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Object-oriented productivity metricsSoftware productivity metrics are useful for sizing and costing proposed software and for measuring development productivity. Estimating and measuring source lines of code (SLOC) has proven to be a bad idea because it encourages writing more lines of code and using lower level languages. Function Point Analysis is an improved software metric system, but it is not compatible with newer rapid prototyping and object-oriented approaches to software development. A process is presented here for counting object-oriented effort points, based on a preliminary object-oriented analysis. It is proposed that this approach is compatible with object-oriented analysis, design, programming, and rapid prototyping. Statistics gathered on actual projects are presented to validate the approach.
Document ID
19940008688
Document Type
Conference Paper
Authors
Connell, John L. (Sterling Software, Inc. Palo Alto, CA, United States)
Eller, Nancy (Sterling Software, Inc. Palo Alto, CA, United States)
Date Acquired
September 6, 2013
Publication Date
January 1, 1992
Publication Information
Publication: JPL, Ninth Annual NASA(Contractors Conference on Quality and Productivity. World Class Excellence: The Journey Continues. Conference Presentations
Subject Category
QUALITY ASSURANCE AND RELIABILITY
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.

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