测试和调试用于故障检测和排除过程的资源分配

M. Nasar, P. Johri
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引用次数: 1

摘要

在软件开发生命周期(SDLC)中,测试是非常重要的一步。软件质量的关键要素之一是测试。在进行测试时,故障检测和排除过程也非常重要。在过去的30年里,许多软件可靠性增长模型被开发出来用于故障检测和纠正过程。大多数模型是在静态条件下开发的。本文的主要目的是研究软件故障检测和纠正过程的资源分配计划,以控制测试和运行阶段的成本。为了实现这一目标,我们开发了一个故障检测和纠正过程的模型。为了求解这个模型,我们使用了庞特里再次的极大值原理。为了实现资源的最优分配,我们使用差分进化(DE)。差分进化(DE)是一种优化算法。给出了故障检测与排除过程资源分配的数值实例。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
TESTING AND DEBUGGING RESOURCE ALLOCATION FOR FAULT DETECTION AND REMOVAL PROCESS
In software development life cycle (SDLC) testing is very important step. One of the key elements of software quality is testing. Fault detection and removal process is also very important when we are doing testing. In the last 30 years numerous software reliability growth models where developed for fault detection and correction process. Majority of models where developed under static condition. The main goal of this article is to examine the resource allocation plan for fault detection and correction process of the software to control the cost during testing and operational phase. For achieving this we developed a model for fault detection and correction process. For solving this model we use Pontryagain’s Maximum principle. For optimally resource allocation we use Differential Evolution (DE). Differential Evolution (DE) is an optimization algorithm. A numerical example is also explained for resource allocation for fault detection and removal process.
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