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
Y1 - 2008
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.
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U2 - 10.3233/978-1-58603-900-4-22
DO - 10.3233/978-1-58603-900-4-22
M3 - Conference contribution
AN - SCOPUS:84875919291
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 -