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
Survey Guidelines in Software Engineering: An Annotated Review
Blekinge Institute of Technology, Faculty of Computing, Department of Software Engineering.ORCID iD: 0000-0001-5629-5256
Blekinge Institute of Technology, Faculty of Computing, Department of Software Engineering.ORCID iD: 0000-0002-1532-8223
Blekinge Institute of Technology, Faculty of Computing, Department of Software Engineering. Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science.ORCID iD: 0000-0003-0449-5322
2016 (English)In: ESEM'16: PROCEEDINGS OF THE 10TH ACM/IEEE INTERNATIONAL SYMPOSIUM ON EMPIRICAL SOFTWARE ENGINEERING AND MEASUREMENT, ASSOC COMPUTING MACHINERY , 2016Conference paper, Published paper (Refereed)
Abstract [en]

Background: Survey is a method of research aiming to gather data from a large population of interest. Despite being extensively used in software engineering, survey-based research faces several challenges, such as selecting a representative population sample and designing the data collection instruments. Objective: This article aims to summarize the existing guidelines, supporting instruments and recommendations on how to conduct and evaluate survey-based research. Methods: A systematic search using manual search and snowballing techniques were used to identify primary studies supporting survey research in software engineering. We used an annotated review to present the findings, describing the references of interest in the research topic. Results: The summary provides a description of 15 available articles addressing the survey methodology, based upon which we derived a set of recommendations on how to conduct survey research, and their impact in the community. Conclusion: Survey-based research in software engineering has its particular challenges, as illustrated by several articles in this review. The annotated review can contribute by raising awareness of such challenges and present the proper recommendations to overcome them.

Place, publisher, year, edition, pages
ASSOC COMPUTING MACHINERY , 2016.
Keywords [en]
Survey, guidelines, annotated review
National Category
Software Engineering
Identifiers
URN: urn:nbn:se:bth-20906DOI: 10.1145/2961111.2962619ISI: 000578277800058OAI: oai:DiVA.org:bth-20906DiVA, id: diva2:1517008
Conference
10th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM), Ciudad Real, SPAIN Date: SEP 08-09, 2016-2019
Available from: 2021-01-13 Created: 2021-01-13 Last updated: 2023-12-04Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full text

Authority records

Petersen, KaiMendes, Emilia

Search in DiVA

By author/editor
Molleri, JeffersonPetersen, KaiMendes, Emilia
By organisation
Department of Software EngineeringDepartment of Computer Science
Software Engineering

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 127 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