Relevant bibliographies by topics / Software quality evaluation

Academic literature on the topic 'Software quality evaluation'

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Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Software quality evaluation"

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Vaníček, J. "Software quality requirements." Agricultural Economics (Zemědělská ekonomika) 52, No. 4 (February 17, 2012): 177–85. http://dx.doi.org/10.17221/5014-agricecon.

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At the present time, the international standards and technical reports for system and software product quality are dispersed in several series of normative documents (ISO/IEC 9126, ISO/IEC 14598, ISO/IEC 12119 etc.). These documents are not purely consistent and do not contain a tools for exact requirements set-ups. As quality is defined as a degree to which the set of inherent characteristic fulfils requirements, the exact requirement formulation is the key point for the quality measurement evaluation. This paper presents the framework for quality requirements for software, which is recommendable to use in the new international standard series ISO/IEC 250xx developed on the SQuaRE (Software Quality Requirements and Evaluation) standardisation research project. The main part of this contribution was presented on the conference Agrarian Perspectives XIV, organised by the Czech University of Agriculture in Prague, September 20 to 21, 2005.
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Vaníček, J. "Software and data quality." Agricultural Economics (Zemědělská ekonomika) 52, No. 3 (February 17, 2012): 138–46. http://dx.doi.org/10.17221/5007-agricecon.

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The paper presents new ideas in the International SQuaRE (Software Quality Requirements and Evaluation) standardisation research project, which concerns the development of a special branch of international standards for software quality. Data can be considered as an integral part of software. The current international standard and technical report of the ISO/IEC 9126, ISO/IEC 14598 series and ISO/IEC 12119 standard covert the whole software as an indivisible entity. However, such data sets as databases and data stores have a special character and need a different structure of quality characteristic. Therefore it was decided in the SQuaRE project create a special international standard for data quality. The main idea for this standard and the critical discussion of these ideas is presented in this paper. The main part of this contribution was presented on the conference Agricultural Perspectives XIV, aligned by Czech University of Agriculture in Prague, September 20 to 21, 2005.
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Thompson, William E. "Software Quality Assurance and Evaluation." Journal of Quality Technology 23, no. 3 (July 1991): 264. http://dx.doi.org/10.1080/00224065.1991.11979334.

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Ajith Jubilson, E., and Ravi Sankar Sangam. "Software Metrics for Computing Quality of Software Agents." Journal of Computational and Theoretical Nanoscience 17, no. 5 (May 1, 2020): 2035–38. http://dx.doi.org/10.1166/jctn.2020.8845.

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Metrics are the essential building blocks for any evaluation process. They establish specific goals for improvement. Multi agent system (MAS) is complex in nature, due to the increase in complexity of developing a multi agent system, the existing metrics are less sufficient for evaluating the quality of an MAS. This is due to the fact that agent react in an unpredictable manner. Existing metrics for measuring MAS quality fails to addresses potential communication, initiative behaviour and learn-ability. In this work we have proposed additional metrics for measuring the software agent. A software agent for online shopping system is developed and the metrics values are obtained from it and the quality of the multi agent system is analysed.
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LAN, Yu-Qing, Tong ZHAO, Jing GAO, Hui JIE, and Mao-Zhong JIN. "Quality Evaluation of Foundational Software Platform." Journal of Software 20, no. 3 (March 9, 2010): 567–82. http://dx.doi.org/10.3724/sp.j.1001.2009.03443.

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McDaniel, James G. "Improving system quality through software evaluation." Computers in Biology and Medicine 32, no. 3 (May 2002): 127–40. http://dx.doi.org/10.1016/s0010-4825(02)00010-0.

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Bowen, John B. "Comments on software quality evaluation guidebook." ACM SIGSOFT Software Engineering Notes 11, no. 1 (January 1986): 19. http://dx.doi.org/10.1145/382300.382305.

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Kumar, Pradeep, Raghav Yadav, and Dileram Bansal. "Usability and Evaluation of Software Quality using Software Metrics." International Journal of Computer Applications 71, no. 3 (June 26, 2013): 9–14. http://dx.doi.org/10.5120/12336-8606.

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VILLALBA, M. TERESA, LUIS FERNÁNDEZ-SANZ, JUAN J. CUADRADO-GALLEGO, and JOSE J. MARTÍNEZ. "SOFTWARE QUALITY EVALUATION FOR SECURITY COTS PRODUCTS." International Journal of Software Engineering and Knowledge Engineering 20, no. 01 (February 2010): 27–48. http://dx.doi.org/10.1142/s0218194010004633.

