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Automated Software Quality Visualisation Using Fuzzy Logic Techniques

机译:使用模糊逻辑技术的自动化软件质量可视化

摘要

In the past decade there has been a concerted effort by the software industry to improve the quality of its products. This has led to the inception of various techniques with which to control and measure the process involved in software development. Methods like the Capability Maturity Model have introduced processes and strategies that require measurement in the form of software metrics. With the ever increasing number of software metrics being introduced by capability based processes, software development organisations are finding it more difficult to understand and interpret metric scores. This is particularly problematic for senior management and project managers where analysis of the actual data is not feasible. This paper proposes a method with which to visually represent metric scores so that managers can easily see how their organisation is performing relative to quality goals set for each type of metric. Acting primarily as a proof of concept and prototype, we suggest ways in which real customer needs can be translated into a feasible technical solution. The solution itself visualises metric scores in the form of a tree structure and utilises Fuzzy Logic techniques, XGMML, Web Services and the .NET Framework. Future work is proposed to extend the system from the prototype stage and to overcome a problem with the masking of poor scores.
机译:在过去的十年中,软件行业一直在努力提高产品质量。这导致了控制和测量软件开发过程的各种技术的诞生。能力成熟度模型之类的方法引入了需要以软件指标形式进行度量的过程和策略。随着基于能力的流程引入的软件指标不断增加,软件开发组织发现越来越难以理解和解释指标得分。这对于无法对实际数据进行分析的高级管理层和项目经理尤其成问题。本文提出了一种可视化地表示指标得分的方法,以便管理人员可以轻松地查看其组织相对于针对每种指标类型设置的质量目标的绩效。我们主要作为概念和原型的证明,我们建议将真实的客户需求转化为可行的技术解决方案的方法。该解决方案本身以树结构的形式可视化指标得分,并利用模糊逻辑技术,XGMML,Web服务和.NET Framework。提出了未来的工作,以从原型阶段扩展该系统,并克服掩盖不良分数的问题。

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