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
A general theory of software engineering: Balancing human, social and organizational capitals
Blekinge Institute of Technology, Faculty of Computing, Department of Software Engineering.ORCID iD: 0000-0003-0460-5253
Blekinge Institute of Technology, Faculty of Computing, Department of Software Engineering.ORCID iD: 0000-0003-1744-3118
2015 (English)In: Journal of Systems and Software, ISSN 0164-1212, E-ISSN 1873-1228, Vol. 109, p. 229-242Article in journal (Refereed) Published
Abstract [en]

There exists no generally accepted theory in software engineering, and at the same time a scientific discipline needs theories. Some laws, hypotheses and conjectures exist, but yet no generally accepted theory. Several researchers and initiatives emphasize the need for theory in the discipline. The objective of this paper is to formulate a theory of software engineering. The theory is generated from empirical observations of industry practice, including several case studies and many years of experience in working closely between academia and industry. The theory captures the balancing of three different intellectual capitals: human, social and organizational capitals, respectively. The theory is formulated using a method for building theories in software engineering. It results in a theory where the relationships between the three different intellectual capitals are explored and explained. The theory is illustrated based on an industrial case study, where it is shown how decisions made in industry practice are explainable with the formulated theory, and the consequences of the decisions are made explicit. Based on the positive results, it is concluded that the theory may have a good explanatory power, although more evaluations are needed. ©2015TheAuthors.PublishedbyElsevierInc.ThisisanopenaccessarticleundertheCCBY-NC-NDlicense.

Place, publisher, year, edition, pages
2015. Vol. 109, p. 229-242
Keywords [en]
Industrial management; Information management; Knowledge management, Empirical; Explanatory power; General theory; Industrial case study; Industry practices; Intellectual capital; Scientific discipline; Software engineering theories, Software engineering
National Category
Software Engineering
Identifiers
URN: urn:nbn:se:bth-11017DOI: 10.1016/j.jss.2015.08.009ISI: 000362137700017Scopus ID: 2-s2.0-84941274078OAI: oai:DiVA.org:bth-11017DiVA, id: diva2:873586
Available from: 2015-11-24 Created: 2015-11-24 Last updated: 2021-04-27Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records

Wohlin, ClaesŠmite, Darja

Search in DiVA

By author/editor
Wohlin, ClaesŠmite, Darja
By organisation
Department of Software Engineering
In the same journal
Journal of Systems and Software
Software Engineering

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 228 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