Determinants of adoption for open-source office applications: A plural investigation

This article focuses on the determinants influencing organizational adoption of vendor-supported open-source software applications or open-source office applications (OSOAs). We employed a plural investigation with QUAL/QUAN sequence. Empirical analysis of the data obtained from 257 IT managers identified various technological, organizational, and environmental determinants that influence the OSOA adoption either positively or negatively. These findings offer valuable insights for IT managers and OSOA vendors which can guide them in formulating appropriate strategies for OSOA adoption.     

基于模糊层次分析法的集成软件质量评估模型

通过建立软件质量点模型和软件质量度量模型,并运用模型集成的方法,构建了软件质量的集成评估模型。通过模型转换方法将其转换为层次分析模型,并针对模型中权重指标难以确定的问题引入了模糊分析的方法。最后通过一个实例验证了该方法的可行性。     

基于FAHP和FMCDM构建软件可信性评估模型*

结合软件可信性评估的特点及模糊理论的最新进展,提出一种基于模糊层次分析法和模糊多指标决策理论的评估模型。首先针对软件可信性没有一致定义的现状,提出了相对可信性的概念;接着基于模糊数理论,用三角模糊数表示专家评估中语言变量的主观性和模糊性,结合专家给出的模糊指标权重及待评软件可信等级的模糊评价,得到软件可信性的集成模糊评价;最后,将该模型应用到国内某汽车制造企业整车产品开发项目管理软件评估中,实例说明软件可信性评估的具体过程,结果验证了该模型的实效性。     

软件测试性度量框架研究

针对当前软件测试性度量框架适用范围有限、无法扩展的问题,提出一个新的度量框架。分析软件测试性概念,使用层次分析法得到新的框架结构。总结框架扩展方法,将测试性特性和影响因素加入到框架以进行软件测试性度量。其稳定性保证了框架对任何软件都具有相同的测试性度量过程和计算方法,可扩展性使得框架能随着软件技术的发展不断完善,两者为框架的通用性提供了保证。     

Integrating fuzzy theory and hierarchy concepts to evaluate software quality

This study proposes a software quality evaluation model and its computing algorithm. Existing software quality evaluation models examine multiple characteristics and are characterized by factorial fuzziness. The relevant criteria of this model are derived from the international norm ISO. The main objective of this paper is to propose a novel Analytic Hierarchy Process (AHP) approach for addressing uncertainty and imprecision in service evaluation during pre-negotiation stages, where comparative judgments of decision makers are represented as fuzzy triangular numbers. A new fuzzy prioritization method, which derives crisp priorities from consistent and inconsistent fuzzy comparison matrices, is proposed. The Fuzzy Analytic Hierarchy Process (FAHP)-based decision-making method can provide decision makers or buyers with a valuable guideline for evaluating software quality. Importantly, the proposed model can aids users and developers in assessing software quality, making it highly applicable for academic and commercial purposes.

软件文档质量的度量方法研究

软件文档的质量一直是软件开发人员,尤其是软件评测人员关注的问题.目前软件文档的质量存在着较多的问题,但是却没有相应的方法来判断文档的质量好坏程度.基于这种状况,提出了度量软件文档质量的一种方法.提出了使用质量度量模型和综合评判模型来度量软件文档质量.通过这个方法的应用,可以进行比较客观的判断文档的质量,同时得出被度量的软件文档存在不足的方面.长期的应用这种方法,可以对软件文档的编写质量进行循序渐进的改进,从而得到让使用人员满意的软件文档.     

一种目标与信息共同驱动的度量模型

目前采用CMMI模型进行过程改进的企业，尤其是中小型企业在实施度量时盲目选择度量元，缺少合适度量过程框架的指导。针对上述问题，结合现有的GQM度量模型及其改进模型,以及PSM实用软件度量模型的特点,提出了一种支持软件过程改进的目标和信息共同驱动的度量模型（GI2M-D）,给出了基于GI2M-D度量模型的软件度量过程框架。该框架使度量人员选取度量元时更有针对性和目的性,为决策者和软件过程改进者，特别是采用CMMI模型的企业在实施度量时提供有效的支持和指导。     

