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A taxonomy analysis for multi-model process improvement from the context of software engineering processes and services

Rahman, A. A. and Sahibuddin, Shamsul and Ibrahim, Suhaimi (2012) A taxonomy analysis for multi-model process improvement from the context of software engineering processes and services. International Journal of Digital Content Technology and its Applications, 6 (22). pp. 56-65. ISSN 1975-9339

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Official URL: http://dx.doi.org/10.4156/jdcta.vol6.issue22.6

Abstract

The industrial and research communities in Software Engineering have shown great interest in Software Process Improvement initiatives. There are variety of process improvement that addresses the process improvement practices for software processes and services. Organizations initially started with single model implementation and progresses for more process improvement certification by adopting multi-model, as their improvement needs become increasing crucial. The software development organizations and quality departments leverage these models and frameworks to better address process improvement challenges. These frameworks differ in variety of aspects and making them difficult to compare objectively. This paper discusses on the multi-model process improvement and the integration approach. The main integration issue is the interoperability of the frameworks which may results in inefficiency of the development of the integrated framework. In relation to this, architectures for multi-model are investigated. We propose taxonomy for the multiple software process frameworks to support the understanding and comparison of diverse software quality frameworks. The research outcome is expected to identify the structural relationships among the frameworks and resolve the interoperability issues. The results derived from the taxonomy include characteristics and categories of attributes which are tailored to the discipline-specific framework and applied to three selected frameworks. The result of taxonomy analysis will be used as input for Delphi research approach.

Item Type:Article
Uncontrolled Keywords:Digital content technology
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:Advanced Informatics School
ID Code:46541
Deposited By: Haliza Zainal
Deposited On:22 Jun 2015 05:56
Last Modified:12 Sep 2017 08:21

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