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

Publication series

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

Fingerprint

Embedded systems
Embedded software
Information use
Industry
Engineers

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence

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

A conceptual model for analysis method of extracting unexpected obstacles of embedded systems. / Katamine, Keiichi; Shinyashiki, Yasufumi; Mise, Toshiro; Hashimoto, Masaaki; Ubayashi, Naoyasu; Nakatani, Takako.

Knowledge-Based Software Engineering. Proceedings of the Eighth Joint Conference on Knowledge-Based Software Engineering. 1. ed. IOS Press, 2008. p. 22-31 (Frontiers in Artificial Intelligence and Applications; Vol. 180, No. 1).

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

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 edn, Frontiers in Artificial Intelligence and Applications, no. 1, vol. 180, IOS Press, pp. 22-31. https://doi.org/10.3233/978-1-58603-900-4-22
Katamine K, Shinyashiki Y, Mise T, Hashimoto M, Ubayashi N, Nakatani T. 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. IOS Press. 2008. p. 22-31. (Frontiers in Artificial Intelligence and Applications; 1). https://doi.org/10.3233/978-1-58603-900-4-22
Katamine, Keiichi ; Shinyashiki, Yasufumi ; Mise, Toshiro ; Hashimoto, Masaaki ; Ubayashi, Naoyasu ; Nakatani, Takako. / A conceptual model for analysis method of extracting unexpected obstacles of embedded systems. Knowledge-Based Software Engineering. Proceedings of the Eighth Joint Conference on Knowledge-Based Software Engineering. 1. ed. IOS Press, 2008. pp. 22-31 (Frontiers in Artificial Intelligence and Applications; 1).
@inproceedings{3bb34a26605740998396e88535a0f21e,
title = "A conceptual model for analysis method of extracting unexpected obstacles of embedded systems",
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.",
author = "Keiichi Katamine and Yasufumi Shinyashiki and Toshiro Mise and Masaaki Hashimoto and Naoyasu Ubayashi and Takako Nakatani",
year = "2008",
month = "1",
day = "1",
doi = "10.3233/978-1-58603-900-4-22",
language = "English",
isbn = "9781586039004",
series = "Frontiers in Artificial Intelligence and Applications",
publisher = "IOS Press",
number = "1",
pages = "22--31",
booktitle = "Knowledge-Based Software Engineering. Proceedings of the Eighth Joint Conference on Knowledge-Based Software Engineering",
address = "Netherlands",
edition = "1",

}

TY - GEN

T1 - A conceptual model for analysis method of extracting unexpected obstacles of embedded systems

AU - Katamine, Keiichi

AU - Shinyashiki, Yasufumi

AU - Mise, Toshiro

AU - Hashimoto, Masaaki

AU - Ubayashi, Naoyasu

AU - Nakatani, Takako

PY - 2008/1/1

Y1 - 2008/1/1

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=84875919291&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84875919291&partnerID=8YFLogxK

U2 - 10.3233/978-1-58603-900-4-22

DO - 10.3233/978-1-58603-900-4-22

M3 - Conference contribution

SN - 9781586039004

T3 - Frontiers in Artificial Intelligence and Applications

SP - 22

EP - 31

BT - Knowledge-Based Software Engineering. Proceedings of the Eighth Joint Conference on Knowledge-Based Software Engineering

PB - IOS Press

ER -