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Proceedings of

International Conference on Advances In Engineering And Technology ICAET 2014

"PREDICTIVE OBJECT POINT METRICS (POP): A BETTER SIZE ESTIMATOR FOR OO SOFTWARE"

RAGHURAJ SINGH SHUBHA JAIN
DOI
10.15224/978-1-63248-028-6-01-12
Pages
59 - 62
Authors
2
ISBN
978-1-63248-028-6

Abstract: “Various Techniques exists for OO estimation during different phases of software development process. PRICE Systems has developed a metric called Predictive Object Points which was designed specifically for Object oriented software and results from the measurement of the object-oriented properties of the system. Another well established technique is function points measurement for size estimation. In order to determine the suitable metrics for OO software estimation, Predictive Object Point (POP) software sizing metric is compared here with well established Function Point (FP) software sizing metric. Various projects have been taken for this comparison. This paper presents the results for these metrics. Both the results are compared to show that POP count estimate is better than FP with certain conditions.”

Keywords: Object-Oriented Measurement, Predictive Object Point, POP Count, Software Metrics, Software Sizing, Software Estimation Technique, Function Point.

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