DocumentCode :
1782782
Title :
Knowledge extraction tacit for software process improvement in a governmental organization
Author :
Mejia, Jezreel ; Munoz, M. ; Rojo, Guillermo ; Tinajero, Ivan E. ; Ramirez Heltton, E. ; Garcia, Juan Manuel
Author_Institution :
Centro de Investig. en Mat. (CIMAT, A. C.), Zacatecas, Mexico
fYear :
2014
fDate :
18-21 June 2014
Firstpage :
1
Lastpage :
7
Abstract :
The product quality is heavily influenced by the quality of the software processes associated within any organization of software product and services development. However, an aspect in common among these organizations is the lack of ability to build or formalize tacit knowledge that allows them to maximize their competitiveness and focus efforts on the implementation of software process improvement. Therefore, this paper presents a method for the extraction of tacit knowledge applied in a government organization. The method integrates the identification of the current state of the organization, a s well as, extract, identify and define best practices within the organization, to understand how they work. In addition, a case study is presented in order to obtain results of the proposed method.
Keywords :
government data processing; knowledge acquisition; software process improvement; governmental organization; product quality; services development; software process improvement; software process quality; software product organization; tacit knowledge extraction; Abstracts; Best practices; ISO standards; Organizations; Silicon compounds; Software; Software engineering; Best Practices; Extraction Knowledge; Tacit Knowledge;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Systems and Technologies (CISTI), 2014 9th Iberian Conference on
Conference_Location :
Barcelona
Type :
conf
DOI :
10.1109/CISTI.2014.6877004
Filename :
6877004
Link To Document :
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