963 resultados para software quality attribute


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Uma série de iniciativas para melhoria do processo de software surgiu recentemente visando melhorar a qualidade e a produtividade em organizações de desenvolvimento de software. Alguns modelos e normas têm buscado a implantação de melhorias no processo de desenvolvimento de software, o MPS.BR é um deles. Esse modelo de melhoria de processo é voltado para as micro, pequenas e médias empresas, de forma a atender as suas necessidades de negócio e foi o modelo escolhido para ser explorado nesse trabalho. Várias são as vantagens adquiridas com a implantação de um modelo de melhoria, umas delas é a definição de um processo sistemático de desenvolvimento de software, que auxilie tanto na qualidade e produtividade do processo quanto na qualidade do produto desenvolvido. Com um modelo de processo definido a organização pode contar com diversos benefícios associados à padronização, como, por exemplo, a otimização, a redução de custos com retrabalho, a redução de defeitos nos produtos, dentre outros. Mas não existem modelos prontos que possam ser aplicados diretamente a uma empresa específica de desenvolvimento de software e, por isso, é necessário modelar o processo, customizando-o, com o objetivo final de gerar um modelo que adequadamente represente o processo da organização. Uma das dificuldades para a implantação de modelos como o MPS.BR é a falta de metodologia que mostre como a implantação de melhoria deve ser feita e não apenas o que deve ser feito. Este trabalho propõe uma metodologia para a implementação do modelo MPS.BR baseada no modelo de implantação IDEAL, através de uma ferramenta específica, chamada WebAPSEE. A metodologia foi experimentada no CTIC - Centro de Tecnologia da Informação e Comunicação da UFPA que ao final do trabalho foi avaliado Nível G do MPS.BR.

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Pós-graduação em Engenharia e Ciência de Alimentos - IBILCE

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This paper presents a survey of evolutionary algorithms that are designed for decision-tree induction. In this context, most of the paper focuses on approaches that evolve decision trees as an alternate heuristics to the traditional top-down divide-and-conquer approach. Additionally, we present some alternative methods that make use of evolutionary algorithms to improve particular components of decision-tree classifiers. The paper's original contributions are the following. First, it provides an up-to-date overview that is fully focused on evolutionary algorithms and decision trees and does not concentrate on any specific evolutionary approach. Second, it provides a taxonomy, which addresses works that evolve decision trees and works that design decision-tree components by the use of evolutionary algorithms. Finally, a number of references are provided that describe applications of evolutionary algorithms for decision-tree induction in different domains. At the end of this paper, we address some important issues and open questions that can be the subject of future research.

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L'opera si propone di esplorare modelli innovativi, in particolare quello ad attori, per lo sviluppo di applicazioni enterprise distribuite con elevata scalabilità, prendendo come caso di studio lo sviluppo di un sistema per la gestione delle transazioni finanziarie in ambito petrolifero.

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Code profiling is an essential activity to increase software quality. It is commonly employed in a wide variety of tasks, such as supporting program comprehension, determining execution bottlenecks, and assessing code coverage by unit tests. Spy is an innovative framework to easily build profilers and visualize profiling information. The profiling information is obtained by inserting dedicated code before or after method execution. The gathered profiling information is structured in line with the application structure in terms of packages, classes, and methods. Spy has been instantiated on four occasions so far. We created profilers dedicated to test coverage, time execution, type feedback, and profiling evolution across version. We also integrated Spy in the Pharo IDE. Spy has been implemented in the Pharo Smalltalk programming language and is available under the MIT license.

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Detecting bugs as early as possible plays an important role in ensuring software quality before shipping. We argue that mining previous bug fixes can produce good knowledge about why bugs happen and how they are fixed. In this paper, we mine the change history of 717 open source projects to extract bug-fix patterns. We also manually inspect many of the bugs we found to get insights into the contexts and reasons behind those bugs. For instance, we found out that missing null checks and missing initializations are very recurrent and we believe that they can be automatically detected and fixed.

