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
Towards evidence-based decision-making for identification and usage of assets in composite software: A research roadmap
Blekinge Institute of Technology, Sweden.
RISE Research Institutes of Sweden, Digital Systems, Mobility and Systems.ORCID iD: 0000-0002-5157-8131
Mälardalen University, Sweden.
Blekinge Institute of Technology, Sweden; University of Applied Sciences Flensburg, Germany.
Show others and affiliations
2021 (English)In: Journal of Software: Evolution and Process, ISSN 2047-7473, E-ISSN 2047-7481, Vol. 33, no 6, article id e2345Article in journal (Refereed) Published
Abstract [en]

Software engineering is decision intensive. Evidence-based software engineering is suggested for decision-making concerning the use of methods and technologies when developing software. Software development often includes the reuse of software assets, for example, open-source components. Which components to use have implications on the quality of the software (e.g., maintainability). Thus, research is needed to support decision-making for composite software. This paper presents a roadmap for research required to support evidence-based decision-making for choosing and integrating assets in composite software systems. The roadmap is developed as an output from a 5-year project in the area, including researchers from three different organizations. The roadmap is developed in an iterative process and is based on (1) systematic literature reviews of the area; (2) investigations of the state of practice, including a case survey and a survey; and (3) development and evaluation of solutions for asset identification and selection. The research activities resulted in identifying 11 areas in need of research. The areas are grouped into two categories: areas enabling evidence-based decision-making and those related to supporting the decision-making. The roadmap outlines research needs in these 11 areas. The research challenges and research directions presented in this roadmap are key areas for further research to support evidence-based decision-making for composite software. © 2021 The Authors.

Place, publisher, year, edition, pages
John Wiley and Sons Ltd , 2021. Vol. 33, no 6, article id e2345
Keywords [en]
asset origins, component-based software engineering (CBSE), decision-making, evidence-based software engineering, software architecture, Computer software reusability, Iterative methods, Open source software, Open systems, Software design, Surveys, Asset identification, Evidence Based Software Engineering, Evidence- based decisions, Iterative process, Open-source components, Research activities, Research challenges, Systematic literature review, Decision making
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:ri:diva-52917DOI: 10.1002/smr.2345Scopus ID: 2-s2.0-85102713035OAI: oai:DiVA.org:ri-52917DiVA, id: diva2:1543012
Available from: 2021-04-09 Created: 2021-04-09 Last updated: 2023-05-22Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records

Papatheocharous, EfiAxelsson, JakobBorg, MarkusOlsson, Thomas

Search in DiVA

By author/editor
Papatheocharous, EfiAxelsson, JakobBorg, MarkusOlsson, Thomas
By organisation
Mobility and Systems
In the same journal
Journal of Software: Evolution and Process
Computer and Information Sciences

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 17 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