基于熵的增强粒子群算法的多目标软件可靠性模型优化测试资源分配

IF 1.5 4区 计算机科学 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING
P. Rani, G. Mahapatra
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引用次数: 2

摘要

本文提出了指数软件可靠性模型的一种推广方法,以表征故障引入和时变故障检出率等因素。软件生命周期是基于模块结构设计的,如模块测试期间的测试工作量和检测到的软件故障等。资源分配问题是软件可靠性建模测试阶段的关键问题。为了达到期望的可靠性水平,需要在模块之间做出最优的资源分配决策。本文提出了一种新的广义指数可靠性函数,建立了测试资源的多目标软件可靠性模型,以表征总期望成本和测试工作量的动态分配。提出了一种增强粒子群优化算法(EPSO),以实现软件可靠性最大化和分配成本最小化。我们使用随机生成的测试资源集进行实验,并使用熵函数改变性能。在典型的模块化测试环境中,根据加权成本函数和测试工作量度量,将多目标模型与模块模型进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Entropy based enhanced particle swarm optimization on multi‐objective software reliability modelling for optimal testing resources allocation
This paper proposes a generalization of the exponential software reliability model to characterize several factors including fault introduction and time‐varying fault detection rate. The software life cycle is designed based on module structure such as testing effort spent during module testing and detected software faults etc. The resource allocation problem is a critical phase in the testing stage of software reliability modelling. It is required to make decisions for optimal resource allocation among the modules to achieve the desired level of reliability. We formulate a multi‐objective software reliability model of testing resources for a new generalized exponential reliability function to characterizes dynamic allocation of total expected cost and testing effort. An enhanced particle swarm optimization (EPSO) is proposed to maximize software reliability and minimize allocation cost. We perform experiments with randomly generated testing‐resource sets and varying the performance using the entropy function. The multi‐objective model is compared with modules according to weighted cost function and testing effort measures in a typical modular testing environment.
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来源期刊
Software Testing Verification & Reliability
Software Testing Verification & Reliability 工程技术-计算机:软件工程
CiteScore
3.70
自引率
0.00%
发文量
34
审稿时长
>12 weeks
期刊介绍: The journal is the premier outlet for research results on the subjects of testing, verification and reliability. Readers will find useful research on issues pertaining to building better software and evaluating it. The journal is unique in its emphasis on theoretical foundations and applications to real-world software development. The balance of theory, empirical work, and practical applications provide readers with better techniques for testing, verifying and improving the reliability of software. The journal targets researchers, practitioners, educators and students that have a vested interest in results generated by high-quality testing, verification and reliability modeling and evaluation of software. Topics of special interest include, but are not limited to: -New criteria for software testing and verification -Application of existing software testing and verification techniques to new types of software, including web applications, web services, embedded software, aspect-oriented software, and software architectures -Model based testing -Formal verification techniques such as model-checking -Comparison of testing and verification techniques -Measurement of and metrics for testing, verification and reliability -Industrial experience with cutting edge techniques -Descriptions and evaluations of commercial and open-source software testing tools -Reliability modeling, measurement and application -Testing and verification of software security -Automated test data generation -Process issues and methods -Non-functional testing
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