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A Data-Driven Framework for Automated Requirements Elicitation from Heterogeneous Digital Sources
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- Henriksson, Aron (author)
- Stockholms universitet,Institutionen för data- och systemvetenskap
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- Zdravkovic, Jelena (author)
- Stockholms universitet,Institutionen för data- och systemvetenskap
- (creator_code:org_t)
- 2020-11-18
- 2020
- English.
- In: The Practice of Enterprise Modeling. - Cham : Springer. - 9783030634780 - 9783030634797 ; , s. 351-365
- Conference paper (peer-reviewed)
Abstract
Subject headings
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- 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.
Subject headings
- NATURVETENSKAP -- Data- och informationsvetenskap -- Systemvetenskap, informationssystem och informatik (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Information Systems (hsv//eng)
Keyword
- Enterprise Modeling
- Data-Driven Requirements Engineering
- Meta-Model
- Natural Language Processing
- Machine Learning
- User Stories
- Computer and Systems Sciences
- data- och systemvetenskap
Publication and Content Type
- ref (subject category)
- kon (subject category)
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