2012Unpublished venueRequires access

Case Study: COSMIC Approximate Sizing Approach without Using Historical Data

Francisco Valdés Souto, Alain Abran

Open publisher page 10 citations

Abstract

In mature engineering disciplines, international consensus can be reached on measurement, as evidenced through established measurement standards. In software engineering, there are 5 functional size measurement standards. These standards work best when the functionality to be measured is fully known, although this usually doesn't happen in the early phases of software development. The techniques most often used to approximate the sizing of the software to be developed in the early phases involve historical data. However, gathering historical data is a challenge in itself. This paper proposes the use of a fuzzy logic model to approximate the functional size of a piece of software.

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What this paper is about

In mature engineering disciplines, international consensus can be reached on measurement, as evidenced through established measurement standards. In software engineering, there are 5 functional size measurement standards. These standards work best when the functionality to be measured is fully known, although this usually doesn't happen in the early phases of software development. The techniques most often used to approximate the sizing of the software to be developed in the early phases involve historical data. However, gathering historical data is a challenge in itself. This paper proposes the use of a fuzzy logic model to approximate the functional size of a piece of software.

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OpenAlex reports 10 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

In mature engineering disciplines, international consensus can be reached on measurement, as evidenced through established measurement standards. In software engineering, there are 5 functional size measurement standards. These standards work best when the functionality to be measured is fully known, although this usually doesn't happen in the early phases of software development. The techniques most often used to approximate the sizing of the software to be developed in the early phases involve historical data. However, gathering historical data is a challenge in itself. This paper proposes the use of a fuzzy logic model to approximate the functional size of a piece of software.

Key concepts: Sizing, Computer science, Software, Software sizing, Software measurement, Software engineering, Software development, Data mining

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