Least modification principle for case-based reasoning: a software project planning experience
Publication Type
Journal Article
Publication Date
2-2006
Abstract
A software project plan is composed of stages of activities and detailed tasks to be performed, and precedence restrictions among them. A project network is very complex and its construction requires a vast amount of field knowledge and experience. To assist the construction of a software project network, we adopt the case-based reasoning approach. However, the software project network may be designed differently depending upon the adopted development methodology and the style of the manager, so full automation of adjusting a past case is almost impossible. Thus, reducing the modification effort to a minimum is very important for enhancing the project planner's performance. In this research, we develop the framework of the Least Modification Principle (LMP) for Case-based Reasoning to solve this kind of problem. LMP is applicable when a reliable estimation of modification effort is possible. To apply the LMP for project network planning, we have selected 17 factors and the values for each factor to specify software projects. The modification effort is estimated based on the syntactic structure of modification rules. The performance of LMP is demonstrated with each of 31 test cases based on the other 30 past cases. We found that the LMP approach can significantly outperform the Ordinary Factor Matching approach.
Keywords
Software project planning, Least modification principle, Modification effort estimation, Case based reasoning, Project management
Discipline
Computer Sciences | Management Information Systems
Research Areas
Information Systems and Management
Publication
Expert Systems with Applications
Volume
30
Issue
2
First Page
190
Last Page
202
ISSN
0957-4174
Identifier
10.1016/j.eswa.2005.06.021
Publisher
Elsevier
Citation
LEE, Jae Kyu and LEE, Nobok.
Least modification principle for case-based reasoning: a software project planning experience. (2006). Expert Systems with Applications. 30, (2), 190-202.
Available at: https://ink.library.smu.edu.sg/sis_research/1183
Additional URL
http://dx.doi.org/10.1016/j.eswa.2005.06.021