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Data-Driven Agile R...
Data-Driven Agile Requirements Elicitation through the Lenses of Situational Method Engineering
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- Franch, Xavier (author)
- Univ. Politècnica de Catalunya, Spain
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- Henriksson, Aron (author)
- Stockholms universitet,Institutionen för data- och systemvetenskap
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- Ralyté, Jolita (author)
- University of Geneva, Switzerland
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- Zdravkovic, Jelena (author)
- Stockholms universitet,Institutionen för data- och systemvetenskap
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Univ Politècnica de Catalunya, Spain Institutionen för data- och systemvetenskap (creator_code:org_t)
- IEEE, 2021
- 2021
- English.
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In: 2021 IEEE 29th International Requirements Engineering Conference (RE). - : IEEE. - 9781665428569 ; , s. 402-407
- Related links:
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Subject headings
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- Ubiquitous digitalization has led to the continuous generation of large amounts of digital data, both in organizations and in society at large. In the requirements engineering community, there has been a growing interest in considering digital data as new sources for requirements elicitation, in addition to stake-holders. The volume, dynamics, and variety of data makes iterative requirements elicitation increasingly continuous, but also unstructured and complex, which current agile methods are unable to consider and manage in a systematic and efficient manner. There is also the need to support software evolution by enabling a synergy of stakeholder-driven requirements elicitation and management with data-driven approaches. In this study, we propose extension of agile requirements elicitation by applying situational method engineering. The research is grounded on two studies in the business domains of video games and online banking.
Subject headings
- NATURVETENSKAP -- Data- och informationsvetenskap -- Systemvetenskap, informationssystem och informatik (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Information Systems (hsv//eng)
Keyword
- data-driven requirements elicitation
- situational method engineering
- agile system development
- design science
- data- och systemvetenskap
- Computer and Systems Sciences
Publication and Content Type
- ref (subject category)
- kon (subject category)
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