Name
Abstract | ||
|---|---|---|
This paper describes an approach of integrating software with a minimum risk using Genetic Algorithms (GA). The problem was initially proposed by the need of sharing common software components among various departments within a same organization. The main contribution of this study is that the software integration problem is formulated as a search problem and solved using a GA. A case study was based on an on-going software integration project carried out in the Derbyshire Fire Rescue Service, and is used to illustrate the application of the approach. |
Year | DOI | Venue |
|---|---|---|
2004 | 10.1007/b97304 | IEA/AIE |
Keywords | Field | DocType |
genetic algorithm,software integration,software component | Industrial engineering,Computer science,Operations research,Software system,Component-based software engineering,Resource-oriented architecture,Software construction,Software development,Software sizing,Software requirements,Distributed computing,Search-based software engineering | Conference |
Volume | ISSN | ISBN |
3029 | 0302-9743 | 3-540-22007-0 |
Citations | PageRank | References |
1 | 0.35 | 5 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lili Yang | 1 | 56 | 10.08 |
| Bryan F. Jones | 2 | 623 | 46.57 |