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The basic hedonic hypothesis is that goods are valued for their utility-bearing characteristics and not for the good itself. Each attribute can be evaluated by consumers when making a purchasing decision and an implicit price can be identified for each of them. Thus, the observed price of a certain good can be analyzed as the sum of the implicit prices paid for each quality attribute. Literature has reported hedonic models estimates in the case of wines, which are excellent examples of differentiated goods worldwide.The impact of different wine attributes (intrinsic or extrinsic) on consumers’ willingness to pay has been analyzed with dissimilar results. Wines coming from "New World" producers seem to be appreciated for different attributes than wines produced in the "Old World". Moreover, "Old and New World" consumers seem to value differently the wine’s characteristics. To our knowledge, no cross country analysis has been done dealing with "New World" wines in "Old World" countries, leaving an important gap in understanding underlying attributes influencing buying decisions.

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This paper shows the main contributions of the 1st Symposium on Improvement Process Models and Software Quality of Public Administrations. The obtained results expose the need to promote the implementation of Software Maturity Models and show possible advantages of its application in software processes of Public Administrations. Specifically, it was analyzed the current status in two process areas: Requirements Management and Subcontracting Management.

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This paper aims to obtain a baseline snapshot of the requirement management process using a two-stage questionnaire to identify both performed and non-performed CMMI practices. The questionnaire proposed in this paper may help with the assessment of the requirement management process, provide useful information related to the current state of the process, and indicate those practices that require immediate attention with the aim of begin a Software Process Improvement program.

