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A fuzzy neural network approach for assessment and enhancing software reliability

机译:一种用于评估和增强软件可靠性的模糊神经网络方法

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© 2017 AMSE Press. All rights reserved.Software Reliability is the probability of non-failure software procedure for a predefined duration in a predetermined domain. Software Reliability is similarly an imperative factor manipulating structure with reliability 2. It contrasts from hardware reliability in the way that it reflects the outline faultlessness, and to provide reliable software. The elevated intricacy of software is the major contributing element of Software Reliability issues. Software reliability engineering (SRE) surveys how well software based items and administrations meet client's operational needs. SRE utilizes quantitative techniques in view of reliability measures to do this evaluation. The essential objective of SRE is to boost consumer loyalty. SRE uses such quantitative strategies as factual estimation and expectation, estimation, and displaying. As the reliability of an item or administration is profoundly subject to working conditions and the reliability of software is identified with how the product is utilized, the quantitative portrayal of the utilization of software is an indispensable part in SRE. Software Cost Estimation with resonating unwavering quality, profitability and improvement exertion is a testing and burdensome undertaking. This has prompted the product group to give much required push and dig into broad research in Software exertion estimation for developing refined strategies. Estimation by similarity is one of the practical strategies in Software exertion estimation field. Be that as it may, the technique used for the estimation of Software exertion by similarity can't deal with the all-out information in an express and exact way. Another approach has been created in this paper to assess Software exertion for ventures spoke to by all out or numerical information utilizing thinking by similarity and fluffy approach. The current chronicled datasets, investigated with fluffy rationale, deliver precise brings about correlation with the dataset examined with the before approaches. Software designing is a more extensive training of which SRE is a sub train. Software building is worried about all parts of outlining, executing, and dealing with the advancement of software 8. Different parts of software building incorporate the financial aspects of creating software and the interfaces between software, frameworks, and people and with the practices and procedures for guaranteeing the nature of conveyed software. In this paper we ponder the product reliability of frameworks with the assistance of past failure related informational collections by utilizing Fuzzy Neural Networks (FNN) methods, Numerical cases are appeared with both real and mimicked datasets. Better execution of software reliability evaluation is watched, contrasted and unique FNN demonstrate with no such verifiable failure related information joined.
机译:© 2017 AMSE 出版社。保留所有权利。软件可靠性是指在预定域中,软件过程在预定义持续时间内不发生故障的概率。软件可靠性同样是操纵结构的必要因素[2]。它与硬件可靠性形成鲜明对比的是,它反映了轮廓的无故障,并提供可靠的软件。软件复杂性的增加是软件可靠性问题的主要因素。软件可靠性工程 (SRE) 调查基于软件的项目和管理如何满足客户的运营需求。鉴于可靠性测量,SRE 利用定量技术进行此评估。SRE 的基本目标是提高消费者忠诚度。SRE 使用事实估计和期望、估计和显示等定量策略。由于项目或管理的可靠性在很大程度上取决于工作条件,而软件的可靠性取决于产品的使用方式,因此软件利用的定量描述是SRE中不可或缺的一部分。软件成本估算与坚定不移的质量、盈利能力和改进努力产生共鸣是一项考验和繁重的工作。这促使产品组给予了急需的推动力,并深入研究了软件消耗估计的广泛研究,以制定精细的策略。相似性估计是软件应用估计领域的实用策略之一。尽管如此,用于通过相似性估计软件性能的技术无法以明确和准确的方式处理全部信息。本文还创建了另一种方法,用于评估通过相似性和蓬松方法思考的所讨论的通过所有或数字信息来谈论的企业的软件消耗。当前记录的数据集,以蓬松的理由进行调查,提供了与以前方法检查的数据集的精确相关性。软件设计是一种更广泛的培训,其中SRE是其中的子培训。软件构建担心概述、执行和处理软件进步的所有部分 [8]。软件构建的不同部分包括创建软件的财务方面以及软件、框架和人员之间的接口,以及保证所传达软件性质的实践和程序。本文利用模糊神经网络(FNN)方法,借助过去故障相关信息收集,对框架的产品可靠性进行了思考,在真实数据集和模拟数据集上都出现了数值案例。更好地执行软件可靠性评估是观察、对比和独特的 FNN 演示的,没有加入此类可验证的故障相关信息。

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