16,163 research outputs found

    Proceedings of the Salford Postgraduate Annual Research Conference (SPARC) 2011

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    These proceedings bring together a selection of papers from the 2011 Salford Postgraduate Annual Research Conference(SPARC). It includes papers from PhD students in the arts and social sciences, business, computing, science and engineering, education, environment, built environment and health sciences. Contributions from Salford researchers are published here alongside papers from students at the Universities of Anglia Ruskin, Birmingham City, Chester,De Montfort, Exeter, Leeds, Liverpool, Liverpool John Moores and Manchester

    WeaFQAs: A Software Product Line Approach for Customizing and Weaving Efficient Functional Quality Attributes

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    Fecha de Lectura de Tesis: 10 de julio de 2018Los atributos de calidad funcionales (FQA) son aquellos que tienen una clara implicación en la funcionalidad del sistema, es decir, existen unos componentes específicos que deben ser incorporados a la arquitectura software del sistema para satisfacer sus requisitos de atributos de calidad. Ejemplos de FQAs son seguridad, usabilidad, o persistencia. Modelar estos atributos es una tarea compleja. Por un lado, se componen de muchas características relacionadas, por ejemplo seguridad está compuesto, entre otros, por autenticación, confidencialidad y encriptación. Tienen dependencias entre ellos, por ejemplo, seguridad puede ser requerido por usabilidad o persistencia. Por otro lado, tienen muchos puntos de variabilidad: una aplicación concreta puede requerir autenticación y control de acceso mientras que otra puede necesitar sólo encriptación. Además, su funcionalidad suele estar dispersa afectando a varios componentes del sistema en desarrollo. El objetivo de esta tesis es definir una línea de productos software orientada a aspectos que permita: (1) modelar las similitudes y la variabilidad de los FQAs desde las primeras etapas del proceso de desarrollo, (2) gestionar las dependencias existentes entre los FQAs, (3) independizar el modelado de los FQAs de la arquitectura de la aplicación afectada, (4) configurar los FQAs en base a los requisitos de cada aplicación teniendo además en cuenta propiedades no funcionales como el rendimiento y el consumo energético de cada solución, (5) incorporar las configuraciones a la arquitectura de la aplicación de manera automática; y (6) gestionar la evolución de los FQAs cuando los requisitos cambien en el futuro. Como resultado se ha definido WeaFQAs, un proceso software para gestionar los FQAs que cubre todos los puntos mencionados. Se han realizado y comparado dos instanciaciones de WeaFQAs usando diferentes lenguajes de variabilidad y de modelado, además de proporcionar soporte con una herramienta basada en el lenguaje CVL

    Achieving Autonomic Computing through the Use of Variability Models at Run-time

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    Increasingly, software needs to dynamically adapt its behavior at run-time in response to changing conditions in the supporting computing infrastructure and in the surrounding physical environment. Adaptability is emerging as a necessary underlying capability, particularly for highly dynamic systems such as context-aware or ubiquitous systems. By automating tasks such as installation, adaptation, or healing, Autonomic Computing envisions computing environments that evolve without the need for human intervention. Even though there is a fair amount of work on architectures and their theoretical design, Autonomic Computing was criticised as being a \hype topic" because very little of it has been implemented fully. Furthermore, given that the autonomic system must change states at runtime and that some of those states may emerge and are much less deterministic, there is a great challenge to provide new guidelines, techniques and tools to help autonomic system development. This thesis shows that building up on the central ideas of Model Driven Development (Models as rst-order citizens) and Software Product Lines (Variability Management) can play a signi cant role as we move towards implementing the key self-management properties associated with autonomic computing. The presented approach encompass systems that are capable of modifying their own behavior with respect to changes in their operating environment, by using variability models as if they were the policies that drive the system's autonomic recon guration at runtime. Under a set of recon guration commands, the components that make up the architecture dynamically cooperate to change the con guration of the architecture to a new con guration. This work also provides the implementation of a Model-Based Recon guration Engine (MoRE) to blend the above ideas. Given a context event, MoRE queries the variability models to determine how the system should evolve, and then it provides the mechanisms for modifying the system.Cetina Englada, C. (2010). Achieving Autonomic Computing through the Use of Variability Models at Run-time [Tesis doctoral no publicada]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/7484Palanci

    Creating sustainable textile futures for women: Digitizing Cordillera weaving tradition (CSTFW) project Evaluation Report March 2019

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    Executive Summary Introduction This Evaluation Report has been prepared to evaluate the success of The Creating Sustainable Textile Futures for Women: Digitizing Cordillera Weaving Tradition (CSTFW) project undertaken 2018-19 with the support of a Crafting Futures British Council / Crafts Council Grant awarded October 2018. This evaluation report will outline the aims and objectives of the project, the research design and research methods undertaken. The report will detail the limitations and advantages of the project design and present the project findings to support the development of a Learning Tool Kit. The report evaluation will focus on the qualitative analysis of our observational data, which was recorded via field notes, digital photographs, film, sound and via the project activities which have taken place to date as a result of one Field Research Visit undertaken by Rachel Kelly and Michelle Stephens in January 2019. Project Background The CSTFW project aims to investigate the loss of cultural weave heritage within the Cordillera Region in Northern Luzon area of The Philippines. It has been identified by Professor Salvador-Amores of The Cordillera Textiles Project (CordiTex) established by The University of Philippines, that while Cordilleran weaving has the status of National Heritage within The Philippines, the numbers of weavers able to practice is dwindling (CordiTex 2018). For the CSTFW project, the CordiTex team have partnered with a team from Manchester School of Art (MsoA) at Manchester Metropolitan University led by Professor Alice Kettle, Rachel Kelly and Michelle Stephens. The partnership has been established as a result of the successful award to the CSTFW project of the Crafting Futures British Council/Crafts Council Grant 2018-19. The partnership has enabled the two teams to share knowledge, literature, research findings, textile artefacts, weaving knowledge, networks of contacts, access to weave communities, digital loom facilities and prior research experiences. The results of this collaboration has been the successful undertaking of the project in order to develop a long-term change process within the identified project context. The grant awarded, enabled Rachel Kelly & Michelle Stephens to travel to the Philippines to undertake field research, field workshops and to deliver a one-day multi stakeholder Learning Tool Kit Development workshop at The University of Philippines in Baguio

    Unwoven Aspect Analysis

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    Various languages and tools supporting advanced separation of concerns (such as aspect-oriented programming) provide a software developer with the ability to separate functional and non-functional programmatic intentions. Once these separate pieces of the software have been specified, the tools automatically handle interaction points between separate modules, relieving the developer of this chore and permitting more understandable, maintainable code. Many approaches have left traditional compiler analysis and optimization until after the composition has been performed; unfortunately, analyses performed after composition cannot make use of the logical separation present in the original program. Further, for modular systems that can be configured with different sets of features, testing under every possible combination of features may be necessary and time-consuming to avoid bugs in production software. To solve this testing problem, we investigate a feature-aware compiler analysis that runs during composition and discovers features strongly independent of each other. When the their independence can be judged, the number of feature combinations that must be separately tested can be reduced. We develop this approach and discuss our implementation. We look forward to future programming languages in two ways: we implement solutions to problems that are conceptually aspect-oriented but for which current aspect languages and tools fail. We study these cases and consider what language designs might provide even more information to a compiler. We describe some features that such a future language might have, based on our observations of current language deficiencies and our experience with compilers for these languages
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