Framework for cloud-based software test data generation service

This paper presents the framework of cloud-based software test data generation service (CSTS) that caters to cost-effective test data generation service in a cloud environment. In contrast to existing conventional or cloud-based testing frameworks, CSTS has a number of unique benefits. First, CSTS is designed to facilitate test data generation in minimum time and cost. Second, unlike existing frameworks which mandates clients to opt for resources to test their jobs, CSTS guides customer for selecting best cluster configuration in order to minimize the cost. While the existing models do not provide any solution for trust establishment in cloud computing services, CSTS delivers it by implementing security mechanism with the provision of role based access control. The security mechanism proposed in this paper ensures the protection of data and code of different users. Third, CSTS provides a mathematical pricing model to fulfill the expectations of customers and also to maximize the net profit of service providers. Cloud service request model has also been designed that postulates service level agreements between customers and service providers. We have evaluated, compared, and analyzed our framework and have found that it outperforms other existing cloud-based frameworks.     

A combined fuzzy AHP-simulation approach to CAD software selection

In this paper, a combined approach, where the fuzzy analytic hierarchy process (AHP) and simulation come together, is presented to select the best computer-aided design (CAD) software out of the available options in the market. The fuzzy AHP is used due to the vagueness and uncertainty of the judgements of a decision maker(s), because the crisp pair-wise comparison in the conventional AHP seems to be insufficient and imprecise to capture the right judgements of the decision maker(s). In this study, first the fuzzy AHP is used to reduce a possible number of alternatives for the CAD system to an acceptable level for further study, simulation analysis. Secondly, a simulation generator as an integrated part of the fuzzy AHP is used to try the remaining alternatives, on the generated model of a real-life product organisation in which the final alternative will be used. The results of simulation experiments are obtained, and then evaluated to reach to the ultimate CAD alternative.     

Development of a fuzzy decision support framework for complex multi‐attribute decision problems: A case study for the selection of skilful basketball players

The selection of skilful players is a complicated process due to the problem criteria consisting of both qualitative and quantitative attributes as well as vague linguistic terms. This study seeks to develop a decision support framework for the selection of candidates eligible to become basketball players through the use of a fuzzy multi‐attribute decision making (MADM) algorithm. The proposed model is based on fuzzy analytic hierarchy process (FAHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) methods. The model was employed in the Youth and Sports Center of Mugla, Turkey, with the participation of seven junior basketball players aged between 7 and 14. In the present study, physical fitness measurement values and observation values of technical skills were utilized. FAHP was used to determine the weights of the criteria and the observation values of technical skills by decision makers. Physical fitness measurement values were converted to fuzzy values by using a fuzzy set approach. Subsequently, the overall ranking of the candidate players was determined by the TOPSIS method. Results were compared with human experts’ opinions. It is observed that the developed model is more reliable to be used in decision making. The model architecture and experimental results along with illustrative examples are further demonstrated in the study.     

软件需求权重的模糊网络分析法

针对软件开发中顾客需求元素间的复杂关系,分析了层次分析法（AHP）与模糊层次分析法（FAHP）在解决复杂需求权重时所存在的缺陷;运用网络分析法（ANP）与梯形模糊数相结合的模糊网络分析法,建立加权极限超矩阵求解需求元素的混合权重;对比分析了模糊网络分析法、模糊层次分析法和网络分析法的权重结果;揭示了在复杂系统中元素的相互联系和顾客需求相对重要度评价的模糊性在权重的求解中的重要性;验证了模糊网络分析法在复杂需求权重求解中的可行性。研究结果为软件开发中顾客需求复杂权重的准确求解提供了依据。     

OPEN Process Framework软件工程框架研究与应用

OPEN Process Framework（OPF）是使软件开发过程达到CMM5级标准的软件工程框架。文中讨论了基于OPF的软件过程的主要元素及实施过程，并把该过程应用于某油田数据采集系统的开发，实践证明基于OPF的软件过程可以提高团队的开发能力、降低风险、有效控制资源，为项目的开发提供了高度清晰的过程框架，规范管理和开发流程。     

A performance evaluation framework of public health distribution network for essential medicines: lessons from the select Indian states

The present work has been carried out to develop a performance evaluation framework of distribution network design in public health with specific reference to essential medicines based on six different types of public health distribution networks (PHDNs) prevalent across six Indian states. We evaluated the performance of PHDNs on the criteria of cost and service and also on the sub-criteria of cost and service by following the analytic hierarchy process. We utilized the pairwise comparison method in determining the relative importance of criteria and sub-criteria by seeking responses from several experts and subsequently evaluated the PHDNs on all sub-criteria in a 7-point Likert scale by seeking views from the same experts. Finally, we developed the “cost–service matrix,” in which cost and service have been depicted in the horizontal and vertical axes, respectively. We demonstrated the performance of six PHDNs in this matrix in terms of cost and service by plotting scores obtained by them on cost and service, respectively. The findings of the study provide rich insights to the policy planners of public health.     

