Name
Abstract | ||
|---|---|---|
The Simulators of Software Development Projects based on dynamic models have supposed a significant advance in front of the traditional techniques of estimate. These simulators enable to know the evolution of a project before, during and after the execution of the same one. But its use in the e stimate of the project before beginning the execution, has been b raked b y the great number of attributes of the project t hat it is necessary to know previously. In this paper are presented the improvements that have been added to the simulator developed in our department to facilitate the use of them, and a new improvement obtained when using machine learning and fuzzy logic techniques with the databases generated by the simulator. In this last case, the project manager can know, in function of the decisions that he takes, the level of execution of the project objectives. |
Year | Venue | Keywords |
|---|---|---|
2001 | ICEIS (1) | fuzzy logic,projects estimation,machine learning.,simulation,software development,machine learning |
Field | DocType | Citations |
Software Engineering Process Group,Personal software process,Software peer review,Package development process,Computer science,Knowledge management,Software project management,Software construction,Team software process,Social software engineering | Conference | 1 |
PageRank | References | Authors |
0.38 | 1 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Isabel Ramos | 1 | 23 | 9.32 |
| José Cristóbal Riquelme Santos | 2 | 318 | 42.86 |
| Javier Aroba Páez | 3 | 1 | 0.72 |