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
“I know it when I see it”: Perceptions of Code Quality
Blekinge Institute of Technology, Faculty of Computing, Department of Software Engineering. (SERL-Sweden)ORCID iD: 0000-0003-0639-4234
QAware GmbH, DEU.
Linné University, SWE.
University of Amsterdam, NLD.
Show others and affiliations
2017 (English)In: ITiCSE '17 Proceedings of the 2017 ACM Conference on Innovation and Technology in Computer Science Education, ACM Digital Library, 2017, p. 389-399Conference paper, Published paper (Refereed)
Abstract [en]

Context. Code quality is a key issue in software development. The ability to develop high quality software is therefore a key learning goal of computing programs. However, there are no universally accepted measures to assess the quality of code and current standards are considered weak. Furthermore, there are many facets to code quality. Defining and explaining the concept of code quality is therefore a challenge faced by many educators.

Objectives. In this working group, we investigated code quality as perceived by students, educators, and professional developers, in particular, the differences in their views of code quality and which quality aspects they consider as more or less important. Furthermore, we investigated their sources for information about code quality and its assessment.

Methods. We interviewed 34 students, educators and professional developers regarding their perceptions of code quality. For the interviews they brought along code from their own experience to discuss and exemplify code quality.

Results. There was no common definition of code quality among or within these groups. Quality was mostly described in terms of indicators that could measure an aspect of code quality. Among these indicators, readability was named most frequently by all groups. The groups showed significant differences in the sources they use for learning about code quality with education ranked lowest in all groups.

Conclusions. Code quality should be discussed more thoroughly in educational programs.

Place, publisher, year, edition, pages
ACM Digital Library, 2017. p. 389-399
National Category
Software Engineering
Identifiers
URN: urn:nbn:se:bth-15766DOI: 10.1145/3059009.3081328ISBN: 978-1-4503-4704-4 OAI: oai:DiVA.org:bth-15766DiVA, id: diva2:1174946
Conference
ACM Conference on Innovation and Technology in Computer Science Education, Bologna
Available from: 2018-01-17 Created: 2018-01-17 Last updated: 2018-01-19Bibliographically approved

Open Access in DiVA

ITiCSE17_WG-report(1125 kB)52 downloads
File information
File name FULLTEXT01.pdfFile size 1125 kBChecksum SHA-512
08dca7f5d7a345081eaf7f29d08e92c5267a883ec6bf0d67dfa8e36c5acd50fdf0ff61c608551d6203ea409a6bb39af239c700a5683c19ee3b76b38059dc6c17
Type fulltextMimetype application/pdf

Other links

Publisher's full text

Search in DiVA

By author/editor
Börstler, Jürgen
By organisation
Department of Software Engineering
Software Engineering

Search outside of DiVA

GoogleGoogle Scholar
Total: 52 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 46 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
v. 2.34-SNAPSHOT
|