The Value of Software Documentation Quality

Activity: Talk or presentationContributed talkscience-to-science

Description

This paper presents the results of a study on software documentation quality in practice. Goal of this study is identifying the current state of software documentation quality and used analysis techniques for determining software documentation quality. Moreover, we aim at finding out, whether there is a demand for a tool-based software documentation quality analysis approach. This approach consists of a documentation quality model and a document checking tool, as proposed in previous work. We developed an online survey and asked about 300 experts to answer it. The survey was completed by 88 experts and the overall results confirm the importance of software documentation quality as well as the need for better tool support. The survey shows that the most important quality attributes with regard to documentation quality are accuracy, clarity, consistency, readability, structuredness, and understandability. Most of these quality attributes are currently covered by our software documentation quality analysis approach; some of them (e.g., accuracy, structuredness) still need more attention, i.e. better support in our quality model and tool.
Period02 Oct 2014
Event title14th International Conference on Quality Software, Dallas, USA, October 2-3, 2014
Event typeConference
LocationUnited StatesShow on map

Fields of science

  • 202017 Embedded systems
  • 102006 Computer supported cooperative work (CSCW)
  • 202005 Computer architecture
  • 102027 Web engineering
  • 102 Computer Sciences
  • 202022 Information technology
  • 502032 Quality management
  • 502050 Business informatics
  • 207409 Navigation systems
  • 102020 Medical informatics
  • 102011 Formal languages
  • 102022 Software development
  • 102002 Augmented reality
  • 201305 Traffic engineering
  • 102015 Information systems
  • 102040 Quantum computing 
  • 509026 Digitalisation research
  • 211928 Systems engineering
  • 102034 Cyber-physical systems
  • 102016 IT security
  • 503015 Subject didactics of technical sciences

JKU Focus areas

  • Management and Innovation
  • Computation in Informatics and Mathematics
  • Digital Transformation