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The Scientific World Journal
Volume 2014 (2014), Article ID 104072, 10 pages
http://dx.doi.org/10.1155/2014/104072
Research Article

Process Correlation Analysis Model for Process Improvement Identification

1Sogang University, Seoul, Republic of Korea
2Oakland University, Rochester’ MI 48309, USA

Received 28 December 2013; Accepted 25 February 2014; Published 24 March 2014

Academic Editors: S. K. Bhatia and P. Muller

Copyright © 2014 Su-jin Choi et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Software process improvement aims at improving the development process of software systems. It is initiated by process assessment identifying strengths and weaknesses and based on the findings, improvement plans are developed. In general, a process reference model (e.g., CMMI) is used throughout the process of software process improvement as the base. CMMI defines a set of process areas involved in software development and what to be carried out in process areas in terms of goals and practices. Process areas and their elements (goals and practices) are often correlated due to the iterative nature of software development process. However, in the current practice, correlations of process elements are often overlooked in the development of an improvement plan, which diminishes the efficiency of the plan. This is mainly attributed to significant efforts and the lack of required expertise. In this paper, we present a process correlation analysis model that helps identify correlations of process elements from the results of process assessment. This model is defined based on CMMI and empirical data of improvement practices. We evaluate the model using industrial data.