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A Multi-Criteria Model for Planning and Fine-Tuning Global Agile Software Development Projects

A Multi-Criteria Model for Planning and Fine-Tuning Global Agile Software Development Projects

Luis Henrique Almeida, Adriano Bessa Albuquerque, Plácido Rogério Pinheiro
Copyright: © 2012 |Volume: 3 |Issue: 2 |Pages: 12
ISSN: 1947-8429|EISSN: 1947-8437|EISBN13: 9781466613300|DOI: 10.4018/jksr.2012040101
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MLA

Almeida, Luis Henrique, et al. "A Multi-Criteria Model for Planning and Fine-Tuning Global Agile Software Development Projects." IJKSR vol.3, no.2 2012: pp.1-12. http://doi.org/10.4018/jksr.2012040101

APA

Almeida, L. H., Albuquerque, A. B., & Pinheiro, P. R. (2012). A Multi-Criteria Model for Planning and Fine-Tuning Global Agile Software Development Projects. International Journal of Knowledge Society Research (IJKSR), 3(2), 1-12. http://doi.org/10.4018/jksr.2012040101

Chicago

Almeida, Luis Henrique, Adriano Bessa Albuquerque, and Plácido Rogério Pinheiro. "A Multi-Criteria Model for Planning and Fine-Tuning Global Agile Software Development Projects," International Journal of Knowledge Society Research (IJKSR) 3, no.2: 1-12. http://doi.org/10.4018/jksr.2012040101

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Abstract

Inter-organizational Global Software Development (GSD) has become a common reality for many projects. It is well established that distance makes difficult to interact and to cooperate effectively. Scrum, a consolidated Agile methodology, emphasizes communication, reduces coordination and control overhead and has been increasingly used in a distributed fashion. Successfully planning and managing the combined use of GSD and Scrum is a complex task and requires carefully planning. Despite the importance and complexity of this type of problem, there seems to be a lack of reports, in the literature, of models that could support managers dealing with these decision contexts. This paper presents a multi-criteria decision model for planning and fine-tuning such project plans. This model was developed using cognitive mapping and MACBETH (Bana e Costa, Sanchez-Lopez, Vansnick, & De Corte, 2011). The application of the model is demonstrated, followed by conclusion and future work.

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