Date of Award


Document Type


Degree Name

Master of Science (MS)


Computer Science

First Advisor

Dr. Mansour Zand


Model based process improvement involves the use of a model to guide the improvement of an organization’s processes. Essentially, process capability is the inherent ability of a process to produce planned results. As the capability of a process increases, it becomes predictable and measurable, and the most significant cause of poor quality and productivity are controlled or eliminated. By steadily improving its process capability, the organization matures. One means of achieving this focus has been the use of a capability model. Models provide a common set of process requirements that capture best practice and practical knowledge in a format that can be used to guide priorities. There are different model used in the industry for the process improvement, commonly and widely used is the CMM model for software. Recognizing the widespread use of CMMs through industry and the government, CMMI model was released in August 2000. This model provides an integrated approach across the enterprise for improving processes, while reducing the redundancy, complexity and cost resulting from the use of separate and multiple models. CMMI model is analogous to CMM model and this integrated model might receive the same criticism from the small organizations as more process areas have been added to the integrated model. As the model is very new there is growing concern among the industries about the scope and applicability of the model. This thesis discusses on these issues and provides a set of recommendations that might be helpful for the organizations to decide the applicability and the scope of the integrated model. Thesis gives a brief description about the two models, CMM and CMMI and also present some recommendations to be consider while making the transition from the currently used model to the integrated model.


A Thesis Presented to the Department of Computer Science and the Faculty of the Graduate College University of Nebraska In Partial Fulfillment of the Requirements for the Degree Master of Science University of Nebraska at Omaha. Copyright 2001 Raghunath Shapkota