An automated approach for performance deviation analysis of evolving software systems

A manutenção e evolução de sistemas de software tornou-se uma tarefa bastante crítica ao longo dos últimos anos devido à diversidade e alta demanda de funcionalidades, dispositivos e usuários. Entender e analisar como novas mudanças impactam os atributos de qualidade da arquitetura de tais sistemas é um pré-requisito essencial para evitar a deterioração de sua qualidade durante sua evolução. Esta tese propõe uma abordagem automatizada para a análise de variação do atributo de qualidade de desempenho em termos de tempo de execução (tempo de resposta). Ela é implementada por um framework que adota técnicas de análise dinâmica e mineração de repositório de software para fornecer uma forma automatizada de revelar fontes potenciais – commits e issues – de variação de desempenho em cenários durante a evolução de sistemas de software. A abordagem define quatro fases: (i) preparação – escolher os cenários e preparar os releases alvos; (ii) análise dinâmica – determinar o desempenho de cenários e métodos calculando seus tempos de execução; (iii) análise de variação – processar e comparar os resultados da análise dinâmica para releases diferentes; e (iv) mineração de repositório – identificar issues e commits associados com a variação de desempenho detectada. Estudos empíricos foram realizados para avaliar a abordagem de diferentes perspectivas. Um estudo exploratório analisou a viabilidade de se aplicar a abordagem em sistemas de diferentes domínios para identificar automaticamente elementos de código fonte com variação de desempenho e as mudanças que afetaram tais elementos durante uma evolução. Esse estudo analisou três sistemas: (i) SIGAA – um sistema web para gerência acadêmica; (ii) ArgoUML – uma ferramenta de modelagem UML; e (iii) Netty – um framework para aplicações de rede. Outro estudo realizou uma análise evolucionária ao aplicar a abordagem em múltiplos releases do Netty, e dos frameworks web Wicket e Jetty. Nesse estudo foram analisados 21 releases (sete de cada sistema), totalizando 57 cenários. Em resumo, foram encontrados 14 cenários com variação significante de desempenho para Netty, 13 para Wicket e 9 para Jetty. Adicionalmente, foi obtido feedback de oito desenvolvedores desses sistemas através de um formulário online. Finalmente, no último estudo, um modelo de regressão para desempenho foi desenvolvido visando indicar propriedades de commits que são mais prováveis a causar degradação de desempenho. No geral, 997 commits foram minerados, sendo 103 recuperados de elementos de código fonte degradados e 19 de otimizados, enquanto 875 não tiveram impacto no tempo de execução. O número de dias antes de disponibilizar o release e o dia da semana se mostraram como as variáveis mais relevantes dos commits que degradam desempenho no nosso modelo. A área de característica de operação do receptor (ROC – Receiver Operating Characteristic) do modelo de regressão é 60%, o que significa que usar o modelo para decidir se um commit causará degradação ou não é 10% melhor do que uma decisão aleatória.

Studio del modello Augmented Worlds per l'ingegneria di sistemi software basati su realtà aumentata: esplorazioni basate su Unity e Android

Negli ultimi anni il crescere della capacità di calcolo dei dispositivi e il diminuire delle loro dimensioni ha permesso di far nascere idee innovative e di esplorare più in dettaglio alcuni settori. Uno di questi è sicuramente quello della realtà aumentata (Augmented reality), infatti, la discussione su questo argomento nasce già negli anni 40 del novecento, ma, per mancanza di mezzi tecnologici adeguati, solo ora si iniziano a realizzare le prime applicazioni che si basano su questa idea e il grande pubblico inizia ad interessarsi all'argomento. La costruzione di applicazioni di realtà aumentata, al momento, è basata sull'utilizzo di alcuni framework che mettono a disposizione dello sviluppatore alcune funzioni molto comuni in questi software, come il tracking di marker e l'utilizzo di bottoni virtuali. Questi strumenti, seppur comodi, non garantiscono sempre la buona progettazione dell'applicazione e tendono a unire insieme parti di logica applicativa e di grafica. Per questo motivo, anche nella ricerca, si stanno cercando di studiare dei metodi in grado di permettere una divisione ottimale dei compiti in modo da ottenere un software riusabile e facilmente mantenibile, ma che permetta anche di sfruttare appieno le potenzialità dell'AR attraverso, per esempio, sistemi distribuiti. Un framework concettuale che rientra in questa categoria è sicuramente quello degli Augmented Worlds, mondi virtuali collegati a quello fisico che ne incrementano le caratteristiche e le possibilità tramite la presenza di entità aumentate. La tesi, quindi, si propone di sviluppare un prototipo di un framework con le caratteristiche sopra citate di estendibilità, utilizzando le piattaforme in questo momento a disposizione e ispirandosi alla visione degli Augmented Worlds.

