Using PSU for early prediction of COSMIC size of functional and non-functional requirements

L. Buglione, O. Ormandjieva, Maia Daneva

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    1 Citation (Scopus)

    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.
    Original languageUndefined
    Title of host publicationInternational Conference on Software Process and Product Measurement (IWSM 2008 and MENSURA 2008)
    EditorsR. Dumke, R. Braungarten, G. Bueren, A. Abran, J. Cuadrado-Gallego
    Place of PublicationLondon
    PublisherSpringer
    Pages352-361
    Number of pages10
    ISBN (Print)978-3-540-89402-5
    DOIs
    Publication statusPublished - 15 Nov 2008

    Publication series

    NameLecture Notes in Computer Science
    PublisherSpringer Verlag
    Volume5338
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    Keywords

    • SCS-Services
    • METIS-254864
    • IR-62123
    • EWI-11758

    Cite this

    Buglione, L., Ormandjieva, O., & Daneva, M. (2008). Using PSU for early prediction of COSMIC size of functional and non-functional requirements. In R. Dumke, R. Braungarten, G. Bueren, A. Abran, & J. Cuadrado-Gallego (Eds.), International Conference on Software Process and Product Measurement (IWSM 2008 and MENSURA 2008) (pp. 352-361). [10.1007/978-3-540-89403-2_29] (Lecture Notes in Computer Science; Vol. 5338). London: Springer. https://doi.org/10.1007/978-3-540-89403-2_29