Process Correlation Analysis Model for Process Improvement Identification
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...
Saved in:
Main Authors: | , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2014-01-01
|
Series: | The Scientific World Journal |
Online Access: | http://dx.doi.org/10.1155/2014/104072 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
_version_ | 1832545834372169728 |
---|---|
author | Su-jin Choi Dae-Kyoo Kim Sooyong Park |
author_facet | Su-jin Choi Dae-Kyoo Kim Sooyong Park |
author_sort | Su-jin Choi |
collection | DOAJ |
description | 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. |
format | Article |
id | doaj-art-1c87355cba3148669410817954434cf9 |
institution | Kabale University |
issn | 2356-6140 1537-744X |
language | English |
publishDate | 2014-01-01 |
publisher | Wiley |
record_format | Article |
series | The Scientific World Journal |
spelling | doaj-art-1c87355cba3148669410817954434cf92025-02-03T07:24:31ZengWileyThe Scientific World Journal2356-61401537-744X2014-01-01201410.1155/2014/104072104072Process Correlation Analysis Model for Process Improvement IdentificationSu-jin Choi0Dae-Kyoo Kim1Sooyong Park2Sogang University, Seoul, Republic of KoreaOakland University, Rochester’ MI 48309, USASogang University, Seoul, Republic of KoreaSoftware 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.http://dx.doi.org/10.1155/2014/104072 |
spellingShingle | Su-jin Choi Dae-Kyoo Kim Sooyong Park Process Correlation Analysis Model for Process Improvement Identification The Scientific World Journal |
title | Process Correlation Analysis Model for Process Improvement Identification |
title_full | Process Correlation Analysis Model for Process Improvement Identification |
title_fullStr | Process Correlation Analysis Model for Process Improvement Identification |
title_full_unstemmed | Process Correlation Analysis Model for Process Improvement Identification |
title_short | Process Correlation Analysis Model for Process Improvement Identification |
title_sort | process correlation analysis model for process improvement identification |
url | http://dx.doi.org/10.1155/2014/104072 |
work_keys_str_mv | AT sujinchoi processcorrelationanalysismodelforprocessimprovementidentification AT daekyookim processcorrelationanalysismodelforprocessimprovementidentification AT sooyongpark processcorrelationanalysismodelforprocessimprovementidentification |