其他行业项目相媲美。合作者包括EDS Inc.，爱立信公司，MPI软件技术公司 研究结果将在基于经验的软件工程中心（CeBASE）发布。 该项目产生的经验证据旨在促进软件质量成本效益的新水平。

CCR-0098024Empirical Validation of Information Theory-Based Software MetricsEdward B. Allen, P.I, and Rayford B. Vaughn, co-P.I.Empirical Validation of Information Theory-Based Software Metrics is aresearch project of Mississippi State University that is empiricallyvalidating the usefulness of a new generation of software metrics, basedon information theory.Software engineers employ a wide variety of diagrams during developmentof software. Because many abstractions of software are represented bygraphs, metrics of graph attributes have the potential for wideapplication. Information theory is an alternative to counting, focusingon the amount of information in an attribute. The contribution of thisproject to the state of the art is empirical evidence that informationtheory-based software metrics of size, length, complexity, coupling andcohesion can be useful timely predictors of software quality, and thatthey have advantages over counting-based metrics.Case studies in collaboration with industrial and government softwaredevelopment organizations are providing a meaningful evaluation byexamining a variety of real-world software systems large enough to becomparable to other industry projects. Collaborators include EDS Inc.,Ericsson Inc., and MPI Software Technology Inc. Results will bedisseminated throught the Center for Empirically Based SoftwareEngineering (CeBASE). The empirical evidence generated by this projectis aimed to facilitate a new level of cost-effective improvement tosoftware quality.