Name
Title | ||
|---|---|---|
Software project effort estimation based on multiple parametric models generated through data clustering |
Abstract | ||
|---|---|---|
Requirements analysis is an important phase in a software project. The analysis is often performed in an informal way by specialists who review documents looking for ambiguities, technical inconsistencies and incomplete parts. Automation is still far ... |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1007/s11390-007-9043-5 | J. Comput. Sci. Technol. |
Keywords | Field | DocType |
software project,important phase,effort estimation,software project effort estimation,incomplete part,software measurement,software engineering,requirements analysis,multiple parametric model,technical inconsistency,clustering,parametric model,data clustering | Data mining,Parametric model,Division (mathematics),Computer science,Parametric statistics,Software,Artificial intelligence,Mathematical equations,Cluster analysis,Software measurement,Machine learning,Putnam model | Journal |
Volume | Issue | ISSN |
22 | 3 | 1860-4749 |
Citations | PageRank | References |
9 | 0.48 | 11 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Juan J. Cuadrado-Gallego | 1 | 155 | 15.16 |
| Daniel Rodríguez | 2 | 294 | 27.65 |
| Miguel ÁNgel Sicilia | 3 | 25 | 1.19 |
| Miguel Garre Rubio | 4 | 9 | 0.48 |
| Angel García Crespo | 5 | 12 | 0.92 |