Name
Abstract | ||
|---|---|---|
In this paper, a fuzzy logic model was created from a data set of 140 small programs developed with practices based on Personal Software Process (PSP) and then this fuzzy model was applied for predicting the productivity of a new data set consisted of 60 small programs; all programs were developed with object oriented programming languages by 35 and 15 graduated programmers respectively. Accuracy result of this fuzzy logic model was compared with that of a statistical regression model. Results suggest that a fuzzy logic model could be used for estimating and predicting productivity of the software development. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/ITNG.2010.35 | ITNG |
Keywords | Field | DocType |
fuzzy model,personal software process,statistical regression model,small program,software development,software development productivity prediction,fuzzy logic,small programs,programming language,fuzzy logic model,new data,accuracy result,fuzzy set theory,fuzzy sets,regression model,fuzzy systems,regression analysis,productivity,mathematical model,predictive models,statistical regression,software engineering,data models,programming,object oriented languages,object oriented programming,information technology,object oriented programming languages | Data modeling,Neuro-fuzzy,Personal software process,Fuzzy set operations,Computer science,Fuzzy logic,Fuzzy set,Artificial intelligence,Fuzzy control system,Software development,Machine learning | Conference |
Citations | PageRank | References |
4 | 0.42 | 4 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Cuauhtémoc López-Martín | 1 | 86 | 11.13 |
| Ivica Kalichanin-balich | 2 | 8 | 1.19 |
| Maria Elena Meda-Campana | 3 | 4 | 0.42 |
| Arturo Chavoya-pena | 4 | 9 | 1.52 |