2010•Unpublished venueRequires access

A Pitfall of estimated software cost

Masood Uzzafer

Open publisher page 2 citations

Abstract

A pitfall hidden in the software cost estimation process is presented. Software project cost estimation process based on the quantile estimation software project cost distribution is not sub-additive and produce unrealistic cost estimates. Sub-additive is the process where the estimation of parts is less than or equal to the estimation of the whole. Further a solution is presented and illustrated how sub-additivity could be achieved by dealing with the expectation of the probability distribution beyond a given quantile.

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What this paper is about

A pitfall hidden in the software cost estimation process is presented. Software project cost estimation process based on the quantile estimation software project cost distribution is not sub-additive and produce unrealistic cost estimates. Sub-additive is the process where the estimation of parts is less than or equal to the estimation of the whole. Further a solution is presented and illustrated how sub-additivity could be achieved by dealing with the expectation of the probability distribution beyond a given quantile.

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Available abstract

A pitfall hidden in the software cost estimation process is presented. Software project cost estimation process based on the quantile estimation software project cost distribution is not sub-additive and produce unrealistic cost estimates. Sub-additive is the process where the estimation of parts is less than or equal to the estimation of the whole. Further a solution is presented and illustrated how sub-additivity could be achieved by dealing with the expectation of the probability distribution beyond a given quantile.

Key concepts: Quantile, Computer science, Software, Cost estimate, Estimation, Software metric, Software quality, Process (computing)

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