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Increasing demand for security commercial products requires an improvement of methods for evaluating their software quality. Existing standards offer general frameworks but more specific models which reflect the perception of experts and customers as well as the particular characteristics of this type of products are needed. This article presents a method for generating domain-oriented software quality models for specific types of applications. It is applied to the generation of a model for security COTS products based on systematic review of standards, related literature and conclusions of evaluation experiences as well as the statistical analysis of information collected from 203 security experts and practitioners. Results reveal interesting conclusions on the importance given by users to the different quality characteristics of security commercial software products.
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Liu, Xiao Ying, and Jian Zhang. "Software Quality Evaluation for Vehicle Based on Set Pair Theory." Applied Mechanics and Materials 738-739 (March 2015): 1332–37. http://dx.doi.org/10.4028/www.scientific.net/amm.738-739.1332.

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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.
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Dissertations / Theses on the topic "Software quality evaluation"

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Jah, Muzamil. "Software metrics : usability and evaluation of software quality." Thesis, University West, Department of Economics and IT, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:hv:diva-548.

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It is difficult to understand, let alone improve, the quality of software without the knowledge of its software development process and software products. There must be some measurement process to predict the software development, and to evaluate the software products. This thesis provides a brief view on Software Quality, Software Metrics, and Software Metrics methods that will predict and measure the specified quality factors of software. It further discusses about the Quality as given by the standards such as ISO, principal elements required for the Software Quality and Software Metrics as the measurement technique to predict the Software Quality. This thesis was performed by evaluating a source code developed in Java, using Software Metrics, such as Size Metrics, Complexity Metrics, and Defect Metrics. Results show that, the quality of software can be analyzed, studied and improved by the usage of software metrics.

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Barney, Sebastian. "Software Quality Alignment : Evaluation and Understanding." Doctoral thesis, Karlskrona : Blekinge Institute of Technology, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-00492.

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Background: The software development environment is growing increasingly complex, with a greater diversity of stakeholders involved in product development. Moves towards global software development with onshoring, offshoring, insourcing and outsourcing have seen a range of stakeholders introduced to the software development process, each with their own incentives and understanding of their product. These differences between the stakeholders can be especially problematic with regard to aspects of software quality. The aspects are often not clearly and explicitly defined for a product, but still essential for its long-term sustainability. Research shows that software projects are more likely to succeed when the stakeholders share a common understanding of software quality. Objectives: This thesis has two main objectives. The first is to develop a method to determine the level of alignment between stakeholders with regard to the priority given to aspects of software quality. Given the ability to understand the levels of alignment between stakeholders, the second objective is to identify factors that support and impair this alignment. Both the method and the identified factors will help software development organisations create work environments that are better able to foster a common set of priorities with respect to software quality. Method: The primary research method employed throughout this thesis is case study research. In total, six case studies are presented, all conducted in large or multinational companies. A range of data collection techniques have been used, including questionnaires, semi-structured interviews and workshops. Results: A method to determine the level of alignment between stakeholders on the priority given to aspects of software quality is presented—the Stakeholder Alignment Assessment Method for Software Quality (SAAM-SQ). It is developed by drawing upon a systematic literature review and the experience of conducting a related case study. The method is then refined and extended through the experience gained from its repeated application in a series of case studies. These case studies are further used to identify factors that support and impair alignment in a range of different software development contexts. The contexts studied include onshore insourcing, onshore outsourcing, offshore insourcing and offshore outsourcing. Conclusion: SAAM-SQ is found to be robust, being successfully applied to case studies covering a range of different software development contexts. The factors identified from the case studies as supporting or impairing alignment confirm and extend research in the global software development domain.
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ALVARO, Alexandre. "A software component quality framework." Universidade Federal de Pernambuco, 2009. https://repositorio.ufpe.br/handle/123456789/1372.