Aspetos específicos da gestão de projetos de desenvolvimento de software de patient relationship management

A presente pesquisa consiste num trabalho exploratório de análise dos aspetos específicos da gestão de projetos de desenvolvimento de software de Patient Relationship Management (PRM), tendo em vista contribuir para a definição, no futuro, de um framework específico. Uma revisão de literatura sistemática permitiu concluir a inexistência de referências neste âmbito inseridas, tendo-se procurado suprir esta lacuna através da realização de um estudo de caso suportado em três entrevistas a peritos de reconhecida competência. As conclusões remetem para a necessidade e pertinência de um framework de gestão de projetos de desenvolvimento de software de PRM, evidenciando também um controlo do projeto de reduzida complexidade. Propõe-se e discute-se, neste aspeto, a utilização do sistema de controlo Balanced Scorecard. Esta pesquisa fornece um importante contributo para o conhecimento, compreensão e orientação da gestão e da tomada de decisão subjacentes a projetos de PRM no setor da saúde.

Forward-in-Time, Spatially Explicit Modeling Software to Simulate Genetic Lineages Under Selection

SELECTOR is a software package for studying the evolution of multiallelic genes under balancing or positive selection while simulating complex evolutionary scenarios that integrate demographic growth and migration in a spatially explicit population framework. Parameters can be varied both in space and time to account for geographical, environmental, and cultural heterogeneity. SELECTOR can be used within an approximate Bayesian computation estimation framework. We first describe the principles of SELECTOR and validate the algorithms by comparing its outputs for simple models with theoretical expectations. Then, we show how it can be used to investigate genetic differentiation of loci under balancing selection in interconnected demes with spatially heterogeneous gene flow. We identify situations in which balancing selection reduces genetic differentiation between population groups compared with neutrality and explain conflicting outcomes observed for human leukocyte antigen loci. These results and three previously published applications demonstrate that SELECTOR is efficient and robust for building insight into human settlement history and evolution.

D3.5 – First Storytelling Framework

This document presents the first release of the project’s storytelling framework, which is composed by two assets. The purpose of this framework is to facilitate the use of interactive storytelling for the development of applied games. More precisely, the framework is meant to aid developers in the creation of game scenarios where both players and autonomous characters are playing an active role in a narrative that unfolds according to their actions. The document describes the current state for the assets that are part of this framework, also providing links to the source code of the assets as well as associated demonstrations and documentation. The primary audience for the contents of this deliverable are the game developers that will use the proposed framework in their development process. The information about the specific RAGE use cases that are using the framework is written in Deliverable 4.2.

