A conceptual model for analysis method of extracting unexpected obstacles of embedded systems

Keiichi Katamine, Yasufumi Shinyashiki, Toshiro Mise, Masaaki Hashimoto, Naoyasu Ubayashi, Takako Nakatani

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

Abstract

This paper proposes a conceptual model for analysis method of extracting unexpected obstacles in order to improve the quality of embedded systems. Although embedded software has become increasingly large in scale and complexity, companies are requiring the software to be developed with in shorter periods of time. This trend in the industry has resulted in the oversight of unexpected obstacles and consequently has affected the quality of embedded software. In order to prevent the oversight of unexpected obstacles, we have already proposed two methods for requirements analysis: the Embedded Systems Improving Method (ESIM) using an Analysis Matrix, and a method that uses an Information Flow Diagram (IFD). However, these analysis methods have been developed separately. This paper proposes the conceptual model including both methods, and clarifies abstraction mechanisms of expert engineers for extracting unexpected obstacles of embedded systems. It also describes a case study and discussion of the domain model.

Original languageEnglish
Title of host publicationKnowledge-Based Software Engineering. Proceedings of the Eighth Joint Conference on Knowledge-Based Software Engineering
PublisherIOS Press
Pages22-31
Number of pages10
Edition1
ISBN (Print)9781586039004
DOIs
Publication statusPublished - Jan 1 2008
Externally publishedYes

Publication series

NameFrontiers in Artificial Intelligence and Applications
Number1
Volume180
ISSN (Print)0922-6389

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence

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  • Cite this

    Katamine, K., Shinyashiki, Y., Mise, T., Hashimoto, M., Ubayashi, N., & Nakatani, T. (2008). A conceptual model for analysis method of extracting unexpected obstacles of embedded systems. In Knowledge-Based Software Engineering. Proceedings of the Eighth Joint Conference on Knowledge-Based Software Engineering (1 ed., pp. 22-31). (Frontiers in Artificial Intelligence and Applications; Vol. 180, No. 1). IOS Press. https://doi.org/10.3233/978-1-58603-900-4-22