5 research outputs found

    Design and implementation of an autonomous, proactive, and reactive software infrastructure to help improving the management level of projects

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    Dissertação apresentada na Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa para obtenção do grau de Mestre em Engenharia Electrotécnica e de ComputadoresOver the years, collaboration between humans and organizations have been increasing and becoming vital to face new challenges and achieve the greatest common goals. The development of new technologies and internet capabilities promoted the emergence of new collaboration types, i.e., collaboration using software connected through internet (Collaborative Workspaces software). The use of the internet amplifies the range of action and the speed of communication among the actors involved in a collaboration. The collaboration amongst organizations is project-oriented (the common goal is to deal with projects) where several actors involved in the collaboration share their knowledge with each other. These actors are, indeed, the knowledge holders and the system which supports the collaboration has to collect and assess the knowledge from them. For this reason, this thesis aims to design and implement a software infrastructure to capture and capitalize the knowledge created over several projects. Such software is human-centered and has an autonomous, proactive and reactive behaviour to handle all users‟ needs. This software promotes its own continuous learning by analysing humans‟ behaviour over several projects, extracting information from that behaviour, and having Context-awareness. Additionally, it relies on Data mining technologies and semantic services, in order to provide a continuous monitoring of the whole project during its life cycle. The software developed is called “Companion” and has been assessed as a part of the CoSpaces Integrated Project

    Engineering context-aware systems and applications: a survey

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    Context-awareness is an essential component of systems developed in areas like Intelligent Environments, Pervasive & Ubiquitous Computing and Ambient Intelligence. In these emerging fields, there is a need for computerized systems to have a higher understanding of the situations in which to provide services or functionalities, to adapt accordingly. The literature shows that researchers modify existing engineering methods in order to better fit the needs of context-aware computing. These efforts are typically disconnected from each other and generally focus on solving specific development issues. We encourage the creation of a more holistic and unified engineering process that is tailored for the demands of these systems. For this purpose, we study the state-of-the-art in the development of context-aware systems, focusing on: A) Methodologies for developing context-aware systems, analyzing the reasons behind their lack of adoption and features that the community wish they can use; B) Context aware system engineering challenges and techniques applied during the most common development stages; C) Context aware systems conceptualization

    Engineering context-aware systems and applications:A survey

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    Context-awareness is an essential component of systems developed in areas like Intelligent Environments, Pervasive & Ubiquitous Computing and Ambient Intelligence. In these emerging fields, there is a need for computerized systems to have a higher understanding of the situations in which to provide services or functionalities, to adapt accordingly. The literature shows that researchers modify existing engineering methods in order to better fit the needs of context-aware computing. These efforts are typically disconnected from each other and generally focus on solving specific development issues. We encourage the creation of a more holistic and unified engineering process that is tailored for the demands of these systems. For this purpose, we study the state-of-the-art in the development of context-aware systems, focusing on: (A) Methodologies for developing context-aware systems, analyzing the reasons behind their lack of adoption and features that the community wish they can use; (B) Context-aware system engineering challenges and techniques applied during the most common development stages; (C) Context-aware systems conceptualization

    A Reengineering Approach to Reconciling Requirements and Implementation for Context - Aware Web Services Systems

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    In modern software development, the gap between software requirements and implementation is not always conciliated. Typically, for Web services-based context-aware systems, reconciling this gap is even harder. The aim of this research is to explore how software reengineering can facilitate the reconciliation between requirements and implementation for the said systems. The underlying research in this thesis comprises the following three components. Firstly, the requirements recovery framework underpins the requirements elicitation approach on the proposed reengineering framework. This approach consists of three stages: 1) Hypothesis generation, where a list of hypothesis source code information is generated; 2) Segmentation, where the hypothesis list is grouped into segments; 3) Concept binding, where the segments turn into a list of concept bindings linking regions of source code. Secondly, the derived viewpoints-based context-aware service requirements model is proposed to fully discover constraints, and the requirements evolution model is developed to maintain and specify the requirements evolution process for supporting context-aware services evolution. Finally, inspired by context-oriented programming concepts and approaches, ContXFS is implemented as a COP-inspired conceptual library in F#, which enables developers to facilitate dynamic context adaption. This library along with context-aware requirements analyses mitigate the development of the said systems to a great extent, which in turn, achieves reconciliation between requirements and implementation

    Requirements Analysis Using Feedback from Context Awareness Systems

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