Extending Automated Testing To High-level Software Requirements : A study on the feasibility of automated acceptance-testing

Automated acceptance testing is the testing of software done in higher level to test whether the system abides by the requirements desired by the business clients by the use of piece of script other than the software itself. This project is a study of the feasibility of acceptance tests written in Behavior Driven Development principle. The project includes an implementation part where automated accep- tance testing is written for Touch-point web application developed by Dewire (a software consultant company) for Telia (a telecom company) from the require- ments received from the customer (Telia). The automated acceptance testing is in Cucumber-Selenium framework which enforces Behavior Driven Development principles. The purpose of the implementation is to verify the practicability of this style of acceptance testing. From the completion of implementation, it was concluded that all the requirements from customer in real world can be converted into executable specifications and the process was not at all time-consuming or difficult for a low-experienced programmer like the author itself. The project also includes survey to measure the learnability and understandability of Gherkin- the language that Cucumber understands. The survey consist of some Gherkin exam- ples followed with questions that include making changes to the Gherkin exam- ples. Survey had 3 parts: first being easy, second medium and third most difficult. Survey also had a linear scale from 1 to 5 to rate the difficulty level for each part of the survey. 1 stood for very easy and 5 for very difficult. Time when the partic- ipants began the survey was also taken in order to calculate the total time taken by the participants to learn and answer the questions. Survey was taken by 18 of the employers of Dewire who had primary working role as one of the programmer, tester and project manager. In the result, tester and project manager were grouped as non-programmer. The survey concluded that it is very easy and quick to learn Gherkin. While the participants rated Gherkin as very easy.

Probabilistic Graphical Modelling for Software Product Lines: A Frameweork for Modeling and Reasoning under Uncertainty

This work provides a holistic investigation into the realm of feature modeling within software product lines. The work presented identifies limitations and challenges within the current feature modeling approaches. Those limitations include, but not limited to, the dearth of satisfactory cognitive presentation, inconveniency in scalable systems, inflexibility in adapting changes, nonexistence of predictability of models behavior, as well as the lack of probabilistic quantification of model’s implications and decision support for reasoning under uncertainty. The work in this thesis addresses these challenges by proposing a series of solutions. The first solution is the construction of a Bayesian Belief Feature Model, which is a novel modeling approach capable of quantifying the uncertainty measures in model parameters by a means of incorporating probabilistic modeling with a conventional modeling approach. The Bayesian Belief feature model presents a new enhanced feature modeling approach in terms of truth quantification and visual expressiveness. The second solution takes into consideration the unclear support for the reasoning under the uncertainty process, and the challenging constraint satisfaction problem in software product lines. This has been done through the development of a mathematical reasoner, which was designed to satisfy the model constraints by considering probability weight for all involved parameters and quantify the actual implications of the problem constraints. The developed Uncertain Constraint Satisfaction Problem approach has been tested and validated through a set of designated experiments. Profoundly stating, the main contributions of this thesis include the following: • Develop a framework for probabilistic graphical modeling to build the purported Bayesian belief feature model. • Extend the model to enhance visual expressiveness throughout the integration of colour degree variation; in which the colour varies with respect to the predefined probabilistic weights. • Enhance the constraints satisfaction problem by the uncertainty measuring of the parameters truth assumption. • Validate the developed approach against different experimental settings to determine its functionality and performance.

The Silent Majority: an Exploration of the Integration of Voting Software within Theatre in Education programmes

I wanted to explore whether traditional Forum Theatre approaches can be enhanced by the use of integrated voting software to empower young people. My research is based on two of a series of widening participation interactive TiE programmes focused on the decisions young people make on educational progression. I worked as a director alongside students studying Drama and Performance at The University of Worcester and the programmes have toured widely to schools across Worcestershire and Herefordshire. ‘It’s Up to You!’ (2013 – 2014) was aimed at years 8 and 9 choosing their GCSE options and ‘Move on Up!’ (2014 - 2015) looked at the hopes and fears of year 6 pupils about to go up to secondary school. Finding a voice in Boal’s framework as a ‘specactor’ does not always appeal to a pupil who does not want to stand out from the crowd or is not familiar with a classroom where drama conventions are practised or understood. The anonymity of the voting software with results of decisions made appearing instantly on screen is certainly appealing to some pupils: ‘I also loved the keypads they gave us so that we could answer the questions without having to put our hand up and wait..’ This paper aims to interrogate the idea that empowering needs to not simply be about giving voice to a few confident group members but allowing the silent majority to be able to experiment with decision making in an educational and social context.