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
Um grande desafio da Engenharia de Software Baseada em Componentes (ESBC) é a qualidade dos componentes utilizados em um sistema. A confiabilidade de um sistema baseado em componentes depende da confiabilidade dos componentes dos quais ele é composto. Na ESBC, a busca, seleção e avaliação de componentes de software é considerado um ponto chave para o efetivo desenvolvimento de sistemas baseado em componentes. Até agora a indústria de software tem se concentrado nos aspectos funcionais dos componentes de software, deixando de lado uma das tarefas mais árduas, que é a avaliação de sua qualidade. Se a garantia de qualidade de componentes desenvolvidos in-house é uma tarefa custosa, a garantia da qualidade utilizando componentes desenvolvidos externamente os quais frequentemente não se tem acesso ao código fonte e documentação detalhada se torna um desafio ainda maior. Assim, esta Tese introduz um Framework de Qualidade de Componentes de Software, baseado em módulos bem definidos que se complementam a fim de garantir a qualidade dos componentes de software. Por fim, um estudo experimental foi desenvolvido e executado de modo que se possa analisar a viabilidade do framework proposto
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CARVALHO, Fernando Ferreira de. "An embedded software component quality evaluation methodology." Universidade Federal de Pernambuco, 2010. https://repositorio.ufpe.br/handle/123456789/2412.

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Universidade de Pernambuco
Um dos maiores desafios para a indústria de embarcados é fornecer produtos com alto nível de qualidade e funcionalidade, a um baixo custo e curto tempo de desenvolvimento, disponibilizando-o rapidamente ao mercado, aumentando assim, o retorno dos investimentos. Os requisitos de custo e tempo de desenvolvimento têm sido abordados com bastante êxito pela engenharia de software baseada em componentes (CBSE) aliada à técnica de reuso de componentes. No entanto, a utilização da abordagem CBSE sem as devidas verificações da qualidade dos componentes utilizados, pode trazer conseqüências catastróficas (Jezequel et al., 1997). A utilização de mecanismos apropriados de pesquisa, seleção e avaliação da qualidade de componentes são considerados pontos chave na adoção da abordagem CBSE. Diante do exposto, esta tese propõe uma Metodologia para Avaliação da Qualidade de Componentes de Software Embarcados sob diferentes aspectos. A idéia é solucionar a falta de consistência entre as normas ISO/IEC 9126, 14598 e 2500, incluindo o contexto de componente de software e estendendo-o ao domínio de sistemas embarcados. Estas normas provêem definições de alto nível para características e métricas para produtos de software, mas não provêem formas de usá-las efetivamente, tornando muito difícil aplicá-las sem adquirir mais informações de outras fontes. A Metodologia é composta de quatro módulos que se complementam em busca da qualidade, através de um processo de avaliação, um modelo de qualidade, técnicas de avaliação agrupadas por níveis de qualidade e uma abordagem de métricas. Desta forma, ela auxilia o desenvolvedor de sistemas embarcado no processo de seleção de componentes, avaliando qual componente melhor se enquadra nos requisitos do sistema. É utilizada por avaliadores terceirizados quando contratados por fornecedores a fim de obter credibilidade em seus componentes. A metodologia possibilita avaliar a qualidade do componente embarcado antes do mesmo ser armazenado em um sistema de repositório, especialmente no contexto do framework robusto para reuso de software, proposto por Almeida (Almeida, 2004)
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Kristensson, David. "Quality assurance in software development & evaluation of existing quality systems." Thesis, University West, Department of Economics and Informatics, 2004. http://urn.kb.se/resolve?urn=urn:nbn:se:hv:diva-522.

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Owrak, Ali. "A quality evaluation model for service-oriented software." Thesis, University of Manchester, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.499901.

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BERTRAN, ISELA MACIA. "EVALUATION OF SOFTWARE QUALITY BASED ON UML MODELS." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2009. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=13748@1.

