基于模糊层次分析法的软件质量评价模型

针对软件质量评估中数据的模糊性和不确定性,在ISO9126质量模型的基础上,基于模糊综合评价法和层次分析法建立了软件质量的综合评价模型。通过对某软件进行实际评价表明,该评价模型能够对软件质量进行科学的评价并给出改进的建议,该模型具有较高的操作性、实用性,极大地提高了软件质量评价工作的效率。     

软件体系结构分析与评估方法研究

从软件体系结构的概念出发,介绍了评估需要的相关术语和技术,讨论了国内外现存的多种分析评价方法,并按照一些标准对其进行分类比较.最后对软件体系结构分析评价研究中存在的问题及未来的研究方向作了简要总结.     

软件体系结构分析与评价方法评述

近年来,软件体系结构逐渐成为软件工程领域的研究热点以及大型软件系统开发和产品线开发中的关键技术.体系结构分析评价的目的是为了识别体系结构设计中的潜在风险,帮助开发人员进行设计决策.从软件体系结构的概念出发,分类介绍了体系结构描述的不同观点,评述了国内外有代表性的分析评价方法和工具.最后探讨了软件体系结构分析评价研究中存在的不足及其原因,作为总结,给出体系结构分析评价未来的发展方向.     

软件需求定量分析及其映射的模糊层次分析法

在用数量化理论3类(quantification theory of type 3,简称QT3)定量地分析软件需求的基础上,以质量功能展开(quality function deployment,简称QFD)中的质量屋(house of quality,简称HOQ)系列矩阵为纲领,基于由模糊技术改进后的模糊层次分析法(fuzzy analytic hierarchy process,简称FAHP),提出了一种软件需求定量分析及其向设计实现过程模糊映射的方法.将该方法具体应用于CD-R/RW光盘刻录机软件的开发过程,其有效性得到了验证.     

A Basis for Analyzing Software Architecture Analysis Methods

A software architecture is a key asset for any organization that builds complex software-intensive systems. Because of an architecture's central role as a project blueprint, organizations should analyze the architecture before committing resources to it. An analysis helps to ensure that sound architectural decisions are made. Over the past decade a large number of architecture analysis methods have been created, and at least two surveys of these methods have been published. This paper examines the criteria for analyzing architecture analysis methods, and suggests a new set of criteria that focus on the essence of what it means to be an architecture analysis method. These criteria could be used to compare methods, to help understand the suitability of a method, or to improve a method. We then examine two methods—the Architecture Tradeoff Analysis Method and Architecture-level Modifiability Analysis—in light of these criteria, and provide some insight into how these methods can be improved. Rick Kazman is a Senior Member of the Technical Staff at the Software Engineering Institute of Carnegie Mellon University and Professor at the University of Hawaii. His primary research interests are software architecture, design and analysis tools, software visualization, and software engineering economics. He also has interests in human-computer interaction and information retrieval. Kazman has created several highly influential methods and tools for architecture analysis, including the SAAM and the ATAM. He is the author of over 80 papers, and co-author of several books, including “Software Architecture in Practice”, and “Evaluating Software Architectures: Methods and Case Studies”. Len Bass is a Senior Member of the Technical Staff at the Software Engineering Institute (SEI). He has written two award winning books in software architecture as well as several other books and numerous papers in a wide variety of areas of computer science and software engineering. He is currently working on techniques for the methodical design of software architectures and to understand how to support usability through software architecture. He has been involved in the development of numerous different production or research software systems ranging from operating systems to database management systems to automotive systems. Mark Klein is Senior Member of the Technical Staff of the Software Engineering Institute. He has over 20 years of experience in research on various facets of software engineering, dependable real-time systems and numerical methods. Klein's most recent work focuses on the analysis of software architectures, architecture tradeoff analysis, attribute-driven architectural design and scheduling theory. Klein's work in real-time systems involved the development of rate monotonic analysis (RMA), the extension of the theoretical basis for RMA, and its application to realistic systems. Klein's earliest work involved research in high-order finite element methods for solving fluid flow equations arising in oil reservoir simulation. He is the co-author two books: “A Practitioner's Handbook for Real-Time Analysis: Guide to Rate Monotonic Analysis for Real-Time Systems” and “Evaluating Software Architecture: Methods and Case Studies”. Anthony J. Lattanze is an Associate Teaching Professor at the Institute for Software Research International (ISRI) at Carnegie Mellon University (CMU) and a senior member of the technical staff at the Software Engineering Institute (SEI). Anthony teaches courses in CMUs Masters of Software Engineering Program in Software Architecture, Real-Time/Embedded Systems, and Software Development Studio. His primary research interest is in the area software architectural design for embedded, software intensive systems. Anthony consults and teaches throughout industry in the areas of software architecture design and architecture evaluation. Prior to Carnegie Mellon, Mr. Lattanze was the Chief of Software Engineering for the Technology Development Group at the United States Flight Test Center at Edwards Air Force Base, CA. During his tenure at the Flight Test Center, he was involved with a number of software and systems engineering projects as a software and systems architect, project manager, and developer. During this time as he was involved with the development, test, and evaluation of avionics systems for the B-2 Stealth Bomber, F-117 Stealth Fighter, and F-22 Advanced Tactical Fighter among other systems. Linda Northrop is the director of the Product Line Systems Program at the Software Engineering Institute (SEI) where she leads the SEI work in software architecture, software product lines and predictable component engineering. Under her leadership the SEI has developed software architecture and product line methods that are used worldwide, a series of five highly-acclaimed books, and Software Architecture and Software Product Line Curricula. She is co-author of the book, “Software Product Lines: Practices and Patterns,” and a primary author of the SEI Framework for Software Product Line Practice.     

