Recommendations for Evolving Relational Databases: Technical Report

This report contains technical details that could not be included in the article "Recommendations for Evolving Legacy Databases" submitted to the 32nd International Conference on Advanced Information Systems Engineering (CAISE'20)

A task-driven design model for collaborative AmI systems

Proceedings of the CAISE*06 Workshop on Ubiquitous Mobile Information and Collaboration Systems UMICS '06. Luxemburg, June 5-9, 2006.The proceedings of this workshop also appeared in printed version In T. Latour and M. Petit (eds), Proceedings of Workshops and Doctoral Consortium, The 18th International Conference on Advanced Information Systems Engineering - Trusted Information Systems (CAiSE'06), June 5-9, 2006, Presses Universitaires de Namur, 2006, ISBN 2-87037-525.Also published online by CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073)Ambient intelligence (AmI) is a promising paradigm for humancentred interaction based on mobile and context-aware computing, natural interfaces and collaborative work. AMENITIES (a conceptual and methodological framework based on task-based models) has been specially devised for collaborative systems and is the starting point for a new design proposal for application to AmI systems. This paper proposes a task-based model for designing collaborative AmI systems, which attempts to gather the computational representation of the concepts involved (tasks, laws, etc.) and the relationships between them in order to develop a complete functional environment in relation with the features of AmI systems (collaborative, context-aware, dynamic, proactive, etc.). The research has been applied to an e-learning environment and is implemented using a blackboard model.This research is partially supported by a Spanish R&D Project TIN2004-03140, Ubiquitous Collaborative Adaptive Training (U-CAT)

Software-Assisted Knowledge Generation in the Archaeological Domain: A Conceptual Framework

Comunicación presentada en la 25th International Conference on Advanced Information Systems Engineering (CAiSE 2013), celebrada en Valencia del 17 al 21 de junio de 2013.Knowledge generation processes are traditionally related to the DIKW (data-information-knowledge-wisdom) hierarchy, a layered model for the classification of human understanding. Software components can be situated in one or several of these layers, or assist in the interfaces between two of them. Most of the knowledge generation processes that occur in the archaeology field involve complex mechanisms of abstraction, relation and interpretation. Is it possible to assist the users in performing these processes? We have detected problems in the archaeological knowledge generation process that could be improved through software assistance. We propose a conceptual framework based on the structure of the data that is being managed by the user, and on the cognitive processes that the user wishes to perform on the data. The proposed framework can, arguably, set the foundation for assisted knowledge generation implemented as software systems.Peer Reviewe

The structured phase of concurrency

This extended abstract summarizes the state-of-the-art solution to the structuring problem for models that describe existing real world or envisioned processes. Special attention is devoted to models that allow for the true concurrency semantics. Given a model of a process, the structuring problem deals with answering the question of whether there exists another model that describes the process and is solely composed of structured patterns, such as sequence, selection, option for simultaneous execution, and iteration. Methods and techniques for structuring developed by academia as well as products and standards proposed by industry are discussed. Expectations and recommendations on the future advancements of the structuring problem are suggested

The evolution of tropos: Contexts, commitments and adaptivity

Software evolution is the main research focus of the Tropos group at University of Trento (UniTN): how do we build systems that are aware of their requirements, and are able to dynamically reconfigure themselves in response to changes in context (the environment within which they operate) and requirements. The purpose of this report is to offer an overview of ongoing work at UniTN. In particular, the report presents ideas and results of four lines of research: contextual requirements modeling and reasoning, commitments and goal models, developing self-reconfigurable systems, and requirements awareness