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首页> 外文期刊>International journal of open source software & processes >Optimization of Test Cases in Object-Oriented Systems Using Fractional-SMO
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Optimization of Test Cases in Object-Oriented Systems Using Fractional-SMO

机译：使用Fractional-Smo的面向对象系统测试用例的优化

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This paper introduces the technique to select the test cases from the unified modeling language (UML) behavioral diagram. The UML behavioral diagram describes the boundary, structure, and behavior of the system that is fed as input for generating the graph. The graph is constructed by assigning the weights, nodes, and edges. Then, test case sequences are created from the graph with minimal fitness value. Then, the optimal sequences are selected from the proposed fractional-spider monkey optimization (fractional-SMO). The developed fractional-SMO is designed by integrating fractional calculus and SMO. Thus, the efficient test cases are selected based on the optimization algorithm that uses fitness parameters, like coverage and fault. Simulations are performed via five synthetic UML diagrams taken from the dataset. The performance of the proposed technique is computed using coverage and the number of test cases. The maximal coverage of 49 and the minimal number of test cases as 2,562 indicate the superiority of the proposed technique.
机译：本文介绍了从统一建模语言（UML）行为图中选择测试用例的技术。 UML行为图描述了作为生成图表的输入的系统的边界，结构和行为。该图是通过分配权重，节点和边缘来构造的。然后，使用最小的健康值从图中创建测试箱序列。然后，从所提出的分数蜘蛛猴优化（分数-Smo）中选择最佳序列。开发的分数-Smo是通过集成分数微积分和SMO来设计的。因此，基于使用健身参数的优化算法选择有效的测试用例，例如覆盖和故障。通过从数据集中占用的五个合成UML图来执行模拟。使用覆盖率和测试用例的数量来计算所提出的技术的性能。为2,562的最大覆盖率为49和最小数量的测试用例表示所提出的技术的优越性。

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