Functional Size Measurement is widely used, especially to quantify the size of applications in the early stages of development, when effort estimates are needed. However, the measurement process is often too long or too expensive, or it requires more knowledge than available when development effort estimates are due. To overcome these problems, early size estimation methods have been proposed, to get approximate estimates of functional measures. In general, early estimation methods adopt measurement processes that are simplified with respect to the standard process, in that one or more phases are skipped. So, the idea is that you get estimates affected by some estimation error, instead of accurate measures performed following the standard measurement process, but at a fraction of the cost and time required for standard measurement. In this paper, we consider some methods that have been proposed for estimating the COSMIC (Common Software Measurement International Consortium) size of software during the modeling stage. We apply the most recent methodologies for estimation accuracy, to evaluate whether early model-based estimation is accurate enough for practical usage.
Accuracy Evaluation of Model-based COSMIC Functional Size Estimation
Luigi Lavazza
2017-01-01
Abstract
Functional Size Measurement is widely used, especially to quantify the size of applications in the early stages of development, when effort estimates are needed. However, the measurement process is often too long or too expensive, or it requires more knowledge than available when development effort estimates are due. To overcome these problems, early size estimation methods have been proposed, to get approximate estimates of functional measures. In general, early estimation methods adopt measurement processes that are simplified with respect to the standard process, in that one or more phases are skipped. So, the idea is that you get estimates affected by some estimation error, instead of accurate measures performed following the standard measurement process, but at a fraction of the cost and time required for standard measurement. In this paper, we consider some methods that have been proposed for estimating the COSMIC (Common Software Measurement International Consortium) size of software during the modeling stage. We apply the most recent methodologies for estimation accuracy, to evaluate whether early model-based estimation is accurate enough for practical usage.
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