Conceptualización e Infraestructura para la Investigación Experimental en Ingeniería del Software

Antecedentes: Esta investigación se enmarca principalmente en la replicación y secundariamente en la síntesis de experimentos en Ingeniería de Software (IS). Para poder replicar, es necesario disponer de todos los detalles del experimento original. Sin embargo, la descripción de los experimentos es habitualmente incompleta debido a la existencia de conocimiento tácito y a la existencia de otros problemas tales como: La carencia de un formato estándar de reporte, la inexistencia de herramientas que den soporte a la generación de reportes experimentales, etc. Esto provoca que no se pueda reproducir fielmente el experimento original. Esta problemática limita considerablemente la capacidad de los experimentadores para llevar a cabo replicaciones y por ende síntesis de experimentos. Objetivo: La investigación tiene como objetivo formalizar el proceso experimental en IS, de modo que facilite la comunicación de información entre experimentadores. Contexto: El presente trabajo de tesis doctoral ha sido desarrollado en el seno del Grupo de Investigación en Ingeniería del Software Empírica (GrISE) perteneciente a la Escuela Técnica Superior de Ingenieros Informáticos (ETSIINF) de la Universidad Politécnica de Madrid (UPM), como parte del proyecto TIN2011-23216 denominado “Tecnologías para la Replicación y Síntesis de Experimentos en Ingeniería de Software”, el cual es financiado por el Gobierno de España. El grupo GrISE cumple a la perfección con los requisitos necesarios (familia de experimentos establecida, con al menos tres líneas experimentales y una amplia experiencia en replicaciones (16 replicaciones hasta 2011 en la línea de técnicas de pruebas de software)) y ofrece las condiciones para que la investigación se lleve a cabo de la mejor manera, como por ejemplo, el acceso total a su información. Método de Investigación: Para cumplir este objetivo se opta por Action Research (AR) como el método de investigación más adecuado a las características de la investigación, para obtener resultados a través de aproximaciones sucesivas que abordan los problemas concretos de comunicación entre experimentadores. Resultados: Se formalizó el modelo conceptual del ciclo experimental desde la perspectiva de los 3 roles principales que representan los experimentadores en el proceso experimental, siendo estos: Gestor de la Investigación (GI), Gestor del Experimento (GE) y Experimentador Senior (ES). Por otra parte, se formalizó el modelo del ciclo experimental, a través de: Un workflow del ciclo y un diagrama de procesos. Paralelamente a la formalización del proceso experimental en IS, se desarrolló ISRE (de las siglas en inglés Infrastructure for Sharing and Replicating Experiments), una prueba de concepto de entorno de soporte a la experimentación en IS. Finalmente, se plantearon guías para el desarrollo de entornos de soporte a la experimentación en IS, en base al estudio de las características principales y comunes de los modelos de las herramientas de soporte a la experimentación en distintas disciplinas experimentales. Conclusiones: La principal contribución de la investigación esta representada por la formalización del proceso experimental en IS. Los modelos que representan la formalización del ciclo experimental, así como la herramienta ISRE, construida a modo de evaluación de los modelos, fueron encontrados satisfactorios por los experimentadores del GrISE. Para consolidar la validez de la formalización, consideramos que este estudio debería ser replicado en otros grupos de investigación representativos en la comunidad de la IS experimental. Futuras Líneas de Investigación: El cumplimiento de los objetivos, de la mano con los hallazgos alcanzados, han dado paso a nuevas líneas de investigación, las cuales son las siguientes: (1) Considerar la construcción de un mecanismo para facilitar el proceso de hacer explícito el conocimiento tácito de los experimentadores por si mismos de forma colaborativa y basados en el debate y el consenso , (2) Continuar la investigación empírica en el mismo grupo de investigación hasta cubrir completamente el ciclo experimental (por ejemplo: experimentos nuevos, síntesis de resultados, etc.), (3) Replicar el proceso de investigación en otros grupos de investigación en ISE, y (4) Renovar la tecnología de la prueba de concepto, tal que responda a las restricciones y necesidades de un entorno real de investigación. ABSTRACT Background: This research addresses first and foremost the replication and also the synthesis of software engineering (SE) experiments. Replication is impossible without access to all the details of the original experiment. But the description of experiments is usually incomplete because knowledge is tacit, there is no standard reporting format or there are hardly any tools to support the generation of experimental reports, etc. This means that the original experiment cannot be reproduced exactly. These issues place considerable constraints on experimenters’ options for carrying out replications and ultimately synthesizing experiments. Aim: The aim of the research is to formalize the SE experimental process in order to facilitate information communication among experimenters. Context: This PhD research was developed within the empirical software engineering research group (GrISE) at the Universidad Politécnica de Madrid (UPM)’s School of Computer Engineering (ETSIINF) as part of project TIN2011-23216 entitled “Technologies for Software Engineering Experiment Replication and Synthesis”, which was funded by the Spanish Government. The GrISE research group fulfils all the requirements (established family of experiments with at least three experimental lines and lengthy replication experience (16 replications prior to 2011 in the software testing techniques line)) and provides favourable conditions for the research to be conducted in the best possible way, like, for example, full access to information. Research Method: We opted for action research (AR) as the research method best suited to the characteristics of the investigation. Results were generated successive rounds of AR addressing specific communication problems among experimenters. Results: The conceptual model of the experimental cycle was formalized from the viewpoint of three key roles representing experimenters in the experimental process. They were: research manager, experiment manager and senior experimenter. The model of the experimental cycle was formalized by means of a workflow and a process diagram. In tandem with the formalization of the SE experimental process, infrastructure for sharing and replicating experiments (ISRE) was developed. ISRE is a proof of concept of a SE experimentation support environment. Finally, guidelines for developing SE experimentation support environments were designed based on the study of the key features that the models of experimentation support tools for different experimental disciplines had in common. Conclusions: The key contribution of this research is the formalization of the SE experimental process. GrISE experimenters were satisfied with both the models representing the formalization of the experimental cycle and the ISRE tool built in order to evaluate the models. In order to further validate the formalization, this study should be replicated at other research groups representative of the experimental SE community. Future Research Lines: The achievement of the aims and the resulting findings have led to new research lines, which are as follows: (1) assess the feasibility of building a mechanism to help experimenters collaboratively specify tacit knowledge based on debate and consensus, (2) continue empirical research at the same research group in order to cover the remainder of the experimental cycle (for example, new experiments, results synthesis, etc.), (3) replicate the research process at other ESE research groups, and (4) update the tools of the proof of concept in order to meet the constraints and needs of a real research environment.

