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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 Related Links Link Description https://dx.doi.org/10.5220/0006760504320440 Link to Published Version   Versions Version Filter Type Thu, 23 May 2019, 16:19:07 EST Filtered Full Altmetric details: Access Statistics: 7 Abstract Views  -  Detailed Statistics Created: Thu, 23 May 2019, 08:44:00 EST by Catalyst Administrator