Business Motivation Model’i ja Intentional Distribution’i võrdlus
Date
2016
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Abstract
Eesmärkide modelleerimine on tähtis, et mõista erinevate tarkvara või arhitektuuri valikute tagamaid. Praegu leidub mitmeid eesmärkidele suunatud modelleerimise võtteid. Selles töös on kasutatud semiotic quality framework’i, et võrrelda Business Motivation Model’i (BMM) ja Intentional Distribution’i (i*) kvaliteeti üldistatud tasandil. Töös hinnatakse BMM-i ja i*-i keele kvaliteeti ja mudeli kvaliteeti. Lisaks kirjeldatakse kuidas BMM-i ja i*-i keeli saab kasutada äri protsessi mudeli, siin business processes model and notation, tegemisel.
Goal modelling is an important activity to reason why different software decisions are taken, or architecture solutions are implemented. Currently there exist a number of goal-oriented modelling approaches. In this thesis, the semiotic quality framework is applied to compare the quality of the business motivation model (BMM) and Intentional Distribution (i*) modelling languages at the coarse-grained level. The thesis reports on the BMM and i* language quality and model quality. The thesis also presents observations on how the BMM and i* modelling languages could be used to reason on and support construction of the business process models expressed in business processes model and notation.
Goal modelling is an important activity to reason why different software decisions are taken, or architecture solutions are implemented. Currently there exist a number of goal-oriented modelling approaches. In this thesis, the semiotic quality framework is applied to compare the quality of the business motivation model (BMM) and Intentional Distribution (i*) modelling languages at the coarse-grained level. The thesis reports on the BMM and i* language quality and model quality. The thesis also presents observations on how the BMM and i* modelling languages could be used to reason on and support construction of the business process models expressed in business processes model and notation.