An Analysis Of The Recommended Knowledge For The Software Project Management Discipline

According to the PMBOK (Project Management Body of Knowledge), project management is “the application of knowledge, skills, tools, and techniques to project activities to meet the project requirements” [1]. Project Management has proven to be one of the most important disciplines at the moment of determining the success of any project [2][3][4]. Given that many of the activities covered by this discipline can be said that are “horizontal” for any kind of domain, the importance of acknowledge the concepts and practices becomes even more obvious. The specific case of the projects that fall in the domain of Software Engineering are not the exception about the great influence of Project Management for their success. The critical role that this discipline plays in the industry has come to numbers. A report by McKinsey & Co [4] shows that the establishment of programs for the teaching of critical skills of project management can improve the performance of the project in time and costs. As an example of the above, the reports exposes: “One defense organization used these programs to train several waves of project managers and leaders who together administered a portfolio of more than 1,000 capital projects ranging in Project management size from $100,000 to $500 million. Managers who successfully completed the training were able to cut costs on most projects by between 20 and 35 percent. Over time, the organization expects savings of about 15 percent of its entire baseline spending”. In a white paper by the PMI (Project Management Institute) about the value of project management [5], it is stated that: “Leading organizations across sectors and geographic borders have been steadily embracing project management as a way to control spending and improve project results”. According to the research made by the PMI for the paper, after the economical crisis “Executives discovered that adhering to project management methods and strategies reduced risks, cut costs and improved success rates—all vital to surviving the economic crisis”. In every elite company, a proper execution of the project management discipline has become a must. Several members of the software industry have putted effort into achieving ways of assuring high quality results from projects; many standards, best practices, methodologies and other resources have been produced by experts from different fields of expertise. In the industry and the academic community, there is a continuous research on how to teach better software engineering together with project management [4][6]. For the general practices of Project Management the PMI produced a guide of the required knowledge that any project manager should have in their toolbox to lead any kind of project, this guide is called the PMBOK. On the side of best practices 10 and required knowledge for the Software Engineering discipline, the IEEE (Institute of Electrical and Electronics Engineers) developed the SWEBOK (Software Engineering Body of Knowledge) in collaboration with software industry experts and academic researchers, introducing into the guide many of the needed knowledge for a 5-year expertise software engineer [7]. The SWEBOK also covers management from the perspective of a software project. This thesis is developed to provide guidance to practitioners and members of the academic community about project management applied to software engineering. The way used in this thesis to get useful information for practitioners is to take an industry-approved guide for software engineering professionals such as the SWEBOK, and compare the content to what is found in the PMBOK. After comparing the contents of the SWEBOK and the PMBOK, what is found missing in the SWEBOK is used to give recommendations on how to enrich project management skills for a software engineering professional. Recommendations for members of the academic community on the other hand, are given taking into account the GSwE2009 (Graduated Software Engineering 2009) standard [8]. GSwE2009 is often used as a main reference for software engineering master programs [9]. The standard is mostly based on the content of the SWEBOK, plus some contents that are considered to reinforce the education of software engineering. Given the similarities between the SWEBOK and the GSwE2009, the results of comparing SWEBOK and PMBOK are also considered valid to enrich what the GSwE2009 proposes. So in the end the recommendations for practitioners end up being also useful for the academic community and their strategies to teach project management in the context of software engineering.

