Process Correlation Analysis Model for Process Improvement Identification

Joint Authors

Choi, Su-jin
Kim, Dae-Kyoo
Park, Sooyong

Source

The Scientific World Journal

Issue

Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-10, 10 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2014-03-24

Country of Publication

Egypt

No. of Pages

10

Main Subjects

Medicine
Information Technology and Computer Science

Abstract EN

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 ofsoftware 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.

American Psychological Association (APA)

Choi, Su-jin& Kim, Dae-Kyoo& Park, Sooyong. 2014. Process Correlation Analysis Model for Process Improvement Identification. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-1048317

Modern Language Association (MLA)

Choi, Su-jin…[et al.]. Process Correlation Analysis Model for Process Improvement Identification. The Scientific World Journal No. 2014 (2014), pp.1-10.
https://search.emarefa.net/detail/BIM-1048317

American Medical Association (AMA)

Choi, Su-jin& Kim, Dae-Kyoo& Park, Sooyong. Process Correlation Analysis Model for Process Improvement Identification. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-1048317

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1048317