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

Henriksson, AronStockholms universitet,Institutionen för data- och systemvetenskap (author)

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.

NATURVETENSKAP Data- och informationsvetenskap Systemvetenskap, informationssystem och informatik hsv//swe
NATURAL SCIENCES Computer and Information Sciences Information Systems hsv//eng
Enterprise Modeling
Data-Driven Requirements Engineering
Meta-Model
Natural Language Processing
Machine Learning
User Stories
Computer and Systems Sciences
data- och systemvetenskap

Zdravkovic, JelenaStockholms universitet,Institutionen för data- och systemvetenskap(Swepub:su)jzdra (author)
Stockholms universitetInstitutionen för data- och systemvetenskap (creator_code:org_t)

In:The Practice of Enterprise ModelingCham : Springer, s. 351-36597830306347809783030634797

About the subject

NATURAL SCIENCES: NATURAL SCIENCES; and Computer and Inf ...; and Information Syst ...

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