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COORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR
Um dos objetivos da engenharia de software é a construção de software com um nível de qualidade elevado com o menor custo e no menor tempo possível. Nesse contexto, muitas técnicas para o controle da qualidade de design de software têm sido definidas. Além disso, mecanismos baseados em métricas para a detecção de problemas também têm sido definidos. A maioria dessas técnicas e mecanismos foca a análise do código fonte. Porém, para reduzir retrabalho inútil, é importante utilizar técnicas de análise da qualidade capazes de detectar problemas de design já desde os modelos dos sistemas. Esta dissertação propõe: (i) um conjunto de estratégias de detecção para identificar, em modelos UML, problemas de design específicos e recorrentes na literatura: Long Parameter List, God Class, Data Class, Shotgun Surgery, Misplaced Class e God Package, e (ii) a utilização do modelo da qualidade QMOOD para avaliar design de software a partir de seus diagramas de classes. Para automatizar a aplicação destes mecanismos foi implementada uma ferramenta: a QCDTool. Os mecanismos desenvolvidos foram avaliados no contexto de dois estudos experimentais. O primeiro estudo avaliou a acurácia, precisão e recall das estratégias de detecção propostas. Esse estudo mostrou os benefícios e desvantagens da aplicação, em modelos, das estratégias de detecção propostas. O segundo estudo avaliou a utilidade da aplicação do modelo da qualidade QMOOD em diagramas UML. Esse estudo mostrou que foi possível identificar, em diagramas de classes, variações das propriedades de design, e, conseqüentemente, dos atributos da qualidade nos sistemas analisados.
One of the goals of software engineering is the development of high quality software at a small cost an in a short period of time. In this context, several techniques have been defined for controlling the quality of software designs. Furthermore, many metrics-based mechanisms have been defined for detecting software design flaws. Most of these mechanisms and techniques focus on analyzing the source code. However, in order to reduce unnecessary rework it is important to use quality analysis techniques that allow the detection of design flaws earlier in the development cycle. We believe that these techniques should analyze design flaws starting from software models. This dissertation proposes: (i) a set of strategies to detect, in UML models, specific and recurrent design problems: Long Parameter List, God Class, Data Class, Shotgun Surgery, Misplaced Class and God Package; (ii) and the use of QMOOD quality model to analyze class diagrams. To automate the application of these mechanisms we implemented a tool: the QCDTool. The detection strategies and QMOOD model were evaluated in the context of two experimental studies. The first study analyzed the accuracy, precision and recall of the proposed detection strategies. The second study analyzed the utility of use QMOOD quality model in the class diagrams. The results of the first study have shown the benefits and drawbacks of the application in class diagrams of some of the proposed detection strategies. The second study shows that it was possible to identify, based on class diagrams, variations of the design properties and consequently, of the quality attributes in the analyzed systems.
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Jabangwe, Ronald. "Software Quality Evaluation for Evolving Systems in Distributed Development Environments." Doctoral thesis, Blekinge Tekniska Högskola, Institutionen för programvaruteknik, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-00613.

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Context: There is an overwhelming prevalence of companies developing software in global software development (GSD) contexts. The existing body of knowledge, however, falls short of providing comprehensive empirical evidence on the implication of GSD contexts on software quality for evolving software systems. Therefore there is limited evidence to support practitioners that need to make informed decisions about ongoing or future GSD projects. Objective: This thesis work seeks to explore changes in quality, as well as to gather confounding factors that influence quality, for software systems that evolve in GSD contexts. Method: The research work in this thesis includes empirical work that was performed through exploratory case studies. This involved analysis of quantitative data consisting of defects as an indicator for quality, and measures that capture software evolution, and qualitative data from company documentations, interviews, focus group meetings, and questionnaires. An extensive literature review was also performed to gather information that was used to support the empirical investigations. Results: Offshoring software development work, to a location that has employees with limited or no prior experience with the software product, as observed in software transfers, can have a negative impact on quality. Engaging in long periods of distributed development with an offshore site and eventually handing over all responsibilities to the offshore site can be an alternative to software transfers. This approach can alleviate a negative effect on quality. Finally, the studies highlight the importance of taking into account the GSD context when investigating quality for software that is developed in globally distributed environments. This helps with making valid inferences about the development settings in GSD projects in relation to quality. Conclusion: The empirical work presented in this thesis can be useful input for practitioners that are planning to develop software in globally distributed environments. For example, the insights on confounding factors or mitigation practices that are linked to quality in the empirical studies can be used as input to support decision-making processes when planning similar GSD projects. Consequently, lessons learned from the empirical investigations were used to formulate a method, GSD-QuID, for investigating quality using defects for evolving systems. The method is expected to help researchers avoid making incorrect inferences about the implications of GSD contexts on quality for evolving software systems, when using defects as a quality indicator. This in turn will benefit practitioners that need the information to make informed decisions for software that is developed in similar circumstances.
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Powale, Kalkin. "Automotive Powertrain Software Evaluation Tool." Master's thesis, Universitätsbibliothek Chemnitz, 2018. http://nbn-resolving.de/urn:nbn:de:bsz:ch1-qucosa-233186.

