基于改进AHP-Fuzzy的面向测试的软件质量评价模型

A Software Quality Evaluation Model for Software Testing Based on Improved AHP-Fuzzy

摘要:

为解决面向测试的软件质量评价难以有效开展的问题,基于对传统AHP-Fuzzy模型的适当改进,提出一种面向测试的软件质量评价模型——SFSE,首先对所有叶子节点执行单因素实测评价,再按照自底向上的顺序逐层评价各级评估原子集。实验结果表明,拓展综合评价集向量提供了可调节的评估参数,通过基于实测问题规模构建评估模糊评价矩阵、将权重投射至评价因素集上的模糊子集等方式,SFSE模型可在无需人工干预的情况下实现对被测软件的定量评价。

Abstract:

To resolve the problem that the software quality evaluation for software-testing is difficult to carry out effectively, SFSE Model (System Failed State Evaluating Model), a new kind of software quality evaluation model for software testing, is proposed. The SFSE Model, well adapted for the characteristics of software testing implementation, is based on the appropriate modification of the traditional AHP-Fuzzy model. On the basis of proposing concepts such as System Failed State Evaluating, Synthetic Evaluating Set and so on, the SFSE Model evaluates all leaf node based on the information of software-testing executing firstly. Then the SFSE Model evaluates the Failed-State for every Atomy-Evaluating-Scope at all levels in accordance with the order of the bottom-up. The experimental results show that the Expanded-Synthetic-Evaluating-Set provides an adjustable mechanism for quantitative evaluating, and the SFSE Model can implement quality evaluation for all nodes and the whole software automatically without human intervention.