基于构件和框架、面向方面的软件产品线开发方法CFB-AOD

本文提出了一种基于构件和框架、面向方面的软件产品线设计方法CFB-AOD(ComponentandFrameworkBased,AspectOrientedDesign)。CFB-AOD关注实际的软件开发过程,致力于在软件产品线的开发过程中融入构件技术、框架技术和面向方面技术,对软件开发特别是软件产品线开发有实际的指导意义。并以北航软件所白盒测试工具产品线QESat为例,介绍了CFB-AOD的实际运用。     

用于软件选型的度量模型及系统实现

针对现有软件选型手段存在的缺乏统一标准、主观性和片面性较强的问题,建立了软件选型过程模型,设计了基于模糊综合评价的软件选型度量模型,讨论了软件选型度量模型的三个层次,进而开发了可操作的软件选型度量原型系统,并通过实验验证了该系统的有效性。     

无线局域网安全量化评估方法与系统设计研究

无线网络的飞速发展使得网络安全的量化评估日益重要。从非授权接入的角度出发,建立了802.11b无线局域网试验环境和安全评估模型,对无线局域网的安全量化评估进行了深入分析。把无线局域网的安全量化评估分为两个部分：非授权接入后的网络入侵程度评估和在此基础上对整个网内主机安全性能的评估,给出了量化评估的方法和步骤,并介绍了系统实现流程。最后通过实例进行了安全量化评估分析验证。     

软件过程改进方法的研究与设计

成熟度模型(CMM)是当前国内外研究的热点。给出了如何理解CMM的基本概念,提出了两种软件过程改进方法,即基于同行评审和测试的软件过程改进方法和基于CASE工具和文档的软件过程改进方法。这两种方法是分别针对现有软件开发机构实施过程改进时遇到的实际问题,结合CMM的关键实践而设计的。最后对现有软件过程活动中存在的问题进行了相关总结。     

A minimal test practice framework for emerging software organizations

Testing takes a large share of software development efforts, and hence is of interest when seeking improvements. Several test process improvement frameworks exist, but they are extensive and much too large to be effective for smaller organizations. This paper presents a minimal test practice framework (MTPF) that allows the incremental introduction of appropriate practices at the appropriate time in rapidly expanding organizations. The process for introducing the practice framework tries to minimize resistance to change by maximizing the involvement of the entire organization in the improvement effort and ensuring that changes are made in small steps with a low threshold for each step. The practice framework created and its method of introduction have been evaluated at one company by applying the framework for a one‐year period. Twelve local software development companies have also evaluated the framework in a survey. Copyright © 2005 John Wiley & Sons, Ltd.     

SWAQ: a Semantic Web Application Quality Evaluation Framework

ABSTRACT

Semantic Web Applications (SWAs) differ from Web applications and software as they capture semantics and support heterogeneous information. Therefore, evaluation of SWA’s quality should be treated differently. Quality framework for SWAs should not only retain the attributes of Web applications and software that are relevant to SWAs, but also accommodate attributes unique to SWAs. We propose SWAQ framework comprising metrics for evaluation of SWA quality attributes, which have been validated using standard criteria for quality models. SWAQ uses analytic hierarchy process for multiple criteria decision making to rank SWAs. Moreover, a fuzzy system is employed for handling uncertainty involved in quality evaluation.     

A general modeling and analysis framework for software fault detection and correction process

Software reliability growth modeling plays an important role in software reliability evaluation. To incorporate more information and provide more accurate analysis, modeling software fault detection and correction processes has attracted widespread research attention recently. In modeling software correction processes, the assumption of fault correction time is relaxed from constant delay to random delay. However, stochastic distribution of fault correction time brings more difficulties in modeling and corresponding parameter estimation. In this paper, a framework of software reliability models containing both information from software fault detection process and correction process is studied. Different from previous extensions on software reliability growth modeling, the proposed approach is based on Markov model other than a nonhomogeneous Poisson process model. Also, parameter estimation is carried out with weighted least‐square estimation method, which emphasizes the influence of later data on the prediction. Two data sets from practical software development projects are applied with the proposed framework, which shows satisfactory performance with the results. Copyright © 2016 John Wiley & Sons, Ltd.