DocumentCode :
2024359
Title :
Early & Quick function point: sizing more with less
Author :
Santillo, L. ; Conte, M. ; Meli, R.
Author_Institution :
Data Process. Organ.
fYear :
2005
fDate :
19-22 Sept. 2005
Lastpage :
6
Abstract :
The Early & Quick technique was originally proposed in 1997 for IFPUG Function Points, to size software in early stages of the development process, when functional requirements are still to be established in a detailed form and/or when a rapid measure is needed for existing software from a high-level viewpoint, within limited time. Typical lack of measurement details and requirements volatility in early project stages are overcome by the E&Q approach to provide a size estimate as a significant contribution to early project planning needs. Fundamental principles of the technique are classification by analogy, functionality structured aggregation, and multilevel approach, with statistical validation of numerical ranges. Recently, the technique has evolved, to fully comply with any functional size measurement method (ISO/IEC 14143:1998), so to cover new generation methods (e.g., COSMIC Full FP 2.2) and updated releases of existing methods (e.g., IFPUG FP 4.1 and 4.2). This paper describes the current technique release 2.0, application cases, validation results, supporting tools, and further improvement directions
Keywords :
software cost estimation; software development management; software metrics; statistical analysis; Early & Quick function point technique; functional requirements; functionality structured aggregation; project planning; size estimation; size measurement; software development; software size; statistical validation; Computer science; Costs; Educational institutions; Environmental economics; High performance computing; Productivity; Radio access networks; Software libraries; Software measurement; Time measurement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Software Metrics, 2005. 11th IEEE International Symposium
Conference_Location :
Como
ISSN :
1530-1435
Print_ISBN :
0-7695-2371-4
Type :
conf
DOI :
10.1109/METRICS.2005.33
Filename :
1509284
Link To Document :
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