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I know it when I see it: Perceptions of Code Quality ITiCSE'17 Working Group Report
Blekinge Tekniska Högskola, Fakulteten för datavetenskaper, Institutionen för programvaruteknik. (SERL-Sweden)ORCID-id: 0000-0003-0639-4234
QAware GmbH, DEU.
Linné University, SWE.
University of Amsterdam, NLD.
Vise andre og tillknytning
2017 (engelsk)Inngår i: ITICSE-WGR'17: PROCEEDINGS OF THE 2017 ITICSE CONFERENCE WORKING GROUP REPORTS, ACM Digital Library, 2017, s. 70-85Konferansepaper, Publicerat paper (Fagfellevurdert)
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.

sted, utgiver, år, opplag, sider
ACM Digital Library, 2017. s. 70-85
HSV kategori
Identifikatorer
URN: urn:nbn:se:bth-15766DOI: 10.1145/3059009.3081328ISI: 000455771300004ISBN: 978-1-4503-4704-4 (tryckt)OAI: oai:DiVA.org:bth-15766DiVA, id: diva2:1174946
Konferanse
ACM Conference on Innovation and Technology in Computer Science Education, Bologna, JUL 03-05
Tilgjengelig fra: 2018-01-17 Laget: 2018-01-17 Sist oppdatert: 2019-06-27bibliografisk kontrollert

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