Software Quality Evaluation Research Articles

Ontology Software Quality Model for Fuzzy Logic Evaluation Approach

A software quality model is a very useful instrument for software quality evaluation. Researchers have studied the axis of modeling and evaluating software quality and several approaches have been proposed. These approaches were limited to a specific use field and did not offer a quality profile enabling us to evaluate a global software quality model. The evaluation based on International Organization for Standardization (ISO) models has emerged; however, these models do not guide us for their use in a global evaluation approach.In this paper we treat extracted data from an ambient distributed system. Our work presents the following contributions:(i) creating a generic software quality model based on several existing software quality standards, (ii) proposing an instantiation algorithm to extract specified software evaluation model from generic software quality models, (iii) proposing a new global evaluation approach of the specified software evaluation model using measurement metrics and fuzzy logic.

Combined architectural framework for the selection of architectures using ATAM, FAHP and CBAM

Software architecture is the framework for all the technical decisions and as such has a tremendous impact on product cost and quality. It is always cost-effective to evaluate software quality as early as possible in the system development life cycle. Software architecture should be designed such that it reflects business goals and quality attributes QAs of the system for which the architecture is being designed, and architecture evaluation methods enable us to evaluate how well they are reflected in the designed architecture. The widely used architecture evaluation methods are the architectural trade-off analysis method ATAM and the cost benefit analysis method CBAM. ATAM assists architects in identifying trade-offs among QAs and identifying risks when they design architecture. CBAM helps architects select architectures that are optimal for a given requirement during its evolution by calculating economical trade-offs based on the benefits and costs. Owing to the uncertainty in the judgement for quality attributes in the conventional AHP used in ATAM, a fuzzy-based quantitative evaluation framework for accessing quality attributes is developed to facilitate the selection of the underlying architectures. This software architecture evaluation framework addresses the competing objectives of cost minimisation and quality maximisation between different architectural options.

Combined architectural framework for the selection of architectures using ATAM, FAHP and CBAM

Software architecture is the framework for all the technical decisions and as such has a tremendous impact on product cost and quality. It is always cost-effective to evaluate software quality as early as possible in the system development life cycle. Software architecture should be designed such that it reflects business goals and quality attributes (QAs) of the system for which the architecture is being designed, and architecture evaluation methods enable us to evaluate how well they are reflected in the designed architecture. The widely used architecture evaluation methods are the architectural trade-off analysis method (ATAM) and the cost benefit analysis method (CBAM). ATAM assists architects in identifying trade-offs among QAs and identifying risks when they design architecture. CBAM helps architects select architectures that are optimal for a given requirement during its evolution by calculating economical trade-offs based on the benefits and costs. Owing to the uncertainty in the judgement for quality attributes in the conventional AHP used in ATAM, a fuzzy-based quantitative evaluation framework for accessing quality attributes is developed to facilitate the selection of the underlying architectures. This software architecture evaluation framework addresses the competing objectives of cost minimisation and quality maximisation between different architectural options.

A Cloud Service Implementation for Evaluating Design Pattern in Software Evolution

In recent years, the influences of design patterns on software quality have attracted increasing attention in the area of software engineering, as design patterns encapsulate valuable knowledge to resolve design problems, and more importantly to improve the design quality. Our previous research has proposed a utilization evaluation method to assess the design pattern's quality. As the versions of evaluated software project grows, the analysis time increases in pace with the increasing source code size. The computation performance cannot be applicable to the practical data analysis. However, the computation performance and large data processes can be improved by cloud computing which provides internet-based and scalable infrastructure, platforms and services. In this research, we draw a picture of implementing a software quality evaluation cloud by developing a utilization evaluation cloud service based on powerful computing capability to process a large amount of data. The experimental results show that the cloud service architecture can indeed improve the computation performance.

Methodology and quality estimation models of software of information systems

The problem of quality estimation of the difficult program systems is considered. The basic models of estimation of quality and reliability of software are investigated, and also the analysis of advantages and disadvantages of existent models is conducted. With the purpose of development of the single methodological approach to the evaluation of software quality and efficiency of its application it is offered to apply the substantive provisions of qualimetry. Some quantitative and qualiative models of estimation of quality software are offered

Software Quality Evaluation for Vehicle Based on Set Pair Theory

A software quality evaluation method for vehicle based on set pair theory was proposed. The evaluating index system of software quality evaluation for vehicle was constructed. The software quality evaluation models were constructed by using four-element connection number of set pair theory. Then the computer-implemented method was given, and was verified by an example. Finally, the practical application showed that the evaluation method was simple, effective and had good practicality.

