University of Oulu

Gómez C., Ayala C., Franch X., López L., Behutiye W., Martínez-Fernández S. (2017) Towards an Ontology for Strategic Decision Making: The Case of Quality in Rapid Software Development Projects. In: de Cesare S., Frank U. (eds) Advances in Conceptual Modeling. ER 2017. Lecture Notes in Computer Science, vol 10651. Springer, Cham. doi: 10.1007/978-3-319-70625-2_11

Towards an ontology for strategic decision making : the case of quality in rapid software development projects

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Author: Gómez, Cristina1; Ayala, Claudia1; Franch, Xavier1;
Organizations: 1Universitat Politècnica de Catalunya (UPC), Barcelona, Spain
2University of Oulu, Oulu, Finland
3Fraunhofer IESE, Kaiserslautern, Germany
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 0.3 MB)
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Language: English
Published: Springer Nature, 2017
Publish Date: 2018-11-10


Strategic decision making is the process of selecting a logical and informed choice from the alternative options based on key strategic indicators determining the success of a specific organization strategy. To support this process and provide a common underlying language, in this work, we present an empirically-grounded ontology to support different strategic decision-making processes and extend the ontology to cover the context of managing quality in Rapid Software Development projects. We illustrate the complete ontology with an example.

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Series: Lecture notes in computer science
ISSN: 0302-9743
ISSN-E: 1611-3349
ISSN-L: 0302-9743
ISBN: 978-3-319-70625-2
ISBN Print: 978-3-319-70624-5
Pages: 111 - 121
DOI: 10.1007/978-3-319-70625-2_11
Host publication: Advances in Conceptual Modeling. ER 2017
Host publication editor: de Cesare, Sergio
Frank, Ulrich
Conference: International Conference on Conceptual Modeling
Type of Publication: A4 Article in conference proceedings
Field of Science: 113 Computer and information sciences
Funding: This work is a result of the Q-Rapids project, which has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement N° 732253. We thank to Q-Rapids industrial partners for participating in our empirical studies to develop the presented ontologies.
EU Grant Number: (732253) Q-RAPIDS - Quality-Aware Rapid Software Development
Copyright information: © Springer International Publishing AG 2017. This is a post-peer-review, pre-copyedit version of an article published in Advances in Conceptual Modeling. ER 2017. The final authenticated version is available online at: