Predictive Object Point Metrics (POP): A better Size Estimator for OO Software

RAGHURAJ, SINGH and SHUBHA, JAIN (2014) Predictive Object Point Metrics (POP): A better Size Estimator for OO Software. In: International Conference on Advances In Engineering And Technology - ICAET 2014, 24 - 25 May, 2014, RIT, Roorkee, India.

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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.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Object-Oriented Measurement, Predictive Object Point, POP Count, Software Metrics, Software Sizing, Software Estimation Technique, Function Point.
Depositing User: Mr. John Steve
Date Deposited: 21 May 2019 10:54
Last Modified: 21 May 2019 10:54
URI: http://publications.theired.org/id/eprint/2598

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