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
Using Bayesian Network to Estimate the Value of Decisions within the Context of Value-Based Software Engineering: A Multiple Case Study
Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science.ORCID iD: 0000-0003-0449-5322
Oulu University, FIN.
Universidade Federal de Campina Grande, BRA.
Universidade Federal de Campina Grande, BRA.
Show others and affiliations
2019 (English)In: International journal of software engineering and knowledge engineering, ISSN 0218-1940, Vol. 29, no 11-12, p. 1629-1671Article in journal (Refereed) Published
Abstract [en]

Companies must make a paradigm shift in which both short- and long-term value aspects are employed to guide their decision-making. Such need is pressing in innovative industries, such as ICT, and is the core of Value-based Software Engineering (VBSE). Objective: This paper details three case studies where value estimation models using Bayesian Network (BN) were built and validated. These estimation models were based upon value-based decisions made by key stakeholders in the contexts of feature selection, test cases execution prioritization, and user interfaces design selection. Methods: All three case studies were carried out according to a Framework called VALUE - improVing decision-mAking reLating to software-intensive prodUcts and sErvices development. This framework includes a mixed-methods approach, comprising several steps to build and validate company-specific value estimation models. Such a building process uses as input data key stakeholders' decisions (gathered using the Value tool), plus additional input from key stakeholders. Results: Three value estimation BN models were built and validated, and the feedback received from the participating stakeholders was very positive. Conclusions: We detail the building and validation of three value estimation BN models, using a combination of data from past decision-making meetings and also input from key stakeholders. © 2019 World Scientific Publishing Company.

Place, publisher, year, edition, pages
World Scientific Publishing Co. Pte Ltd , 2019. Vol. 29, no 11-12, p. 1629-1671
Keywords [en]
Bayesian network, software product and project management, value estimation, Value-based decision-making, value-based software engineering, Bayesian networks, Project management, Software engineering, User interfaces, Design selections, Estimation models, Multiple-case study, Products and services, Software products, Value based software engineering, Value-based, Decision making
National Category
Software Engineering
Identifiers
URN: urn:nbn:se:bth-19272DOI: 10.1142/S0218194019400151ISI: 000514147300003Scopus ID: 2-s2.0-85079341639OAI: oai:DiVA.org:bth-19272DiVA, id: diva2:1412126
Available from: 2020-03-05 Created: 2020-03-05 Last updated: 2023-12-04Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records

Mendes, Emilia

Search in DiVA

By author/editor
Mendes, Emilia
By organisation
Department of Computer Science
In the same journal
International journal of software engineering and knowledge engineering
Software Engineering

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 43 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