Name
Abstract | ||
|---|---|---|
Software reuse, widely used now a days, is the development of software using some existing software components. In this paper we have proposed a model based on four parameters: Changeability, Interface Complexity, Understandability of Software and Documentation Quality for accessing software reusability levels using soft computing techniques viz. Fuzzy Logic, Neural Network and Neuro-Fuzzy. The proposed model using Neuro-Fuzzy technique is trained well and predicts satisfactory results with MARE 22% (21% for validation set 2) and MRE 0.007% (0.04 for validation set 2) when compared with other soft computing techniques. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1145/1921532.1921548 | ACM SIGSOFT Software Engineering Notes |
Keywords | Field | DocType |
neuro-fuzzy technique,accessing software reusability level,fuzzy logic,software reusability assessment,software reusability,soft computing technique,changeability,documentation quality,and documentation quality,validation set,existing software component,understandability of software,software reuse,neuro-fuzzy,interface complexity,neural networks,soft computing techniques viz,neural network,soft computing,software component,neuro fuzzy | Systems engineering,Software engineering,Computer science,Software system,Component-based software engineering,Software construction,Software verification and validation,Software quality,Software sizing,Software development,Software measurement,Reliability engineering | Journal |
Volume | Issue | Citations |
36 | 1 | 9 |
PageRank | References | Authors |
0.43 | 21 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yogesh Singh | 1 | 9 | 0.43 |
| Pradeep Kumar Bhatia | 2 | 72 | 6.00 |
| Omprakash Sangwan | 3 | 32 | 2.12 |