Requirements for I* Based Models to Detect Proactivity in Dashboards

Authors

  • Alain Pérez Acosta Instituto Superior Politécnico José Antonio Echeverría (CUJAE), Facultad de Ingeniería Informática
  • Mailyn Moreno Espino Instituto Superior Politécnico José Antonio Echeverría (CUJAE), Facultad de Ingeniería Informática

DOI:

https://doi.org/10.21501/21454086.1349

Keywords:

dashboards, i*, requirement models

Abstract

This paper aims to present models for the capture of the requirements of a dashboard that allow detecting a proactive behavior. These models follow a goals oriented approach and were created using the framework i *, which is based on the premises of the social modeling. In order to detect the proactive behavior patterns based on models of i * that allow detecting proactivity in the stage of requirements of a system of software were used. In the models obtained as a result of the paper were represented the actors, goals, intentions, tasks and resources necessary to model the requirements of a dashboard with a proactive behavior, and these models can be used in addition in different contexts of business.

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Author Biography

Alain Pérez Acosta, Instituto Superior Politécnico José Antonio Echeverría (CUJAE), Facultad de Ingeniería Informática

Profesor universitario

References

Zagorecki, A., et al., Executive Dashboard Systems for Emergency Management. COMMUNICATIONS, 2012. 4(2): p. 82-89.

Gröger, C., et al., The Operational Process Dashboard for Manufacturing. 2013: p. 6.

Lempinen, H., Constructing a Design Framework for Performance Dashboards, in Nordic Contributions in IS Research, C. Keller, et al., Editors. 2012, Springer Berlin Heidelberg. p. 109-130.

Elias, M. and A. Bezerianos, Exploration Views: Understanding Dashboard Creation and Customization for Visualization Novices, in Human-Computer Interaction – INTERACT 2011, P. Campos, et al., Editors. 2011, Springer Berlin Heidelberg. p. 274-291.

Eckerson, W.W., What Are Performance Dashboards?, in Performance Dashboards: Measuring, Monitoring, and Managing Your

Business, John Wiley & Sons.

Few, S., Information Dashboard Design: The Effective Visual Communication of Data 2006: O'Reilly.

Yigitbasioglu, O.M. and O. Velcu, A review of dashboards in performance management: Implications for design and research. International Journal of Accounting Information Systems, 2011. 13: p. 19.

Grant, A.M. and S.J. Ashford, The dynamics of proactivity at work. Research in Organizational Behavior, 2008. 28(-): p. 3-34.

Li, J. and Y. Feng, Construction of Multi-Agent System for Decision Support of Online Shopping, in Emerging Research in Artificial Intelligence and Computational Intelligence, H. Deng, et al., Editors. 2011, Springer Berlin Heidelberg. p. 318-324.

Srinivasan, S., J. Singh, and V. Kumar, Multi-agent based decision Support System using Data Mining and Case Based Reasoning. International Journal of Computer Science Issues, 2011. 8(4): p. 340-349.

Lindgren, H., D. Surie, and I. Nilsson, Agent-Supported Assessment for Adaptive and Personalized Ambient Assisted Living, in Trends in Practical Applications of Agents and Multiagent Systems, J. Corchado, et al., Editors. 2011, Springer Berlin Heidelberg. p. 25-32.

McNaull, J., et al., Multi-agent System Feedback and Support for Ambient Assisted Living, in 8th International Conference on Intelligent Environments. 2012: Guanajuato p. 319 - 322.

Ghorbani, J., M.A. Choudhry, and A. Feliachi, Real-time multi agent system modeling for fault detection in power distribution systems in North American Power Symposium. 2012: Champaign. p. 1-6.

Moreno, M., Patrones para incorporar proactividad en sistemas informáticos. 2013, Instituto Superior Politécnico José Antonio Echeverría: La Habana. p. 172.

Yu, E., Social Modeling and i*, in Conceptual Modeling: Foundations and Applications, T.B. Alexander, et al., Editors. 2009, Springer-Verlag. p. 99-121.

Yu, E., et al., Social Modeling for Requirements Engineering. 1st ed. 2011, Cambridge: The MIT Press. 760.

Mazón, J.N., J. Pardillo, and J. Trujillo, A Model-Driven Goal-Oriented Requirement Engineering Approach for Data Warehouses, in Advances in Conceptual Modeling – Foundations and Applications, J.-L. Hainaut, et al., Editors. 2007, Springer Berlin Heidelberg: Berlin. p. 255-264.

Frankl, V., Man's Search for Meaning. 2006: Beacon Press.

Jennings, N.R., An agent-based approach for building complex software systems. Communications of the ACM, 2001. 44(4): p. 35-41.

Sommerville, I., Integrated Requirements Engineering: A Tutorial. IEEE Software, 2005. 22(1): p. 16-23.

Sommerville, I. and P. Sawyer, Requirements Engineering: A Good Practice Guide. 1st ed. 1997: John Wiley & Sons. 404.

Jacobson, I., G. Booch, and J. Rumbaugh, The Unified Software Development Process. reprint ed. 2012: Prentice Hall.

Fuentes-Fernández, R., J. Gómez-Sanz, and J. Pavón, Understanding the human context in requirements elicitation. Requirements Engineering, 2010. 15(3): p. 267-283.

Horkoff, J. and E. Yu, Comparison and evaluation of goal-oriented satisfaction analysis techniques. Requirements Engineering, 2013. 18(3): p. 199-222.

Yu, E., Modelling Strategic Relationships for Process Reengineering, in Department of Computer Science. 1995, University of Toronto: Toronto, Canada.

Inmon, W.H., Building the Data Warehouse. 4th ed. 2005, Chichester: Wiley.

Burg, B., Foundation for Intelligent Physical Agents. 2004.

Published

2014-06-29

How to Cite

Pérez Acosta, A., & Moreno Espino, M. (2014). Requirements for I* Based Models to Detect Proactivity in Dashboards. Lámpsakos, (12), 101–109. https://doi.org/10.21501/21454086.1349