Integrating Generic Competences into Engineering Curricula

The new degrees in Spanish universities generated as a result of the Bologna process, stress a new dimension: the generic competencies to be acquired by university students (leadership, problem solving, respect for the environment, etc.). At Universidad Polite¿cnica de Madrid a teaching model was defined for two degrees: Graduate in Computer Engineering and Graduate in Software Engineering. Such model incorporates the training, development and assessment of generic competencies planned in these curricula. The aim of this paper is to describe how this model was implemented in both degrees. The model has three components. The first refers to a set of seven activities for introducing mechanisms for training, development and assessment of generic competencies. The second component aims to coordinate actions that implement the competencies across courses (in space and time). The third component consists of a series of activities to perform quality control. The implementation of generic competencies was carried out in first year courses (first and second semesters), together with the planning for second year courses (third and fourth semesters). We managed to involve a high percentage of first-year courses (80%) and the contacts that have been initiated suggest a high percentage in the second year as well.

Application of knowledge engineering acquisition techniques to requirements capture: a case study

In this paper we want to point out, by means of a case study, the importance of incorporating some knowledge engineering techniques to the processes of software engineering. Precisely, we are referring to the knowledge eduction techniques. We know the difficulty of requirements acquisition and its importance to minimise the risks of a software project, both in the development phase and in the maintenance phase. To capture the functional requirements use cases are generally used. However, as we will show in this paper, this technique is insufficient when the problem domain knowledge is only in the "experts? mind". In this situation, the combination of the use case with eduction techniques, in every development phase, will let us to discover the correct requirements.

Are team personality and climate related to satisfaction and software quality? Aggregating results from a twice replicated experiment

Research into software engineering teams focuses on human and social team factors. Social psychology deals with the study of team formation and has found that personality factors and group processes such as team climate are related to team effectiveness. However, there are only a handful of empirical studies dealing with personality and team climate and their relationship to software development team effectiveness. Objective We present aggregate results of a twice replicated quasi-experiment that evaluates the relationships between personality, team climate, product quality and satisfaction in software development teams. Method Our experimental study measures the personalities of team members based on the Big Five personality traits (openness, conscientiousness, extraversion, agreeableness, neuroticism) and team climate factors (participative safety, support for innovation, team vision and task orientation) preferences and perceptions. We aggregate the results of the three studies through a meta-analysis of correlations. The study was conducted with students. Results The aggregation of results from the baseline experiment and two replications corroborates the following findings. There is a positive relationship between all four climate factors and satisfaction in software development teams. Teams whose members score highest for the agreeableness personality factor have the highest satisfaction levels. The results unveil a significant positive correlation between the extraversion personality factor and software product quality. High participative safety and task orientation climate perceptions are significantly related to quality. Conclusions First, more efficient software development teams can be formed heeding personality factors like agreeableness and extraversion. Second, the team climate generated in software development teams should be monitored for team member satisfaction. Finally, aspects like people feeling safe giving their opinions or encouraging team members to work hard at their job can have an impact on software quality. Software project managers can take advantage of these factors to promote developer satisfaction and improve the resulting product.

A systematic mapping study on testing technique experiments: has the situation changed since 2000?

Context: Empirical Software Engineering (ESE) replication researchers need to store and manipulate experimental data for several purposes, in particular analysis and reporting. Current research needs call for sharing and preservation of experimental data as well. In a previous work, we analyzed Replication Data Management (RDM) needs. A novel concept, called Experimental Ecosystem, was proposed to solve current deficiencies in RDM approaches. The empirical ecosystem provides replication researchers with a common framework that integrates transparently local heterogeneous data sources. A typical situation where the Empirical Ecosystem is applicable, is when several members of a research group, or several research groups collaborating together, need to share and access each other experimental results. However, to be able to apply the Empirical Ecosystem concept and deliver all promised benefits, it is necessary to analyze the software architectures and tools that can properly support it.

Estudios y herramientas para la evaluación y la mejora de la motivación en la ingeniería del software