모바일 커머스 시험 평가 방법

Abstract As smartphone penetration increases are mobile payments service are expanding. Mobile Commerce software market is trend that is soaring. Accordingly, high reliability Mobile Commerce request of high quality are enlarged. And The greater amount of data is going to be more mobile commerce market situation is also gradually increased. In this paper, I surveyed and analysed the general trend and test/certification trend of mobile commerce software, and developed the mobile commerce software quality evaluation metrics base on ISO/IEC 9126 and ISO/IEC 12119, the standard about the quality evaluation. Key Words : Mobile Commerce, Software, Quality Evaluation, Test Evaluation * “이 논문은 2013년 호서대학교의 재원으로 학술연구비 지원을 받아 수행된 연구임“(2013-0325)Received 10 November 2014, Revised 29 December 2014Accepted 20 February 2015Corresponding Author: Hae-Sool Yang(Graduate School of Venture, Hoseo University)Email: hsyang@hoseo.eduⒸ The Society of Digital Policy & Management. All rights reserved. This is an open-access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is ISSN: 1738-1916 properly cited.

ISO9126 Based Software Quality Evaluation Using Choquet Integral

Evaluating software quality is an important and essential issue in the development process because it helps to deliver a competitive software product. A decision of selecting the best software based on quality attributes is a type of multi-criteria decision-making (MCDM) processes where interactions among criteria should be considered. This paper presents and develops quantitative evaluations by considering interactions among criteria in the MCDM problems. The aggregator methods such as Arithmetic Mean (AM) and Weighted Arithmetic Mean (WAM) are introduced, described and compared to Choquet Integral (CI) approach which is a type of fuzzy measure used as a new method for MCDM. The comparisons are shown by evaluating and ranking software alternatives based on six main quality attributes as identified by the ISO 9126-1 standard. The evaluation experiments depend on real data collected from case studies.

Fuzzy Based Evaluation of Software Quality Using Quality Models and Goal Models

Software quality requirements are essential part for the success of software development. Defined and guaranteed quality in software development requires identifying, refining, and predicting quality properties by appropriate means. Goal models of goal oriented requirements engineering (GORE) and quality models are useful for modelling of functional goals as well as for quality goals. Once the goal models are obtained representing the functional requirements and integrated quality goals, there is need to evaluate each functional requirement arising from functional goals and quality requirement arising from quality goals. The process consist of two main parts. In first part, the goal models are used to evaluate functional goals. The leaf level goals are used to establish the evaluation criteria. Stakeholders are also involved to contribute their opinions about the importance of each goal (functional and/or quality goal). Stakeholder opinions are then converted into quantifiable numbers using triangle fuzzy numbers (TFN). After applying the defuzzification process on TFN, the scores (weights) are obtained for each goal. In second part specific quality goals are identified, refined/tailored based on existing quality models and their evaluation is performed similarly using TFN and by applying defuzzification process. The two step process helps to evaluate each goal based on stakeholder opinions and to evaluate the impact of quality requirements. It also helps to evaluate the relationships among functional goals and quality goals. The process is described and applied on ’cyclecomputer’ case study.

Software Process and Quality Evaluation for Semantic Web Applications

ABSTRACTSemantic Web applications offer the benefit of providing reusable machine understandable content in the form of an ontology. Machine understandability is one of the most important aspects that differentiate Semantic Web based applications from traditional software. Hence, there is a need to adapt several features of the Software Engineering paradigm to Semantic Web based application development in order to make development and delivery of the latter, more efficient. In this paper, a rigorous review of the state of the art in this area has been presented. The existing works on Software Engineering processes for Semantic Web application development, on the process for reengineering web applications to Semantic Web applications, and on the quality assessment of Semantic Web applications have been reviewed with discussion on the brief process, tools used, contribution, limitations, and some other features of each work. In addition to identified research gaps in these directions, some observations have also been drawn.

An ASPIRE-based method for quality requirements identification from business goals

Quality requirements are the main drivers for modeling and evaluating software quality at an early stage, and ASPIRE is an engineering method designed to elicit and document the quality requirements of embedded systems. This paper proposes an extension to ASPIRE to identify quality requirements from the business goals of the organization and ensure their traceability. This extension includes a set of added components created from the main concepts of the SOQUAREM methodology, including the BMM (business motivation model), derivation rules, the quality attribute utility tree, the quality attribute scenario template, the quality attribute documentation template, and ISO 9126. The applicability of the extended method is illustrated with a wireless plant control system as an example.

Real-Time Embedded Software Architecture Modeling and Reliability Evaluation Based on Time-Extended Petri Net

Software reliability is one of the most important quality indices in software quality evaluation. Reliability analysis based on software architecture has become a researching hotspot. This paper makes a review on existed architecture-based reliability evaluation models, and puts forward the shortage of these models. As petri net has a good ability of description for concurrency and asynchronism, this paper focuses on the research of petri net model. Transitions are divided into time transitions and instantaneous transitions. Time-related reliability, including time-delay reliability and temporal reliability, are added. Then the reachable state transition matrix is set up and system reliability evaluation proceeds. The method above is used into a avionics embedded software. At last we accomplish the architecture modeling, reliability evaluation, proving the effectiveness and feasibility of this method.

