Abstract
The project effort calculation with a functional size measurement method such as COSMIC can only be properly performed after the “Requirements Analysis” phase in a Project Life Cycle. The goal of this research is to investigate an early and project-level tuned prediction of the product size with the intent to reduce the effect of the ‘cone of uncertainty’ phenomenon. The lack of size measurement methods which take into account the effect of the product non-functional requirements (NFR) on size also contributes to the above phenomenon. We propose to use the Project Size Unit (PSU) technique for predicting the product (FUR and NFR) size measured in COSMIC functional size units. Such early prediction will lower the cost of size counting the project and minimize the estimation error in the requirements phase. Furthermore, the PSU calculation procedure can be automated, which would further reduce the cost of size counting. The expected advantage of jointly using PSU and COSMIC is the ability to get early estimates of the whole project effort.
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Buglione, L., Ormandjieva, O., Daneva, M. (2008). Using PSU for Early Prediction of COSMIC Size of Functional and Non-functional Requirements. In: Dumke, R.R., Braungarten, R., Büren, G., Abran, A., Cuadrado-Gallego, J.J. (eds) Software Process and Product Measurement. Mensura MetriKon IWSM 2008 2008 2008. Lecture Notes in Computer Science, vol 5338. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-89403-2_29
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DOI: https://doi.org/10.1007/978-3-540-89403-2_29
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