Comprender y estimular la motivación resulta crucial para favorecer el rendimiento de los estudiantes universitarios y profesionales de diversos ámbitos de conocimiento, como el de la Ingeniería del Software. Actualmente, este sector está demandando soluciones científico-tecnológicas para trabajar de una manera práctica y sistemática sobre elementos motivacionales como la satisfacción por el estudio y el trabajo, el aprendizaje activo o las relaciones interpersonales. El objetivo de esta Tesis Doctoral es definir y validar soluciones para evaluar y mejorar la motivación de los estudiantes y profesionales en Ingeniería del Software. Para ello, se han creado instrumentos, metodologías y tecnologías que se han aplicado con un total de 152 estudiantes y 166 profesionales. Esta experiencia empírica ha servido para mejorar de manera continua dichas aportaciones, así como para comprobar en un entorno real su validez y utilidad. Los datos recogidos revelan que las soluciones provistas han resultado eficaces para comprender y estimular la motivación tanto en el ámbito académico como en el profesional. Además, a raíz de los datos recogidos se han podido explorar aspectos de interés sobre las características y particularidades motivacionales asociadas a la Ingeniería del Software. Por tanto, esta Tesis Doctoral resulta de interés para las universidades y empresas de este sector sensibilizadas con el desarrollo motivacional de sus estudiantes y trabajadores. Abstract It is crucial to understand and encourage the motivation of students and professionals in order to enhance their performance. This applies to students and professionals from diverse fields such as Software Engineering. Currently this sector is demanding scientific–technological solutions to work on motivational elements in a pragmatic and systematic way. Such elements are among others study and work satisfaction, active learning or interpersonal relationships. This Doctoral Thesis objective is to establish and validate solutions to evaluate and improve the motivation in the Software Engineering field. To achieve this goal, resources, methods and technologies have been created. They have been applied to 152 students and 166 professionals. This empirical experience served to, on one hand, enhance in a continuous way the provided contributions, and on the other hand, to test in a real environment their validity and utility. The collected data reveal that the provided solutions were effective to understand and encourage motivation both in the academic and in the professional area. In addition, the collected data enable to examine interesting aspects and motivational special features associated with Software Engineering. Therefore this Doctoral Thesis is relevant to universities and firms from this field which are aware of the significance of the motivational development of their students and employees.

Novatests : metodología y herramienta software de apoyo para los ingenieros de prueba junior

La Ingeniería de Pruebas está especializada en la verificación y validación del Software,y formalmente se define como: “Proceso de desarrollo que emplea métodos rigurosos para evaluar la corrección y calidad del producto a lo largo de todo su ciclo de vida” [3]. Este proceso comprende un conjunto de métodos, procedimientos y técnicas formalmente definidas las cuales, usadas de forma sistemática, facilitan la identificación de la mayor cantidad de errores y fallos posibles de un software. Un software que pase un proceso riguroso de pruebas es un producto de calidad que seguramente facilitará la labor del Ingeniero de Software en la corrección de futuras incidencias, algunas de ellas generadas tras la implantación en el entorno real. Este proceso constituye un área de la Ingeniería del Software y una especialidad por tanto, de la misma. De forma simple, la consecución de una correcta Verificación y Validación del Software requiere de algunas actividades imprescindibles como: - Realizar un plan de pruebas del proyecto. - Actualizar dicho plan y corregirlo en caso necesario. - Revisar los documentos de análisis de requisitos. - Ejecutar las pruebas en las diferentes fases del desarrollo del proyecto. - Documentar el diseño y la ejecución de las pruebas. - Generar documentos con los resultados y anomalías de las pruebas ya ejecutadas. Actualmente, la Ingeniería de Pruebas no es muy reconocida como área de trabajo independiente sino más bien, un área inmersa dentro de la Ingeniería de Software. En el entorno laboral existe el perfil de Ingeniero de Pruebas, sin embargo pocos ingenieros de software tienen claro querer ser Ingenieros de Pruebas (probadores o testers) debido a que nunca han tenido la oportunidad de enfrentarse a actividades prácticas reales dentro de los centros de estudios universitarios donde cursan la carrera. Al ser un área de inherente ejercicio profesional, la parte correspondiente de la Ingeniería de Pruebas suele enfocarse desde un punto de vista teórico más que práctico. Hay muchas herramientas para la creación de pruebas y de ayuda para los ingenieros de pruebas, pero la mayoría son de pago o hechas a medida para grandes empresas que necesitan dicho software. Normalmente la gente conoce lo que es la Ingeniería de Pruebas únicamente cuando se empieza a adquirir experiencia en dicha área en el ejercicio profesional dentro de una empresa. Con lo cual, el acercamiento durante la carrera no necesariamente le ha ofrecido al profesional en Ingeniería, la oportunidad de trabajar en esta rama de la Ingeniería del Software y en algunos casos, NOVATests: Metodología y herramienta software de apoyo para los Ingenieros de Prueba Junior 4 los recién egresados comienzan su vida profesional con algún desconocimiento en este sentido. Es por el conjunto de estas razones, que mi intención en este proyecto es proponer una metodología y una herramienta software de apoyo a dicha metodología, para que los estudiantes de carreras de Ingeniería Software y afines, e ingenieros recién egresados con poca experiencia o ninguna en esta área (Ingenieros de Pruebas Junior), puedan poner en práctica las actividades de la Ingeniería de Pruebas dentro de un entorno lo más cercano posible al ejercicio de la labor profesional. De esta forma, podrían desarrollar las tareas propias de dicha área de una manera fácil e intuitiva, favoreciendo un mayor conocimiento y experiencia de la misma. ABSTRACT The software engineering is specialized in the verification and validation of Software and it is formally defined as: “Development process which by strict methods evaluates and corrects the quality of the product along its lifecycle”. This process contains a number of methods, procedures and techniques formally defined which used systematically make easier the identification of the highest quantity of error and failures within a Software. A software going through this rigorous process of tests will become a quality product that will help the software engineer`s work while correcting incidences. Some of them probably generated after the deployment in a real environment. This process belongs to the Software engineering and therefore it is a specialization itself. Simplifying, the correct verification and validation of a software requires some essential activities such as: -Create a Test Plan of the project - Update this Test Plan and correct if necessary - Check Requirement’s specification documents -Execute the different tests among all the phases of the project - Create the pertinent documentation about design and execution of these tests. - Generate the result documents and all the possible incidences the tests could contain. Currently, the Test engineering is not recognized as a work area but an area immerse within the Software engineering. The professional environment includes the role of Test engineer, but only a few software engineers have clear to become Test engineers (testers) because they have never had the chance to face this activities within the university study centers where they take study of this degree. Since there are little professional environments, this area is focused from a theoretical way instead of a more practical vision. There are plenty of tools helping the Test engineer, but most of them are paid tools or bespoke tools for big companies in need of this software. Usually people know what test engineering is by starting working on it and not before, when people start acquiring experience in this field within a company. Therefore, the degree studied have not approach this field of the Software engineering before and in some cases the graduated students start working without any knowledge in this area. Because of this reasons explained, it is my intention to propose this Project: a methodology and a software tool supporting this methodology so the students of software engineering and similar ones but also graduated students with little experience in this area (Junior Test Engineers), can afford practice in this field and get used to the activities related with the test engineering. Because of this they will be able to carry out the proper tasks of this area easier, enforcing higher and better knowledge and experience of it.

