Towards an Agile Lifecycle in Operation Research Projects

Vidoni, M, Cunico, M and Vecchietti, A 2018, 'Towards an Agile Lifecycle in Operation Research Projects', in Slimane Hammoudi, Michal Smialek, Olivier Camp and Joaquim Filipe (ed.) Proceedings of the 20th International Conference on Enterprise Information Systems (ICEIS 2018: Volume 1), Madeira, Portugal, 21-24 March 2018, pp. 432-440.


Document type: Conference Paper
Collection: Conference Papers

Title Towards an Agile Lifecycle in Operation Research Projects
Author(s) Vidoni, M
Cunico, M
Vecchietti, A
Year 2018
Conference name ICEIS 2018: Volume 1
Conference location Madeira, Portugal
Conference dates 21-24 March 2018
Proceedings title Proceedings of the 20th International Conference on Enterprise Information Systems (ICEIS 2018: Volume 1)
Editor(s) Slimane Hammoudi, Michal Smialek, Olivier Camp and Joaquim Filipe
Publisher SciTePress
Place of publication Setúbal, Portugal
Start page 432
End page 440
Total pages 9
Abstract Often, Operation Research (OR) interventions focus more on solving a specific problem than addressing the project as a whole. Even more, developers do not acknowledge OR models as systems that are part of an organisation. The lack of a methodology guiding the project complicates the introduction of changes in the model due to alterations in the requirements. However, these issues have already been acknowledged, addressed and solved in the Software Engineering (SE) discipline. Thus, considering the current contributions from SE to OR projects, and the solutions offered by the first, this article analyses more deeply the similarities existing in the lifecycles of projects aiming to narrow the gap that exists in OR research, due to the lack of project methodologies. A proposal is made regarding the flow of information refinement and lifecycle phases predominant in OR projects; an initial theoretical adaptation of Feature Driven Development showcases their potential and possibilities. After this, current limitations and future works are discussed.
Subjects Software Engineering
Operations Research
Keyword(s) Operations Research
Decision Support Systems
Systems Engineering
DOI - identifier 10.5220/0006760504320440
Copyright notice Copyright © 2018 by SCITEPRESS Science and Technology Publications, Lda. All rights reserved
ISBN 9789897582981
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