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The software is a key differentiator and driver of innovation in the automotive industry. The major challenges for software development are increasing in complexity, shorter time-to-market, increase in development cost and demand of quality assurance. The complexity is increasing due to emission legislations, variants of product and new communication technologies being interfaced with the vehicle. The shorter development time is due to competition in the market, which requires faster feedback loops of verification and validation of developed functionalities. The increase in development cost is contributed by two factors; the first is pre-launch cost, this involves the cost of error correction in development stages. Another is post-launch cost; this involves warranty and guarantees cost. As the development time passes the cost of error correction also increases. Hence it is important to detect the error as early as possible. All these factors affect the software quality; there are several cases where Original Equipment Manufacturer (OEM) have callbacks their product because of the quality defect. Hence, there is increased in the requirement of software quality assurance. The solution for these software challenges can be the early quality evaluation in continuous integration framework environment. The most prominent in today\'s automotive industry AUTomotive Open System ARchitecture (AUTOSAR) reference architecture is used to describe software component and interfaces. AUTOSAR provides the standardised software component architecture elements. It was created to address the issues of growing complexity; the existing AUTOSAR environment does have software quality measures, such as schema validations and protocols for acceptance tests. However, it lacks the quality specification for non-functional qualities such as maintainability, modularity, etc. The tool is required which will evaluate the AUTOSAR based software architecture and give the objective feedback regarding quality. This thesis aims to provide the quality measurement tool, which will be used for evaluation of AUTOSAR based software architecture. The tool reads the AUTOSAR architecture information from AUTOSAR Extensible Markup Language (ARXML) file. The tool provides configuration ability, continuous evaluation and objective feedback regarding software quality characteristics. The tool was utilised on transmission control project, and results are validated by industry experts.
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Mårtensson, Frans. "Software Architecture Quality Evaluation : Approaches in an Industrial Context." Licentiate thesis, Karlskrona : Blekinge Institute of Technology, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-00313.

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Software architecture has been identified as an increasingly important part of software development. The software architecture helps the developer of a software system to define the internal structure of the system. Several methods for evaluating software architectures have been proposed in order to assist the developer in creating a software architecture that will have a potential to fulfil the requirements on the system. Many of the evaluation methods focus on evaluation of a single quality attribute. However, in an industrial system there are normally requirements on several quality aspects of the system. Therefore, an architecture evaluation method that addresses multiple quality attributes, e.g., performance, maintainability, testability, and portability, would be more beneficial. This thesis presents research towards a method for evaluation of multiple quality attributes using one software architecture evaluation method. A prototype-based evaluation method is proposed that enables evaluation of multiple quality attributes using components of a system and an approximation of its intended runtime environment. The method is applied in an industrial case study where communication components in a distributed realtime system are evaluated. The evaluation addresses performance, maintainability, and portability for three alternative components using a single set of software architecture models and a prototype framework. The prototype framework enables the evaluation of different components and component configurations in the software architecture while collecting data in an objective way. Finally, this thesis presents initial work towards incorporating evaluation of testability into the method. This is done through an investigation of how testability is interpreted by different organizational roles in a software developing organization and which measures of source code that they consider affecting testability.
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Books on the topic "Software quality evaluation"

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Dobbins, James H. Software quality assurance and evaluation. Milwaukee, Wis: ASQC Quality Press, 1990.

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Jones, Capers. Applied software measurement: Assuring productivity and quality. New York: McGraw-Hill, 1991.

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Jones, Capers. Applied software measurement: Assuring productivity and quality. 2nd ed. New York: McGraw-Hill, 1997.

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Applied software measurement: Global analysis of productivity and quality. 3rd ed. New York: McGraw-Hill, 2008.

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Jones, Capers. Applied software measurement: Global analysis of productivity and quality. 3rd ed. New York: McGraw-Hill, 2008.

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Jones, Capers. Applied software measurement: Global analysis of productivity and quality. 3rd ed. New York: McGraw-Hill, 2008.

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D, Ince, ed. Derivation and validation of software metrics. Oxford: Clarendon Press, 1993.

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R, Willis Ronald, ed. Software quality engineering: A total technical and management approach. Englewood Cliffs, NJ: Prentice Hall, 1988.

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Software assessments, benchmarks, and best practices / Capers Jones. Boston, Mass: Addison Wesley, 2000.

