mdh.sePublications
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
System-specific static code analyses: a case study in the complex embedded systems domain
Mälardalen University, School of Innovation, Design and Engineering.
Mälardalen University, School of Innovation, Design and Engineering.
Mälardalen University, School of Innovation, Design and Engineering.ORCID iD: 0000-0001-6132-7945
2012 (English)In: Software quality journal, ISSN 0963-9314, E-ISSN 1573-1367, Vol. 20, no 2, 337-367 p.Article in journal (Refereed) Published
Abstract [en]

In this paper, we are exploring the approach to utilize system-specific static analyses of code with the goal to improve software quality forspecific software systems. Specialized analyses, tailored for a particular system, make it possible to take advantage of system/domainknowledge that is not available to more generic analyses. Furthermore, analyses can be selected and/or developed in order to best meet the challenges and specific issues of the system at hand. As a result, such analyses can be used as a complement to more generic code analysistools because they are likely to have a better impact on (business) concerns such as improving certain software quality attributes and reducing certain classes of failures. We present a case study of a large, industrial embedded system, giving examples of what kinds of analyses could be realized and demonstrate the feasibility of implementing such analyses. We synthesize lessons learned based on our case study and provide recommendations on how to realize system-specific analyses and how to get them adopted by industry.

Place, publisher, year, edition, pages
2012. Vol. 20, no 2, 337-367 p.
National Category
Computer and Information Science
Identifiers
URN: urn:nbn:se:mdh:diva-13681DOI: 10.1007/s11219-011-9138-7ISI: 000303507800005Scopus ID: 2-s2.0-84860474528OAI: oai:DiVA.org:mdh-13681DiVA: diva2:466227
Available from: 2011-12-15 Created: 2011-12-15 Last updated: 2013-12-03Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full textScopus

Search in DiVA

By author/editor
Kienle, HolgerKraft, JohanNolte, Thomas
By organisation
School of Innovation, Design and Engineering
In the same journal
Software quality journal
Computer and Information Science

Search outside of DiVA

GoogleGoogle Scholar

Altmetric score

Total: 24 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