Skip to Main content Skip to Navigation
New interface
Conference papers

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.
Document type :
Conference papers
Complete list of metadata

https://hal.inria.fr/hal-03434649
Contributor : Hal Ifip Connect in order to contact the contributor
Submitted on : Thursday, November 18, 2021 - 1:38:41 PM
Last modification on : Thursday, February 24, 2022 - 1:38:04 PM
Long-term archiving on: : Saturday, February 19, 2022 - 7:03:18 PM

File

 Restricted access
To satisfy the distribution rights of the publisher, the document is embargoed until : 2023-01-01

Please log in to resquest access to the document

Licence


Distributed under a Creative Commons Attribution 4.0 International License

Identifiers

Citation

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⟩

Share

Metrics

Record views

51