Name
Title | ||
|---|---|---|
Predicting UML Statechart Diagrams Understandability Using Fuzzy Logic-Based Techniques |
Abstract | ||
|---|---|---|
In this work, we present an application of th e Fuzzy Logic in the field of prediction in Software Engineering. We specifically use the Fuzzy Prototypical Knowledge Discovery for characterizing the UML statechart diagrams according to their understandability, starting from the structural complexity and size of the diagrams, expressed by means of metrics, and the Fuzzy Deformable Prototypes, to obtain a prediction model of the understandability time of the UML statechart diagrams. The obtained model, built from data obtained through experimentation, is valid -in a certain way- since the 75% of the estimated values are at least 70% accurate, although it is necessary further validation with data obtained from real projects. |
Year | Venue | Keywords |
|---|---|---|
2004 | SEKE | knowledge discovery,software engineering,prediction model,fuzzy logic,structural complexity |
Field | DocType | Citations |
Data mining,UML state machine,Systems engineering,Computer science,Fuzzy logic,Applications of UML | Conference | 1 |
PageRank | References | Authors |
0.41 | 17 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| José A. Cruz-lemus | 1 | 218 | 11.76 |
| Marcela Genero | 2 | 968 | 60.55 |
| José A. Olivas | 3 | 106 | 20.85 |
| Francisco P. Romero | 4 | 235 | 27.46 |
| Mario Piattini | 5 | 4232 | 354.63 |