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Towards Knowledge Management to Support Decision Making for Software Process Development

Towards Knowledge Management to Support Decision Making for Software Process Development

Edrisi Muñoz, Elisabeth Capón-García
Copyright: © 2014 |Pages: 19
ISBN13: 9781466651821|ISBN10: 1466651822|EISBN13: 9781466651838
DOI: 10.4018/978-1-4666-5182-1.ch010
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MLA

Muñoz, Edrisi, and Elisabeth Capón-García. "Towards Knowledge Management to Support Decision Making for Software Process Development." Agile Estimation Techniques and Innovative Approaches to Software Process Improvement, edited by Ricardo Colomo-Palacios, et al., IGI Global, 2014, pp. 161-179. https://doi.org/10.4018/978-1-4666-5182-1.ch010

APA

Muñoz, E. & Capón-García, E. (2014). Towards Knowledge Management to Support Decision Making for Software Process Development. In R. Colomo-Palacios, J. Calvo-Manzano Villalón, A. de Amescua Seco, & T. San Feliu Gilabert (Eds.), Agile Estimation Techniques and Innovative Approaches to Software Process Improvement (pp. 161-179). IGI Global. https://doi.org/10.4018/978-1-4666-5182-1.ch010

Chicago

Muñoz, Edrisi, and Elisabeth Capón-García. "Towards Knowledge Management to Support Decision Making for Software Process Development." In Agile Estimation Techniques and Innovative Approaches to Software Process Improvement, edited by Ricardo Colomo-Palacios, et al., 161-179. Hershey, PA: IGI Global, 2014. https://doi.org/10.4018/978-1-4666-5182-1.ch010

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Abstract

The complexity of decision making in software process development and the need for highly competitive organizations require new supporting tools to coordinate and optimize the information flow among decision levels. Decision levels are related to strategic planning, tactical process management, and operational activities development and control. This chapter presents the theory for developing a framework that integrates the different decision levels in software development companies in order to reach their business objectives. Furthermore, the proposed framework coordinates the information exchange among the different modeling paradigms/conventions currently used.

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