Dealing with uncertain requirements in enterprise information system engineering using model-based approach
Ronghua Shi
Abstract
Ronghua Shi
Abstract
n software engineering or specifically in requirements engineering(RE),users' requirements frequently appear to be uncertainty and thus that has become one of the main concerns in ente rprise informationisation practices.This is particularly a key issue for enter-prise information system engineering.Upon expanding the model base and analysing the current situation of domain models,a model-based approach is proposed to address the uncertainty of users' requirements.The basic logic and activity-based procedure for such a method of addressing users' requirements are described.A project example is given,in which the ARIS(architecture of integrated in-formation systems) reference models are employed to clarify users' requirements.The research suggests that the model-based approach is used to efficiently deal with uncertain requirements in enterprise information system engineering.
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n software engineering or specifically in requirements engineering(RE),users' requirements frequently appear to be uncertainty and thus that has become one of the main concerns in ente rprise informationisation practices.This is particularly a key issue for enter-prise information system engineering.Upon expanding the model base and analysing the current situation of domain models,a model-based approach is proposed to address the uncertainty of users' requirements.The basic logic and activity-based procedure for such a method of addressing users' requirements are described.A project example is given,in which the ARIS(architecture of integrated in-formation systems) reference models are employed to clarify users' requirements.The research suggests that the model-based approach is used to efficiently deal with uncertain requirements in enterprise information system engineering.
Key concepts: Computer science, Requirements engineering, Non-functional requirement, Requirements analysis, Key (lock), Domain (mathematical analysis), Information system, Software engineering