Relative entropy method for fuzzy multiple attribute decision making and its application to software quality evaluation

To study the problem of multiple attribute decision making in which the decision making information values are triangular fuzzy number, a relative entropy decision making method for software qualit...

Software Quality Evaluation for Control System Based on Extension Theory

A software quality evaluation method for control system based on the extension engineering analysis method is proposed. The evaluating index system of software quality evaluation for control system was constructed. The matter elements models were constructed, and the goodness of mechanical design scheme was computed by using goodness evaluation method based on correlation function calculation. Then the pros or cons of system to be evaluated were determined by comparing the goodness value of each evaluation grade. Finally, the practical application showed that the evaluation method was scientific, clear, and effective and had good practicality.

Weight Analysis based on ANP and QFD in Software Quality Evaluation

Over the past two decades, considerable efforts focused on improving software quality to satisfy the customers needs in software industry, but it is hard to deal with the customers needs for its va gue and inexact characteristic. In order to evaluate software quality accurately and comprehensively, the weights of customers needs and the weights of technical attributes of the software are determined by ANP and QFD in the paper. An illustrated example is presented to show the application of the proposed model, and the results show that the weights of product characteristics and the customer s needs in HoQ (House of Quality) analyzed by ANP can make software quality more accurate and comprehensive in software quality evaluation.

Scheme Selection of Software Quality Based on Support Vector Machine

Software Quality scheme selection is an important pre-work of software project, For software quality evaluation index are difficult to quantify and has the characteristics of uncertainty, this paper uses a nonlinear SVM classification algorithm research. Firstly, to build a software quality scheme evaluation index system composed of 12 indicators, and through hierarchical structure analysis model representation; Then, research on support vector machine, using graphic to show that the basic idea, through mathematical model to describe the algorithm, constructed Sigmoid kernel function; Finally, to perform case analysis, through 8 have been evaluated schemes to train, drawn 4 unselected scheme evaluation results. This article will apply SVM to software quality scheme selection, it is SVM a new exploration in the field of software engineering, and to improve software quality has an important significance.

The Software Quality Fuzzy Comprehensive Evaluation Method Research

For the data is fuzziness and the uncertainty on software quality evaluation,on the basis of ISO 9126 quality model,an evaluation model of software quality is established based on fuzzy comprehensive evaluation and analytic hierarchy process in this paper.Through the establishment of software quality evaluation model, we can solve the multi-index evaluation problems of software quality effectively and it can be used to guide users to improve software process.

A New Uncertainty Evaluation Method and Its Application in Evaluating Software Quality

Uncertainty theory is a branch of axiomatic mathematics dealing with experts’ belief degree. Considering the uncertainty with experts’ belief degree in the evaluation system and the different roles which different indices play in evaluating the overall goal with a hierarchical structure, a new comprehensive evaluation method is constructed based on uncertainty theory. First, index scores and weights of indices are described by uncertain variables and evaluation grades are described by uncertain sets. Second, weights of indices with respect to the overall goal are introduced. Third, a new uncertainty comprehensive evaluation method is constructed and proved to be a generalization of the weighted average method. Finally, an application is developed in evaluating software quality, which shows the effectiveness of the new method.

Software quality evaluation and forecast based on unascertained-SVR model

The software quality is a comprehensive fuzzy evaluation problem which might be divided into different layers based on its attributes. An unascertained-SVR measure for evaluating and forecasting the quality of software is established on the basis of analysing the factors affecting the quality risks of software system by applying the unascertained measure theory. Therefore, a new system is found to evaluate software quality based on the knowledge of software project. Then, the quality of software is evaluated and predicted by introducing a new mathematical model - Support Vector Regression SVR model. SVR is one of the best events on dealing with small samples, avoiding the defects of neural network that is easy to fall into local minimum and lower accuracy rate. Finally, the practical application shows that the method overcomes the defect that the variable set by experts, then makes the evaluation results objective and scientific.

Relative entropy method for fuzzy multiple attribute decision making and its application to software quality evaluation

To study the problem of multiple attribute decision making in which the decision making information values are triangular fuzzy number, a relative entropy decision making method for software quality evaluation is proposed. Then, according to the concept of the relative entropy, the relative closeness degree is defined to determine the ranking order of all alternatives by calculating the relative entropy to both the fuzzy positive-ideal solution FPIS and fuzzy negative-ideal solution FNIS simultaneously. At last, a numerical example for software quality evaluation is provided to illustrate the proposed method. The result shows the approach is simple, effective and easy to calculate.