Name
Abstract | ||
|---|---|---|
When AI search methods are applied to software process models, then appropriate technologies can be discovered for a software project. We show that those recommendations are greatly affected by the business context of its use. For example, the automatic defect reduction tools explored by the ASE community are only relevant to a subset of software projects, and only according to certain value criteria. Therefore, when arguing for the value of a particular technology, that argument should include a description of the value function of the target user community. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/ASE.2009.93 | ASE |
Keywords | Field | DocType |
artificial intelligence,software process model,software project,appropriate technology,software engineering technologies,target user community,certain value criterion,business context,ase community,value function,ai search method,software economics,automatic defect reduction tool,mathematical model,artificial intelligent,software engineering,tuning,predictive models,data models | Personal software process,Software engineering,Systems engineering,Computer science,Software project management,Software quality,Software construction,Team software process,Software sizing,Software development,Social software engineering | Conference |
ISSN | ISBN | Citations |
1527-1366 | 978-0-7695-3891-4 | 4 |
PageRank | References | Authors |
0.42 | 27 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Phillip Green II | 1 | 4 | 0.42 |
| Tim Menzies | 2 | 2886 | 151.44 |
| Steven C R Williams | 3 | 245 | 24.98 |
| oussama elrawas | 4 | 63 | 4.62 |
| Green, P. | 5 | 4 | 0.42 |
| El-Rawas, O. | 6 | 4 | 0.42 |