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International Organization for Standardization. Joint Technical Committee ISO/IEC JTC 1, Information Technology. Information technology - software product evaluation - quality characteristics and guidelines for their use. Geneva: International Organization for Standardization, 1991.

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Book chapters on the topic "Software quality evaluation"

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Beus-Dukic, Ljerka, and Jørgen Bøegh. "COTS Software Quality Evaluation." In COTS-Based Software Systems, 72–80. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/3-540-36465-x_7.

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Cogan, Boris I., and Tamara O. Matveeva. "Automatic Software Evaluation Based on Domain Knowledge and Formal Evaluation Specification." In Software Quality Management VI, 173–84. London: Springer London, 1998. http://dx.doi.org/10.1007/978-1-4471-1303-4_15.

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Züllighoven, Heinz, Carola Lilienthal, and Marcel Bennicke. "Software Architecture Analysis and Evaluation." In Quality of Software Architectures, 7–8. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11921998_5.

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Noemmer, Raphael, and Roman Haas. "An Evaluation of Test Suite Minimization Techniques." In Software Quality: Quality Intelligence in Software and Systems Engineering, 51–66. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-35510-4_4.

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Tenhunen, Vesa, and Jorma Sajaniemi. "An Evaluation of Inspection Automation Tools." In Software Quality — ECSQ 2002, 351–61. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-47984-8_38.

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Florentz, Bastian, and Michaela Huhn. "Embedded Systems Architecture: Evaluation and Analysis." In Quality of Software Architectures, 145–62. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11921998_14.

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Cellino, D. "Software applications complexity evaluation in a bank environment." In Achieving Quality in Software, 400–411. Boston, MA: Springer US, 1996. http://dx.doi.org/10.1007/978-0-387-34869-8_32.

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Kunda, Douglas. "STACE: Social Technical Approach to COTS Software Evaluation." In Component-Based Software Quality, 64–84. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-45064-1_4.

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Lyness, J. N. "Evaluation of minimization software based on performance profile techniques." In Quality of Numerical Software, 152–54. Boston, MA: Springer US, 1997. http://dx.doi.org/10.1007/978-1-5041-2940-4_11.

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Enright, W. H., and H. Hayashi. "The evaluation of numerical software for delay differential equations." In Quality of Numerical Software, 179–93. Boston, MA: Springer US, 1997. http://dx.doi.org/10.1007/978-1-5041-2940-4_14.

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Conference papers on the topic "Software quality evaluation"

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CLOUGH, A. "Software component quality evaluation." In 8th Computing in Aerospace Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1991. http://dx.doi.org/10.2514/6.1991-3760.

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"SOFTWARE QUALITY MANAGEMENT FLOSS TOOLS EVALUATION." In 12th International Conference on Enterprise Information Systems. SciTePress - Science and and Technology Publications, 2010. http://dx.doi.org/10.5220/0002905303870390.

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Roehrig, Hans, William J. Dallas, Hartwig R. Blume, and Mahesh Sivarudrappa. "Software for CRT image quality evaluation." In Medical Imaging 2000, edited by Seong K. Mun. SPIE, 2000. http://dx.doi.org/10.1117/12.383068.

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Wen-Hong, Liu, and Wu Xin. "The Software Quality Evaluation Method Based on Software Testing." In 2012 International Conference on Computer Science and Service System (CSSS). IEEE, 2012. http://dx.doi.org/10.1109/csss.2012.369.

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Lee, Joon-Sang, Oksoon Jeon, and Jewhi Ryu. "Performance Evaluation Framework for Software Quality Engineering." In 2009 9th International Conference on Quality Software (QSIC). IEEE, 2009. http://dx.doi.org/10.1109/qsic.2009.65.

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Fontana, Francesca Arcelli, and Stefano Maggioni. "Metrics and Antipatterns for Software Quality Evaluation." In 2011 34th Annual IEEE Software Engineering Workshop (SEW). IEEE, 2011. http://dx.doi.org/10.1109/sew.2011.13.

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Li Xiaoli, Liu Chao, Ding Wenrui, and Wang Lei. "Software dependability evaluation based on quality characteristics." In 2nd International Conference on Computer and Automation Engineering (ICCAE 2010). IEEE, 2010. http://dx.doi.org/10.1109/iccae.2010.5452054.

