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Analysis and Visualization of Information Quality of Technical Documentation
Linnéuniversitetet, Fakultetsnämnden för naturvetenskap och teknik, Institutionen för datavetenskap, fysik och matematik, DFM. (Software Technology Group)ORCID-id: 0000-0002-0835-823X
Linnéuniversitetet, Fakultetsnämnden för naturvetenskap och teknik, Institutionen för datavetenskap, fysik och matematik, DFM. (Software Technology Group)ORCID-id: 0000-0002-7565-3714
Uppsala University, Department of IT. (UPMARC)ORCID-id: 0000-0003-1173-5187
Linnéuniversitetet, Fakultetsnämnden för naturvetenskap och teknik, Institutionen för datavetenskap, fysik och matematik, DFM. (Software Technology Group)
2010 (engelsk)Inngår i: Proceedings of the 4th European Conference on Information Management and Evaluation / [ed] Castro Neto, M, Academic Publishing International, 2010, s. 388-396Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

Technical documentation has moved from printed booklets to online versions that need to be updated continuously to match product development and user demands. There is an imminent need to ensure the quality of technical documentation, i.e. information that follows a product.

Moving from printed material to online versions also allows for documentation to become active, to integrate interactive content, which blurs the boundaries between information and software. In order to assess quality of technical documentation, we adopt analyses and visualizations known from quality assessment of software. The analyses assess text copies, usage, structural properties, and the conformance of information to meta-information. The analysis results are visualized using a range of abstractions to aid in identifying and communicating quality issues to different stakeholders.

In a case study, we assessed the quality of real world technical documentations from a Swedish mobile phone vendor, a Japanese camera vendor, and a Swedish warship producer. The study showed that our analyses and visualization are applicable and can identify quality issues. For example, we tested an unclassified subset of the warship’s technical documentation and found that 49% of it was redundant information.

The case study was conducted at a Swedish company that is in charge of creating and maintaining technical documentation. While our approach is limited to analysis that can be performed automatically, the company acknowledges that it has great potential and that our results proved helpful.

sted, utgiver, år, opplag, sider
Academic Publishing International, 2010. s. 388-396
Emneord [en]
: Information Quality, Software Analysis, Software Visualization, Technical Documentation
HSV kategori
Forskningsprogram
Data- och informationsvetenskap, Datavetenskap
Identifikatorer
URN: urn:nbn:se:lnu:diva-6949ISBN: 978-1-906638-72-6 (tryckt)OAI: oai:DiVA.org:lnu-6949DiVA, id: diva2:332254
Konferanse
4th European Conference on Information Management and Evaluation, Lisbon, Sep. 9-10, 2010
Tilgjengelig fra: 2010-08-03 Laget: 2010-08-03 Sist oppdatert: 2018-01-12bibliografisk kontrollert

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