Dificultades en el aprendizaje del diseño de software orientado a objetos: un estudio cualitativo longitudinal

Las compañías de desarrollo de software buscan reducir costes a través del desarrollo de diseños que permitan: a) facilidad en la distribución del trabajo de desarrollo, con la menor comunicación de las partes; b) modificabilidad, permitiendo realizar cambios sobre un módulo sin alterar las otras partes y; c) comprensibilidad, permitiendo estudiar un módulo del sistema a la vez. Estas características elementales en el diseño de software se logran a través del diseño de sistemas cuasi-descomponibles, cuyo modelo teórico fue introducido por Simon en su búsqueda de una teoría general de los sistemas. En el campo del diseño de software, Parnas propone un camino práctico para lograr sistemas cuasi-descomponibles llamado el Principio de Ocultación de Información. El Principio de Ocultación de Información es un criterio diferente de descomposición en módulos, cuya implementación logra las características deseables de un diseño eficiente a nivel del proceso de desarrollo y mantenimiento. El Principio y el enfoque orientado a objetos se relacionan debido a que el enfoque orientado a objetos facilita la implementación del Principio, es por esto que cuando los objetos empiezan a tomar fuerza, también aparecen paralelamente las dificultades en el aprendizaje de diseño de software orientado a objetos, las cuales se mantienen hasta la actualidad, tal como se reporta en la literatura. Las dificultades en el aprendizaje de diseño de software orientado a objetos tiene un gran impacto tanto en las aulas como en la profesión. La detección de estas dificultades permitirá a los docentes corregirlas o encaminarlas antes que éstas se trasladen a la industria. Por otro lado, la industria puede estar advertida de los potenciales problemas en el proceso de desarrollo de software. Esta tesis tiene como objetivo investigar sobre las dificultades en el diseño de software orientado a objetos, a través de un estudio empírico. El estudio fue realizado a través de un estudio de caso cualitativo, que estuvo conformado por tres partes. La primera, un estudio inicial que tuvo como objetivo conocer el entendimiento de los estudiantes alrededor del Principio de Ocultación de Información antes de que iniciasen la instrucción. La segunda parte, un estudio llevado a cabo a lo largo del período de instrucción con la finalidad de obtener las dificultades de diseño de software y su nivel de persistencia. Finalmente, una tercera parte, cuya finalidad fue el estudio de las dificultades esenciales de aprendizaje y sus posibles orígenes. Los participantes de este estudio pertenecieron a la materia de Software Design del European Master in Software Engineering de la Escuela Técnica Superior de Ingenieros Informáticos de la Universidad Politécnica de Madrid. Los datos cualitativos usados para el análisis procedieron de las observaciones en las horas de clase y exposiciones, entrevistas realizadas a los estudiantes y ejercicios enviados a lo largo del período de instrucción. Las dificultades presentadas en esta tesis en sus diferentes perspectivas, aportaron conocimiento concreto de un estudio de caso en particular, realizando contribuciones relevantes en el área de diseño de software, docencia, industria y a nivel metodológico. ABSTRACT The software development companies look to reduce costs through the development of designs that will: a) ease the distribution of development work with the least communication between the parties; b) changeability, allowing to change a module without disturbing the other parties and; c) understandability, allowing to study a system module at a time. These basic software design features are achieved through the design of quasidecomposable systems, whose theoretical model was introduced by Simon in his search for a general theory of systems. In the field of software design, Parnas offers a practical way to achieve quasi-decomposable systems, called The Information Hiding Principle. The Information Hiding Principle is different criterion for decomposition into modules, whose implementation achieves the desirable characteristics of an efficient design at the development and maintenance level. The Principle and the object-oriented approach are related because the object-oriented approach facilitates the implementation of The Principle, which is why when objects begin to take hold, also appear alongside the difficulties in learning an object-oriented software design, which remain to this day, as reported in the literature. Difficulties in learning object-oriented software design has a great impact both in the classroom and in the profession. The detection of these difficulties will allow teachers to correct or route them before they move to the industry. On the other hand, the industry can be warned of potential problems related to the software development process. This thesis aims to investigate the difficulties in learning the object-oriented design, through an empirical study. The study was conducted through a qualitative case study, which consisted of three parts. The first, an initial study was aimed to understand the knowledge of the students around The Information Hiding Principle before they start the instruction. The second part, a study was conducted during the entire period of instruction in order to obtain the difficulties of software design and their level of persistence. Finally, a third party, whose purpose was to study the essential difficulties of learning and their possible sources. Participants in this study belonged to the field of Software Design of the European Master in Software Engineering at the Escuela Técnica Superior de Ingenieros Informáticos of Universidad Politécnica de Madrid. The qualitative data used for the analysis came from the observations in class time and exhibitions, performed interviews with students and exercises sent over the period of instruction. The difficulties presented in this thesis, in their different perspectives, provided concrete knowledge of a particular case study, making significant contributions in the area of software design, teaching, industry and methodological level.