An iterative analytical design framework for the optimal designing of an off-grid renewable energy based hybrid smart micro-grid

Creative ways of utilising renewable energy sources in electricity generation especially in remote areas and particularly in countries depending on imported energy, while increasing energy security and reducing cost of such isolated off-grid systems, is becoming an urgently needed necessity for the effective strategic planning of Energy Systems. The aim of this research project was to design and implement a new decision support framework for the optimal design of hybrid micro grids considering different types of different technologies, where the design objective is to minimize the total cost of the hybrid micro grid while at the same time satisfying the required electric demand. Results of a comprehensive literature review, of existing analytical, decision support tools and literature on HPS, has identified the gaps and the necessary conceptual parts of an analytical decision support framework. As a result this research proposes and reports an Iterative Analytical Design Framework (IADF) and its implementation for the optimal design of an Off-grid renewable energy based hybrid smart micro-grid (OGREH-SμG) with intra and inter-grid (μG2μG & μG2G) synchronization capabilities and a novel storage technique. The modelling design and simulations were based on simulations conducted using HOMER Energy and MatLab/SIMULINK, Energy Planning and Design software platforms. The design, experimental proof of concept, verification and simulation of a new storage concept incorporating Hydrogen Peroxide (H2O2) fuel cell is also reported. The implementation of the smart components consisting Raspberry Pi that is devised and programmed for the semi-smart energy management framework (a novel control strategy, including synchronization capabilities) of the OGREH-SμG are also detailed and reported. The hybrid μG was designed and implemented as a case study for the Bayir/Jordan area. This research has provided an alternative decision support tool to solve Renewable Energy Integration for the optimal number, type and size of components to configure the hybrid μG. In addition this research has formulated and reported a linear cost function to mathematically verify computer based simulations and fine tune the solutions in the iterative framework and concluded that such solutions converge to a correct optimal approximation when considering the properties of the problem. As a result of this investigation it has been demonstrated that, the implemented and reported OGREH-SμG design incorporates wind and sun powered generation complemented with batteries, two fuel cell units and a diesel generator is a unique approach to Utilizing indigenous renewable energy with a capability of being able to synchronize with other μ-grids is the most effective and optimal way of electrifying developing countries with fewer resources in a sustainable way, with minimum impact on the environment while also achieving reductions in GHG. The dissertation concludes with suggested extensions to this work in the future.

Tile-Based Two-Dimensional Phase Unwrapping for Digital Holography Using a Modular Framework

A variety of physical and biomedical imaging techniques, such as digital holography, interferometric synthetic aperture radar (InSAR), or magnetic resonance imaging (MRI) enable measurement of the phase of a physical quantity additionally to its amplitude. However, the phase can commonly only be measured modulo 2π, as a so called wrapped phase map. Phase unwrapping is the process of obtaining the underlying physical phase map from the wrapped phase. Tile-based phase unwrapping algorithms operate by first tessellating the phase map, then unwrapping individual tiles, and finally merging them to a continuous phase map. They can be implemented computationally efficiently and are robust to noise. However, they are prone to failure in the presence of phase residues or erroneous unwraps of single tiles. We tried to overcome these shortcomings by creating novel tile unwrapping and merging algorithms as well as creating a framework that allows to combine them in modular fashion. To increase the robustness of the tile unwrapping step, we implemented a model-based algorithm that makes efficient use of linear algebra to unwrap individual tiles. Furthermore, we adapted an established pixel-based unwrapping algorithm to create a quality guided tile merger. These original algorithms as well as previously existing ones were implemented in a modular phase unwrapping C++ framework. By examining different combinations of unwrapping and merging algorithms we compared our method to existing approaches. We could show that the appropriate choice of unwrapping and merging algorithms can significantly improve the unwrapped result in the presence of phase residues and noise. Beyond that, our modular framework allows for efficient design and test of new tile-based phase unwrapping algorithms. The software developed in this study is freely available.

