Name
Title | ||
|---|---|---|
Applying Machine Learning Using Case-Based Reasoning (CBR) and Rule-Based Reasoning (RBR) Approaches to Object-Oriented Application Framework Documentation |
Abstract | ||
|---|---|---|
Several challenges and problems of developing, using and maintaining object-oriented application frameworks have been identified. It was discovered that companies attempting to build or use large-scale reusable framework often fail unless they recognize and resolve challenges such as development effort, learning curve, integratability, maintainability, validation, defect removal, efficiency, and lack of standards. Framework documentation plays a major role in facing the above challenges. It directly affects the learning curve, maintainability, and defect removal aspects of the application frameworks. We have studied various documenting approaches and concluded that the current approaches are not very effective in overcoming the above challenges, especially on the efficiency problem. So, in this paper we are going to apply machine learning using case-based reasoning (CBR) and rule-based reasoning (RBR) to framework documentation. We will come up with a documentation architecture that combines both techniques in order to come up with improved framework documentation. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1109/ICITA.2005.74 | ICITA (1) |
Keywords | Field | DocType |
large-scale reusable framework,rule-based reasoning,defect removal aspect,efficiency problem,application framework,improved framework documentation,defect removal,object-oriented application framework documentation,documentation architecture,object-oriented application framework,machine learning,case-based reasoning,framework documentation,computer science,case based reasoning,rule based reasoning,application software,knowledge based systems,use case,object oriented programming,software engineering,learning curve,object oriented,case base reasoning,learning artificial intelligence,information technology,documentation,java | Architecture,Rule-based system,Object-oriented programming,Computer science,Knowledge-based systems,Artificial intelligence,Learning curve,Documentation,Case-based reasoning,Maintainability,Machine learning | Conference |
ISBN | Citations | PageRank |
0-7695-2316-1 | 2 | 0.45 |
References | Authors | |
7 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hajar Mat Jani | 1 | 2 | 1.47 |
| Lee Sai Peck | 2 | 2 | 0.79 |