Configuración de un entorno de trabajo para el desarrollo de software ágil con integración continua

Hoy en día, existen numerosos sistemas (financieros, fabricación industrial, infraestructura de servicios básicos, etc.) que son dependientes del software. Según la definición de Ingeniería del Software realizada por I. Sommerville, “la Ingeniería del Software es una disciplina de la ingeniería que comprende todos los aspectos de la producción de software desde las etapas iniciales de la especificación del sistema, hasta el mantenimiento de éste después de que se utiliza.” “La ingeniería del software no sólo comprende los procesos técnicos del desarrollo de software, sino también actividades tales como la gestión de proyectos de software y el desarrollo de herramientas, métodos y teorías de apoyo a la producción de software.” Los modelos de proceso de desarrollo software determinan una serie de pautas para poder desarrollar con éxito un proyecto de desarrollo software. Desde que surgieran estos modelos de proceso, se investigado en nuevas maneras de poder gestionar un proyecto y producir software de calidad. En primer lugar surgieron las metodologías pesadas o tradicionales, pero con el avance del tiempo y la tecnología, surgieron unas nuevas llamadas metodologías ágiles. En el marco de las metodologías ágiles cabe destacar una determinada práctica, la integración continua. Esta práctica surgió de la mano de Martin Fowler, con el objetivo de facilitar el trabajo en grupo y automatizar las tareas de integración. La integración continua se basa en la construcción automática de proyectos con una frecuencia alta, promoviendo la detección de errores en un momento temprano para poder dar prioridad a corregir dichos errores. Sin embargo, una de las claves del éxito en el desarrollo de cualquier proyecto software consiste en utilizar un entorno de trabajo que facilite, sistematice y ayude a aplicar un proceso de desarrollo de una forma eficiente. Este Proyecto Fin de Grado (PFG) tiene por objetivo el análisis de distintas herramientas para configurar un entorno de trabajo que permita desarrollar proyectos aplicando metodologías ágiles e integración continua de una forma fácil y eficiente. Una vez analizadas dichas herramientas, se ha propuesto y configurado un entorno de trabajo para su puesta en marcha y uso. Una característica a destacar de este PFG es que las herramientas analizadas comparten una cualidad común y de alto valor, son herramientas open-source. El entorno de trabajo propuesto en este PFG presenta una arquitectura cliente-servidor, dado que la mayoría de proyectos software se desarrollan en equipo, de tal forma que el servidor proporciona a los distintos clientes/desarrolladores acceso al conjunto de herramientas que constituyen el entorno de trabajo. La parte servidora del entorno propuesto proporciona soporte a la integración continua mediante herramientas de control de versiones, de gestión de historias de usuario, de análisis de métricas de software, y de automatización de la construcción de software. La configuración del cliente únicamente requiere de un entorno de desarrollo integrado (IDE) que soporte el lenguaje de programación Java y conexión con el servidor. ABSTRACT Nowadays, numerous systems (financial, industrial production, basic services infrastructure, etc.) depend on software. According to the Software Engineering definition made by I.Sommerville, “Software engineering is an engineering discipline that is concerned with all aspects of software production from the early stages of system specification through to maintaining the system after it has gone into use.” “Software engineering is not just concerned with the technical processes of software development. It also includes activities such as software project management and the development of tools, methods, and theories to support software production.” Software development process models determine a set of guidelines to successfully develop a software development project. Since these process models emerged, new ways of managing a project and producing software with quality have been investigated. First, the so-called heavy or traditional methodologies appeared, but with the time and the technological improvements, new methodologies emerged: the so-called agile methodologies. Agile methodologies promote, among other practices, continuous integration. This practice was coined by Martin Fowler and aims to make teamwork easier as well as automate integration tasks. Nevertheless, one of the keys to success in software projects is to use a framework that facilitates, systematize, and help to deploy a development process in an efficient way. This Final Degree Project (FDP) aims to analyze different tools to configure a framework that enables to develop projects by applying agile methodologies and continuous integration in an easy and efficient way. Once tools are analyzed, a framework has been proposed and configured. One of the main features of this FDP is that the tools under analysis share a common and high-valued characteristic: they are open-source. The proposed framework presents a client-server architecture, as most of the projects are developed by a team. In this way, the server provides access the clients/developers to the tools that comprise the framework. The server provides continuous integration through a set of tools for control management, user stories management, software quality management, and software construction automatization. The client configuration only requires a Java integrated development environment and network connection to the server.