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En los últimos años hemos sido testigos de la creciente demanda de software para resolver problemas cada vez más complejos y de mayor valor agregado. Bajo estas circunstancias, nos podemos hacer la siguiente pregunta: ¿Está preparada la industria de software para entregar el software que se necesita en los próximos años, de acuerdo con las demandas del cliente? Hoy en día, muchos expertos creen que el éxito de esta industria dependerá de su capacidad para gestionar los proyectos, las personas y los recursos. En este sentido, la gestión de proyectos es un factor clave para el éxito de los proyectos software en todo el mundo. Además, considerando que las Pequeñas y Medianas Empresas de software (PYMEs) representan el 99,87% de las empresas españolas, es vital para este tipo de empresas la implementación de los procesos involucrados con la gestión de proyectos. Es cierto que existen muchos modelos que mejoran la eficacia de la gestión de proyectos, pero la mayoría de ellos se centra únicamente en dos procesos: la planificación del proyecto y la monitorización y control del proyecto, ninguno de los cuales a menudo es asequible para las PYMEs. Estos modelos se basan en el consenso de un grupo de trabajo designado para establecer cómo debe ser gestionado el proceso software. Los modelos son bastante útiles ya que proporcionan lineamientos generales sobre dónde empezar a mejorar la gestión de los proyectos, y en qué orden, a personas que no saben cómo hacerlo. Sin embargo, como se ha dicho anteriormente, la mayoría de estos modelos solamente funcionan en escenarios dentro de las grandes empresas. Por lo tanto, es necesario adaptar los modelos y herramientas para el contexto de PYMEs. Esta tesis doctoral presenta una solución complementaria basada en la aplicación de un metamodelo. Este metamodelo es creado para mejorar la calidad de los procesos de la gestión de proyectos a través de la incorporación de prácticas eficaces identificadas a través del análisis y estudio de los modelos y normas existentes relacionadas con la gestión de proyectos. viii ProMEP – Metamodelo para la gestión de proyectos Por lo tanto, el metamodelo PROMEP (Gestión de Proyectos basada en Prácticas Efectivas) permitirá establecer un proceso estándar de gestión de proyectos que puede adaptarse a los proyectos de cada empresa a través de dos pasos: En primer lugar, para obtener una fotografía instantánea (o base) de los procesos de gestión de proyectos de las PYMEs se creó un cuestionario de dos fases para identificar tanto las prácticas realizadas y como las no realizadas. El cuestionario propuesto se basa en el Modelo de Madurez y Capacidad Integrado para el Desarrollo v1.2 (CMMI-DEV v1.2). Como resultado adicional, se espera que la aplicación de este cuestionario ayude a las PYMEs a identificar aquellas prácticas que se llevan a cabo, pero no son documentadas, aquellas que necesitan más atención, y aquellas que no se realizan debido a la mala gestión o al desconocimiento. En segundo lugar, para apoyar fácilmente y eficazmente las tareas de gestión de proyectos software del metamodelo PROMEP, se diseñó una biblioteca de activos de proceso (PAL) para apoyar la definición de los procesos de gestión de proyectos y realizar una gestión cuantitativa de cada proyecto de las PYMEs. Ambos pasos se han implementado como una herramienta computacional que apoya nuestro enfoque de metamodelo. En concreto, la presente investigación propone la construcción del metamodelo PROMEP para aquellas PYMEs que desarrollan productos software de tal forma que les permita planificar, monitorizar y controlar sus proyectos software, identificar los riesgos y tomar las medidas correctivas necesarias, establecer y mantener un conjunto de activos de proceso, definir un mecanismo cuantitativo para predecir el rendimiento de los procesos, y obtener información de mejora. Por lo tanto, nuestro estudio sugiere un metamodelo alternativo para lograr mayores niveles de rendimiento en los entornos de PYMEs. Así, el objetivo principal de esta tesis es ayudar a reducir los excesos de trabajo y el tiempo de entrega, y aumentar así la calidad del software producido en este tipo de organizaciones. Abstract In recent years we have been witnessing the increasing demand for software to solve more and more complex tasks and greater added value. Under these circumstances, we can ourselves the following question: Is the software industry prepared to deliver the software that is needed in the coming years, according to client demands? Nowadays, many experts believe that the industry’ success will depend on its capacity to manage the projects, people and resources. In this sense, project management is a key factor for software project success around the world. Moreover, taking into account that small and medium-sized software enterprises (SMSe) are the 99.87% of the Spanish enterprises, it is vital for this type of enterprises to implement the processes involved in project management. It is true that there are many models that improve the project management effectiveness, but most of them are focused only on two processes: project planning and project monitoring and control, neither of which is affordable for SMSe. Such models are based on the consensus of a designated working group on how software process should be managed. They are very useful in that they provide general guidelines on where to start improving the project management, and in which order, to people who do not know how to do it. However, as we said, the majority of these models have only worked in scenarios within large companies. So, it is necessary to adapt these models and tools to the context of SMSe. A complementary solution based on the implementation of a metamodel is presented in this thesis. This metamodel is created to improve the quality of project management processes through the incorporation of effective practices identified through the analysis and study of relevant models and standards related to project management. Thus, the PROMEP (PROject Management based on Effective Practices) metamodel will allow establishing a project management standard process to be tailored to each enterprise’s project through two steps: Firstly, to obtain a baseline snapshot of project management processes in SMSe a two-phase questionnaire was created to identify both performed and nonperformed practices. The x ProMEP – Metamodelo para la gestión de proyectos proposed questionnaire is based on Capability Maturity Model Integration for Development v1.2. As additional result, it is expected that the application of the questionnaire to the processes will help SMSe to identify those practices which are performed but not documented, which practices need more attention, and which are not implemented due to bad management or unawareness. Secondly, to easily an effectively support the software project management tasks in the PROMEP metamodel, a Process Asset Library (PAL) is designed to support the definition of project management processes and to achieve quantitative project management in SMSe. Both steps have been implemented as a computational tool that supports our metamodel approach. Concretely, the present research proposes the accomplishment of the PROMEP metamodel for those SMSe which develop software products and enable them to plan, supervise and control their software projects, identify risks and take corrective actions, establish and maintain a set of process assets, define quantitative models that predict the process performance, and provide improvement information. So, our study suggests an alternative metamodel to achieve higher performance levels in the SMSe environments. The main objective of this thesis is help to reduce software overruns and delivery time, and increase software quality in these types of organizations.

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In the last few years, technical debt has been used as a useful means for making the intrinsic cost of the internal software quality weaknesses visible. This visibility is made possible by quantifying this cost. Specifically, technical debt is expressed in terms of two main concepts: principal and interest. The principal is the cost of eliminating or reducing the impact of a, so called, technical debt item in a software system; whereas the interest is the recurring cost, over a time period, of not eliminating a technical debt item. Previous works about technical debt are mainly focused on estimating principal and interest, and on performing a cost-benefit analysis. This cost-benefit analysis allows one to determine if to remove technical debt is profitable and to prioritize which items incurring in technical debt should be fixed first. Nevertheless, for these previous works technical debt is flat along the time. However the introduction of new factors to estimate technical debt may produce non flat models that allow us to produce more accurate predictions. These factors should be used to estimate principal and interest, and to perform cost-benefit analysis related to technical debt. In this paper, we take a step forward introducing the uncertainty about the interest, and the time frame factors so that it becomes possible to depict a number of possible future scenarios. Estimations obtained without considering the possible evolution of the interest over time may be less accurate as they consider simplistic scenarios without changes.

