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Revista Cubana de Ciencias Informáticas

versión On-line ISSN 2227-1899

Resumen

GARCIA RODRIGUEZ, Ana Marys; TRUJILLO CASANOLA, Yaimí  y  ARZA PEREZ, Lizandra. Forecast success in Software Process Improvement. Rev cuba cienc informat [online]. 2016, vol.10, suppl.2, pp. 15-30. ISSN 2227-1899.

ABSTRACT In software development a tendency for the definition and continuous improvement of processes in order to strategically organize actions to achieve the objectives of the organization is reflected. In this regard the software process improvement has a key role, however a significant number of failures is manifested, which is attributed to not take into account the state of the organization comprehensively about their socio-culturally environment. Some research has focused on defining a model for integral evaluation of an organization through the application of a diagnosis that considers the critical factors that influence in success, before the beginning of a process improvement. But nevertheless, this diagnosis does not bind the reuse of lessons learned about the factors that influence the improvement, which leads to engaged resources, time and effort without prior knowledge of possible results. This research aims to develop a process for the forecast of success in software process improvement, with reference to the critical success factors. A system of case-based reasoning that makes the success forecast of organizations and provides improvement scenarios over the current state to a better forecast, is developed as technological support.

Palabras clave : case-based reasoning; critical success factors; software process improvement; success.

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