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Banerjee, Prasenjit, and Anirban Sarkar. "Quality Evaluation Framework for Component Based Software." In the Second International Conference. New York, New York, USA: ACM Press, 2016. http://dx.doi.org/10.1145/2905055.2905223.

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Ahmad, Jamshed, and Abdul Wahid Khan. "Software Outsourcing Quality Evaluation Management Model (SOQEMM)." In 2020 3rd International Conference on Computing, Mathematics and Engineering Technologies (iCoMET). IEEE, 2020. http://dx.doi.org/10.1109/icomet48670.2020.9073839.

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Behutiye, Woubshet, Pertti Seppänen, Pilar Rodríguez, and Markku Oivo. "Documentation of Quality Requirements in Agile Software Development." In EASE '20: Evaluation and Assessment in Software Engineering. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3383219.3383245.

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Reports on the topic "Software quality evaluation"

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Dyson, Karen A. Quality Evaluation System (QUES) Software Quality Framework as Implemented in QUES. Volume 2. Fort Belvoir, VA: Defense Technical Information Center, December 1991. http://dx.doi.org/10.21236/ada252976.

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Dempsey, Terri L. Handling the Qualitative Side of Mixed Methods Research: A Multisite, Team-Based High School Education Evaluation Study. RTI Press, September 2018. http://dx.doi.org/10.3768/rtipress.2018.mr.0039.1809.

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Abstract:
Attention to mixed methods studies research has increased in recent years, particularly among funding agencies that increasingly require a mixed methods approach for program evaluation. At the same time, researchers operating within large-scale, rapid-turnaround research projects are faced with the reality that collection and analysis of large amounts of qualitative data typically require an intense amount of project resources and time. However, practical examples of efficiently collecting and handling high-quality qualitative data within these studies are limited. More examples are also needed of procedures for integrating the qualitative and quantitative strands of a study from design to interpretation in ways that can facilitate efficiencies. This paper provides a detailed description of the strategies used to collect and analyze qualitative data in what the research team believed to be an efficient, high-quality way within a team-based mixed methods evaluation study of science, technology, engineering, and math (STEM) high-school education. The research team employed an iterative approach to qualitative data analysis that combined matrix analyses with Microsoft Excel and the qualitative data analysis software program ATLAS.ti. This approach yielded a number of practical benefits. Selected preliminary results illustrate how this approach can simplify analysis and facilitate data integration.
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Barbacci, Mario R., Mark H. Klein, and Charles B. Weinstock. Principles for Evaluating the Quality Attributes of a Software Architecture. Fort Belvoir, VA: Defense Technical Information Center, March 1997. http://dx.doi.org/10.21236/ada324233.

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Xing, Lei, Hongmin Guo, and Zhiqian Wang. Efficacy and safety of Suzi Jiangqi Decoction in patients with acute exacerbation of chronic obstructive pulmonary disease A protocol for systematic review and meta analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, August 2021. http://dx.doi.org/10.37766/inplasy2021.8.0035.

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Background: Chronic obstructive pulmonary disease (COPD) is characterized by chronic respiratory symptoms. The respiratory symptoms of patients with acute exacerbation of COPD (AECOPD) worsen rapidly. At present, traditional western medicine treatment can not effectively alleviate the symptoms and attack frequency of patients. Suzi Jiangqi decoction(SZJQ) has a good clinical effect in the treatment of AECOPD. Due to the lack of evidence-based medicine, it can not provide an effective systematic evaluation for the treatment of AECOPD with Suzi Jiangqi decoction. Therefore, it is necessary to provide high-quality evidence evaluation for the clinical efficacy and safety of Suzi Jiangqi Decoction in the treatment of AECOPD. Methods: Two researchers independently retrieved randomized controlled trial (RCT) and quasi-RCTs of SZJQ in the treatment of AECOPD from databases including PubMed, Web of science, the Cochrane Library, CBM, CNKI, Sinomed, VIP and WanFang.The included studies were evaluated for quality according to the RCT quality assessment method provided by Cochrane Reviewer's Handbook 5.3.Review Manager 5.3 software provided by the Cochrane collaboration was used for meta-analysis. Results: This study will provide systematic review on the efficacy and safety of SZJQ as adjuvant therapy in patients with AECOPD by rigorous quality assessment and reasonable data synthesis. Conclusions: This systematic review will provide the good evidence currently on SZJQ as adjuvant therapy in patients with AECOPD.
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