Looking for the Holy Grail of Software Development

The history of Software Engineering has been marked by many famous project failures documented in papers, articles and books. This pattern of lack of success has prompted the creation of dozens of software analysis, requirements definition, and design methods, programming languages, software development environments and software development processes all promoted as solving ?the software problem.? What we hear less about are software projects that were successful. This article reports on the findings of an extensive analysis of successful software projects that have been reported in the literature. It discusses the different interpretations of success and extracts the characteristics that successful projects have in common. These characteristics provide Software Project Managers with an agenda of topics to be addressed that will help ensure, not guarantee, that their software project will be successful.

Estudio de una metodología de software para la predicción y análisis del balance paramétrico de buques para su aplicación en los criterios de estabilidad de segunda generación

El objetivo de ésta tesis es estudiar cómo desarrollar una aplicación informática que implemente algoritmos numéricos de evaluación de características hidrodinámicas de modelos geométricos representativos de carenas de buques. Se trata de especificar los requisitos necesarios que debe cumplir un programa para informático orientado a dar solución a un determinado problema hidródinámico, como es simular el comportamiento en balance de un buque sometido a oleaje, de popa o proa. una vez especificada la aplicación se realizará un diseño del programa; se estudiarán alternativas para implementar la aplicación; se explicará el proceso que ha de seguirse para obtener la aplicación en funcionamiento y se contrastarán los resultados obtenidos en la medida que sea posible. Se pretende sistematizar y sintetizar todo el proceso de desarrollo de software, orientado a la simulación del comportamiento hidrodinámico de un buque, en una metodología que se pondrá a disposición de la comunidad académica y científica en la forma que se considere más adecuada. Se trata, por tanto, de proponer una metodología de desarrollo de software para obetener una aplicación que facilite la evaluación de diferentes alternativas de estudio variando parámetros relativos al problema en estudio y que sea capaz de proporcionar resultados para su análisis. Así mismo se incide en cómo ha de conducirse en el proceso para que dicha aplicación pueda crecer, incorporando soluciones existentes no implementadas o nuevas soluciones que aparezcan en este ámbito de conocimiento. Como aplicación concreta de la aplicación se ha elegido implementar los algoritmos necesarios para evaluar la aparición del balance paramétrico en un buque. En el análisis de éste problema se considera de interés la representación geométrica que se hace de la carena del buque. Además de la carena aparecen otros elementos que tienen influencia determinante en éste estudio, como son las situación de mar y las situaciones de carga. Idealmente, el problema sería resuelto si se consiguiera determinar el ángulo de balance que se produce al enfrentar un buque a las diferentes condiciones de mar. Se pretende preparar un programa utilizando el paradigma de la orientación a objetos. Considero que es la más adecuada forma de modularizar el programa para poder utilizar diferentes modelos de una misma carena y así comparar los resultados de la evaluación del balance paramétrico entre sí. En una etapa posterior se podrían comparar los resultados con otros obtenidos empíricamente. Hablo de una nueva metodología porque pretendo indicar cómo se ha de construir una aplicación de software que sea usable y sobre la que se pueda seguir desarrollando. Esto justifica la selección del lenguaje de programación C++. Se seleccionará un núcleo geométrico de software que permita acoplar de forma versátil los distintos componentes de software que van a construir el programa. Este trabajo pretende aplicar el desarrollo de software a un aspecto concreto del área de conocimiento de la hidrodinámica. No se pretende aportar nuevos algoritmos para resolver problemas de hidrodinámica, sino diseñar un conjunto de objetos de software que implementen soluciones existentes a conocidas soluciones numéricas a dichos problemas. Se trata fundamentalmente de un trabajo de software, más que de hidrodinámica. Lo que aporta de novedad es una nueva forma de realizar un programa aplicado a los cálculos hidrodinámicos relativos a la determinación del balance paramétrico, que pueda crecer e incorporar cualquier novedad que pueda surgir más adelante. Esto será posible por la programación modular utilizada y los objetos que representan cada uno de los elementos que intervienen en la determinación del balance paramétrico. La elección de aplicar la metodología a la predicción del balance paramétrico se debe a que este concepto es uno de los elementos que intervienen en la evaluación de criterios de estabilidad de segunda generación que estan en estudio para su futura aplicación en el ámbito de la construcción naval. Es por tanto un estudio que despierta interés por su próxima utilidad. ABSTRACT The aim of this thesis is to study how to develop a computer application implementing numerical algorithms to assess hydrodynamic features of geometrical models of vessels. It is therefore to propose a methodology for software development applied to an hydrodynamic problem, in order to evaluate different study alternatives by varying different parameters related to the problem and to be capable of providing results for analysis. As a concrete application of the program it has been chosen to implement the algorithms necessary for evaluating the appearance of parametric rolling in a vessel. In the analysis of this problem it is considered of interest the geometrical representation of the hull of the ship and other elements which have decisive influence in this phenomena, such as the sea situation and the loading condition. Ideally, the application would determine the roll angle that occurs when a ship is on waves of different characteristics. It aims to prepare a program by using the paradigm of object oriented programming. I think it is the best methodology to modularize the program. My intention is to show how face the global process of developing an application from the initial specification until the final release of the program. The process will keep in mind the spefici objetives of usability and the possibility of growing in the scope of the software. This work intends to apply software development to a particular aspect the area of knowledge of hydrodynamics. It is not intended to provide new algorithms for solving problems of hydrodynamics, but designing a set of software objects that implement existing solutions to these problems. This is essentially a job software rather than hydrodynamic. The novelty of this thesis stands in this work focuses in describing how to apply the whole proccess of software engineering to hydrodinamics problems. The choice of the prediction of parametric balance as the main objetive to be applied to is because this concept is one of the elements involved in the evaluation of the intact stability criteria of second generation. Therefore, I consider this study as relevant usefull for the future application in the field of shipbuilding.

