On the complexity of design in imaging software

Magnus E. Larsson, Phillip A. Laplante

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Scopus citations

Abstract

Recent evidence raised the possibility that algorithm rich software, such as in imaging processing, is more complex than other kinds (Sangwan, 2005). To further investigate this contention a set of complexity metrics were computed for two sets of open source Java software systems. The results suggest that there is little or no difference in software complexity between an imaging application, and "conventional" software, such as a simple database querying system. The tests suggest that the overall complexity of the system depends more on the software design knowledge of the engineers than the kind of system that is constructed.

Original languageEnglish (US)
Title of host publicationProceedings - 11th IEEE International Conference on Engineering of Complex Computer Systems, ICECCS 2006
Pages37-43
Number of pages7
StatePublished - Dec 1 2006
Event11th IEEE International Conference on Engineering of Complex Computer Systems, ICECCS 2006 - Stanford, CA, United States
Duration: Aug 15 2006Aug 17 2006

Publication series

NameProceedings of the IEEE International Conference on Engineering of Complex Computer Systems, ICECCS

Other

Other11th IEEE International Conference on Engineering of Complex Computer Systems, ICECCS 2006
CountryUnited States
CityStanford, CA
Period8/15/068/17/06

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All Science Journal Classification (ASJC) codes

  • Hardware and Architecture
  • Computer Networks and Communications

Cite this

Larsson, M. E., & Laplante, P. A. (2006). On the complexity of design in imaging software. In Proceedings - 11th IEEE International Conference on Engineering of Complex Computer Systems, ICECCS 2006 (pp. 37-43). [1690353] (Proceedings of the IEEE International Conference on Engineering of Complex Computer Systems, ICECCS).