Volltext-Downloads (blau) und Frontdoor-Views (grau)

Developers talking about code quality

  • There are many aspects of code quality, some of which are difficult to capture or to measure. Despite the importance of software quality, there is a lack of commonly accepted measures or indicators for code quality that can be linked to quality attributes. We investigate software developers’ perceptions of source code quality and the practices they recommend to achieve these qualities. We analyze data from semi-structured interviews with 34 professional software developers, programming teachers and students from Europe and the U.S. For the interviews, participants were asked to bring code examples to exemplify what they consider good and bad code, respectively. Readability and structure were used most commonly as defining properties for quality code. Together with documentation, they were also suggested as the most common target properties for quality improvement. When discussing actual code, developers focused on structure, comprehensibility and readability as quality properties. When analyzing relationships between properties, the most commonly talked about target property was comprehensibility. Documentation, structure and readability were named most frequently as source properties to achieve good comprehensibility. Some of the most important source code properties contributing to code quality as perceived by developers lack clear definitions and are difficult to capture. More research is therefore necessary to measure the structure, comprehensibility and readability of code in ways that matter for developers and to relate these measures of code structure, comprehensibility and readability to common software quality attributes.

Download full text files

Export metadata

Additional Services

Search Google Scholar


Author:Jürgen BörstlerORCiD, Kwabena E. Bennin, Sara Hooshangi, Johan Jeuring, Hieke Keuning, Carsten KleinerORCiDGND, Bonnie MacKellar, Rodrigo Duran, Harald Störrle, Daniel Toll, Jelle van Assema
DOI original:https://doi.org/10.1007/s10664-023-10381-0
Parent Title (English):Empirical Software Engineering
Document Type:Article
Year of Completion:2023
Publishing Institution:Hochschule Hannover
Release Date:2023/10/11
Tag:Code quality; Quality perception; Semi-structured interviews; Software development; Source code properties
GND Keyword:Software Engineering; Quellcode; Qualität; Zentriertes Interview
Article Number:128
Page Number:31
Link to catalogue:1885375735
Institutes:Fakultät IV - Wirtschaft und Informatik
DDC classes:004 Informatik
Licence (German):License LogoCreative Commons - CC BY - Namensnennung 4.0 International