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A Data-Driven Framework for Automated Requirements Elicitation from Heterogeneous Digital Sources

Abstract : Increased digitalization and the pervasiveness of Big Data, along with vastly improved data processing capabilities, have led to the consideration of digital data as additional sources of system requirements, complementing conventional stakeholder-driven approaches. The volume, velocity and variety of these digital sources present numerous challenges which existing system development methods are unable to manage in a systematic and efficient manner. We propose a holistic and data-driven framework for continuous and automated acquisition, analysis and aggregation of heterogeneous digital sources for the purposes of requirements elicitation and management. The proposed framework includes a conceptualization in the form of a meta-model and a high-level process for its use; the framework is illustrated in a real case of an enterprise software.
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Submitted on : Thursday, November 18, 2021 - 1:38:41 PM
Last modification on : Thursday, February 24, 2022 - 1:38:04 PM
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Aron Henriksson, Jelena Zdravkovic. A Data-Driven Framework for Automated Requirements Elicitation from Heterogeneous Digital Sources. 13th IFIP WG 8.1 Working Conference on the Practice of Enterprise Modeling (PoEM 2020), Nov 2020, Riga, Latvia. pp.351-365, ⟨10.1007/978-3-030-63479-7_24⟩. ⟨hal-03434649⟩



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