Abstract | ||
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Many decisions during making a project estimation and planning are based on previous experience and competency of a manager. Evaluated completed projects provide rich knowledge about similar decisions and reality. This paper focuses on the approach how to estimate value of specific parameters of the projects utilizing parameterized use case model. The proven methods are used -- SOM for grouping similar use-cases and fuzzy rules for calculating the search parameter value. An important part of the approach there is to build up and maintain comparative database of valued use cases. |
Year | DOI | Venue |
---|---|---|
2012 | 10.1145/2457276.2457305 | MEDES |
Keywords | Field | DocType |
previous experience,similar use-cases,similar decision,project estimation,comparative database,use case,search parameter value,value estimation,parameterized use case model,fuzzy rule,use case parameter,important part,product metrics,cost estimation | Data mining,Parameterized complexity,Competence (human resources),Use case,Use Case Diagram,Computer science,Fuzzy logic,Estimation,Cost estimate,Artificial intelligence,Product metric,Machine learning | Conference |
Citations | PageRank | References |
1 | 0.36 | 10 |
Authors | ||
7 |
Name | Order | Citations | PageRank |
---|---|---|---|
Jakub Štolfa | 1 | 13 | 10.23 |
Ondřej Koběrský | 2 | 1 | 0.36 |
Martin Kopka | 3 | 7 | 2.59 |
Krömer Pavel | 4 | 330 | 59.99 |
Svatopluk Štolfa | 5 | 25 | 13.96 |
Jan Kožusznik | 6 | 2 | 1.41 |
Václav Snasel | 7 | 1261 | 210.53 |