An Autonomous Engine for Services Configuration and Deployment.

The runtime management of the infrastructure providing service-based systems is a complex task, up to the point where manual operation struggles to be cost effective. As the functionality is provided by a set of dynamically composed distributed services, in order to achieve a management objective multiple operations have to be applied over the distributed elements of the managed infrastructure. Moreover, the manager must cope with the highly heterogeneous characteristics and management interfaces of the runtime resources. With this in mind, this paper proposes to support the configuration and deployment of services with an automated closed control loop. The automation is enabled by the definition of a generic information model, which captures all the information relevant to the management of the services with the same abstractions, describing the runtime elements, service dependencies, and business objectives. On top of that, a technique based on satisfiability is described which automatically diagnoses the state of the managed environment and obtains the required changes for correcting it (e.g., installation, service binding, update, or configuration). The results from a set of case studies extracted from the banking domain are provided to validate the feasibility of this proposa

Identifying Moderator Variables Through Requirements Elicitation Experiments Limitations

Interviews are the most widely used elicitation technique in Requirements Engineering (RE). Despite its importance, research in interviews is quite limited, in particular from an experimental perspective. We have performed a series of experiments exploring the relative effectiveness of structured and unstructured interviews. This line of research has been active in Information Systems in the past years, so that our experiments can be aggregated together with existing ones to obtain guidelines for practice. Experimental aggregation is a demanding task. It requires not only a large number of experiments, but also considering the influence of the existing moderators. However, in the current state of the practice in RE, those moderators are unknown. We believe that analyzing the threats to validity in interviewing experiments may give insight about how to improve further replications and the corresponding aggregations. It is likely that this strategy may be applied in other Software Engineering areas as well.

Comparative analysis of meta-analysis methods: when to use which?

Background: Several meta-analysis methods can be used to quantitatively combine the results of a group of experiments, including the weighted mean difference, statistical vote counting, the parametric response ratio and the non-parametric response ratio. The software engineering community has focused on the weighted mean difference method. However, other meta-analysis methods have distinct strengths, such as being able to be used when variances are not reported. There are as yet no guidelines to indicate which method is best for use in each case. Aim: Compile a set of rules that SE researchers can use to ascertain which aggregation method is best for use in the synthesis phase of a systematic review. Method: Monte Carlo simulation varying the number of experiments in the meta analyses, the number of subjects that they include, their variance and effect size. We empirically calculated the reliability and statistical power in each case Results: WMD is generally reliable if the variance is low, whereas its power depends on the effect size and number of subjects per meta-analysis; the reliability of RR is generally unaffected by changes in variance, but it does require more subjects than WMD to be powerful; NPRR is the most reliable method, but it is not very powerful; SVC behaves well when the effect size is moderate, but is less reliable with other effect sizes. Detailed tables of results are annexed. Conclusions: Before undertaking statistical aggregation in software engineering, it is worthwhile checking whether there is any appreciable difference in the reliability and power of the methods. If there is, software engineers should select the method that optimizes both parameters.