基于层次分析法的科研信用评价模型优化

为了提高科研信用评价能力,提出层次分析法的科研信用评价模型.采用空间分布式信息重构方法进行科研信用评价的模糊特征重组,进行科研信用多元评价的信息挖掘和特征提取与进行科研信用评价的均衡配置和线性规划设计,实现科研信用评价的层次化分析和特征重建.采用二乘规划模型进行科研信用评价的大数据调度和模糊空间信息采样,结合资源优化调...     

层次分析法在网络用户信任度评价模型中的研究

随着计算机技术和网络的发展,充分挖掘用户之间信任关系成为各大网络运营平台的关注热点.本文提出利用用户信息作为评价指标构建用户信任度评价模型的方法,并将层次分析法应用于模型构建,以缓解多指标权重设定中人为主观因素干扰问题.文章介绍了层次分析法工作流程并给出了用户信任度评价模型中各评价指标的权重,层次分析法的引入使得用户信任度评价模型更为科学、简洁、有效.     

基于随机层次分析法的虚拟企业风险评价

分析虚拟企业风险因素的层次结构以及量化评价中的不确定性,设计了随机层次分析法(SAHP)来对其风险进行评价.在随机层次分析法中,将专家咨询法过程中的不确定性描述为随机变量,得到随机判断矩阵.进而应用随机模拟方法确定随机判断矩阵中元素的估计值.运用随机层次分析法对某虚拟企业三个备选组建方案的风险评价进行了实证分析,阐明该方法对于多指标、不确定性的最优方案选择问题是一种科学、可行的方法.     

层次分析算法及优化在网络视频评比中的实践

随着新媒体时代的到来,网络信息传播变得更加便捷,很多单位开展了视频网上评比活动,但往往对其缺少合理快捷的评估方法.本文通过分析视频网上评比的影响因素,构建出多指标的层次分析模型.文章介绍了层次分析法及其基于PageRank的优化算法的主要步骤,利用它求出各评比指标的权值,从而给出评比计算方法.本文的研究方法为处理多指标问题提供了一些参考价值.     

层次分析法在农村配电网规划决策中的应用

在分析区农村配电网特点与经济特性的基础上,建立区农村配电网规划经济性评估指标体系,并介绍层次分析法在配电网规划经济性分析评估的应用。