An aspect-oriented framework for orthogonal persistence

The life cycle of software applications in general is very short and with extreme volatile requirements. Within these conditions programmers need development tools and techniques with an extreme level of productivity. We consider the code reuse as the most prominent approach to solve that problem. Our proposal uses the advantages provided by the Aspect-Oriented Programming in order to build a reusable framework capable to turn both programmer and application oblivious as far as data persistence is concerned, thus avoiding the need to write any line of code about that concern. Besides the benefits to productivity, the software quality increases. This paper describes the actual state of the art, identifying the main challenge to build a complete and reusable framework for Orthogonal Persistence in concurrent environments with support for transactions. The present work also includes a successfully developed prototype of that framework, capable of freeing the programmer of implementing any read or write data operations. This prototype is supported by an object oriented database and, in the future, will also use a relational database and have support for transactions.

Mediator framework for inserting xDRs into hadoop

During the last decades, we assisted to what is called “information explosion”. With the advent of the new technologies and new contexts, the volume, velocity and variety of data has increased exponentially, becoming what is known today as big data. Among them, we emphasize telecommunications operators, which gather, using network monitoring equipment, millions of network event records, the Call Detail Records (CDRs) and the Event Detail Records (EDRs), commonly known as xDRs. These records are stored and later processed to compute network performance and quality of service metrics. With the ever increasing number of collected xDRs, its generated volume needing to be stored has increased exponentially, making the current solutions based on relational databases not suited anymore. To tackle this problem, the relational data store can be replaced by Hadoop File System (HDFS). However, HDFS is simply a distributed file system, this way not supporting any aspect of the relational paradigm. To overcome this difficulty, this paper presents a framework that enables the current systems inserting data into relational databases, to keep doing it transparently when migrating to Hadoop. As proof of concept, the developed platform was integrated with the Altaia - a performance and QoS management of telecommunications networks and services.

Towards a better understanding of granular material processes: The coupling of a computational fluid dynamics framework with micro-mechanical models

Abstract not available

Detección automatizada de desfiguraciones en un sitio web mediante una solución basada en Software Libre

La desfiguración de sitios web es uno de los ataques más populares hoy en día y se basan en realizar un cambio en el código HTML de una página web, que se presenta como un cambio visual en la imagen del mismo. En el presente trabajo se propone desarrollar un sistema mediante el cual se puedan detectar y/o reportar dichos cambios de una forma temprana y automatizada. El Software Libre (SL) ofrece la posibilidad de crear soluciones y es el marco sobre el cual se propone una solución.

Actualización del software asociado a un sistema empresarial real en Django

El objetivo del TFG es ejectuar y documentar el proceso de actualizaci on de un sistema software real de car acter empresarial, perteneciente a la empresa dedicada a las transacciones de divisas Foreign Exchange Solutions SL. El sistema est a implementado en Python 2.7 usando el framework de desarrollo r apido de aplicaciones web Django que, comenzando por su versi on 1.3.1, terminar a al nal del proyecto en la versi on 1.4.10, lo que nos llevar a a tener que actualizar todas las librer as relacionadas, adem as de mejorar la calidad del c odigo e incluso cambiar la estructura del proyecto, prestando adem as especial atenci on a la pruebas unitarias y de regresi on para comprobar el correcto funcionamiento del sistema a lo largo del desarrollo. Todo esto con el n de conseguir las nuevas funcionalidades y caracter sticas que una versi on m as nueva nos ofrece, adem as de mejorar la calidad de la aplicaci on -aumentar la reutilizaci on del c odigo y reducir futuros errores gracias a un c odigo m as sencillo y legible-, aumentar el rendimiento, y obtener una buena cobertura de pruebas. Usaremos adem as la metodolog a agil Scrum, el SGBD PostgreSQL, adem as de otras herramientas como Solr, ElasticSearch, Redis, Celery o Mercurial para el control de versiones.