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The verification and validation activity plays a fundamental role in improving software quality. Determining which the most effective techniques for carrying out this activity are has been an aspiration of experimental software engineering researchers for years. This paper reports a controlled experiment evaluating the effectiveness of two unit testing techniques (the functional testing technique known as equivalence partitioning (EP) and the control-flow structural testing technique known as branch testing (BT)). This experiment is a literal replication of Juristo et al. (2013).Both experiments serve the purpose of determining whether the effectiveness of BT and EP varies depending on whether or not the faults are visible for the technique (InScope or OutScope, respectively). We have used the materials, design and procedures of the original experiment, but in order to adapt the experiment to the context we have: (1) reduced the number of studied techniques from 3 to 2; (2) assigned subjects to experimental groups by means of stratified randomization to balance the influence of programming experience; (3) localized the experimental materials and (4) adapted the training duration. We ran the replication at the Escuela Politécnica del Ejército Sede Latacunga (ESPEL) as part of a software verification & validation course. The experimental subjects were 23 master?s degree students. EP is more effective than BT at detecting InScope faults. The session/program andgroup variables are found to have significant effects. BT is more effective than EP at detecting OutScope faults. The session/program and group variables have no effect in this case. The results of the replication and the original experiment are similar with respect to testing techniques. There are some inconsistencies with respect to the group factor. They can be explained by small sample effects. The results for the session/program factor are inconsistent for InScope faults.We believe that these differences are due to a combination of the fatigue effect and a technique x program interaction. Although we were able to reproduce the main effects, the changes to the design of the original experiment make it impossible to identify the causes of the discrepancies for sure. We believe that further replications closely resembling the original experiment should be conducted to improve our understanding of the phenomena under study.

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The verification and validation activity plays a fundamental role in improving software quality. Determining which the most effective techniques for carrying out this activity are has been an aspiration of experimental software engineering researchers for years. This paper reports a controlled experiment evaluating the effectiveness of two unit testing techniques (the functional testing technique known as equivalence partitioning (EP) and the control-flow structural testing technique known as branch testing (BT)). This experiment is a literal replication of Juristo et al. (2013). Both experiments serve the purpose of determining whether the effectiveness of BT and EP varies depending on whether or not the faults are visible for the technique (InScope or OutScope, respectively). We have used the materials, design and procedures of the original experiment, but in order to adapt the experiment to the context we have: (1) reduced the number of studied techniques from 3 to 2; (2) assigned subjects to experimental groups by means of stratified randomization to balance the influence of programming experience; (3) localized the experimental materials and (4) adapted the training duration. We ran the replication at the Escuela Polite?cnica del Eje?rcito Sede Latacunga (ESPEL) as part of a software verification & validation course. The experimental subjects were 23 master?s degree students. EP is more effective than BT at detecting InScope faults. The session/program and group variables are found to have significant effects. BT is more effective than EP at detecting OutScope faults. The session/program and group variables have no effect in this case. The results of the replication and the original experiment are similar with respect to testing techniques. There are some inconsistencies with respect to the group factor. They can be explained by small sample effects. The results for the session/program factor are inconsistent for InScope faults. We believe that these differences are due to a combination of the fatigue effect and a technique x program interaction. Although we were able to reproduce the main effects, the changes to the design of the original experiment make it impossible to identify the causes of the discrepancies for sure. We believe that further replications closely resembling the original experiment should be conducted to improve our understanding of the phenomena under study.

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Mealiness is known as an important internal quality attribute of fruits/vegetables, which has significant influence on consumer purchasing decisions. Mealiness has been a topic of research interest over the past several decades. A number of destructive and nondestructive techniques are introduced for mealiness detection. Nondestructive methods are more interesting because they are rapid, noninvasive, and suitable for real-time purposes. In this review, the concept of mealiness is presented for potato, apple, and peach, followed by an in-depth discussion about applications of destructive and nondestructive techniques developed for mealiness detection. The results suggest the potential of electromagnetic-based techniques for nondestructive mealiness evaluation. Further investigations are in progress to find more appropriate nondestructive techniques as well as cost and performance.