Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
An Empirical Analysis of the Usage of Requirements Attributes in Requirements Engineering Research and Practice
Blekinge Institute of Technology, Faculty of Computing, Department of Software Engineering.ORCID iD: 0000-0003-3567-9300
Blekinge Institute of Technology, Faculty of Computing, Department of Software Engineering.ORCID iD: 0000-0003-3907-3357
Blekinge Institute of Technology, Faculty of Computing, Department of Software Engineering.ORCID iD: 0000-0001-8142-9631
Blekinge Institute of Technology, Faculty of Computing, Department of Software Engineering. student.
Show others and affiliations
2024 (English)In: Computational Collective Intelligence: Proceedings, Part II / [ed] Nguyen, NT, Franczyk, B, Ludwig, A, Nunez, M, Treur, J, Vossen, G, Kozierkiewicz, A, Springer Science+Business Media B.V., 2024, p. 29-40Conference paper, Published paper (Refereed)
Abstract [en]

Requirements attributes play an important role in storing and managing meta-information about requirements. This paper presents the results of a literature review and two industrial case studies performed at two large organizations developing software-intensive products for a global market. We performed seven snowballing iterations and identified 18 studies where we extracted requirements attributes. Next, we compare these identified attributes with those of two large companies developing software-intensive products for a global market. We found common attributes that describe stakeholders and roles, support change management, tracing and communication, tracking the status, and estimating the business value of requirements. 

Place, publisher, year, edition, pages
Springer Science+Business Media B.V., 2024. p. 29-40
Series
Lecture Notes in Computer Science (LNCS), ISSN 0302-9743, E-ISSN 1611-3349 ; 14811
Keywords [en]
case study, empirical study, literature review, requirements attributes, requirements management, Commerce, Computer software selection and evaluation, Case-studies, Empirical analysis, Empirical studies, Global market, Industrial case study, Literature reviews, Meta information, Requirement attribute, Requirement engineering, Requirement management, Requirements engineering
National Category
Software Engineering
Identifiers
URN: urn:nbn:se:bth-26979DOI: 10.1007/978-3-031-70819-0_3ISI: 001331826200003Scopus ID: 2-s2.0-85204634679ISBN: 9783031708183 (print)OAI: oai:DiVA.org:bth-26979DiVA, id: diva2:1903420
Conference
16th International Conference on Computational Collective Intelligence, ICCCI 2024, Leipzig, Sep 9–11, 2024
Available from: 2024-10-04 Created: 2024-10-04 Last updated: 2025-09-30Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records

Wnuk, KrzysztofMadeyski, LechAbdeen, Waleed

Search in DiVA

By author/editor
Wnuk, KrzysztofMadeyski, LechAbdeen, Waleed
By organisation
Department of Software Engineering
Software Engineering

Search outside of DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 118 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf