Maturity assessment model for aircraft collaborative design software solution

doi:10.21629/JSEE.2018.06.10

Journal of Systems Engineering and Electronics ›› 2018, Vol. 29 ›› Issue (6): 1228-1236.doi: 10.21629/JSEE.2018.06.10

• Systems Engineering • Previous Articles Next Articles

Maturity assessment model for aircraft collaborative design software solution

Ying HUO*(), Peng QIU(), Jiyou ZHAI()

School of Computer Engineering, Nanjing Institute of Technology, Nanjing 211167, China

Received:2017-10-11 Online:2018-12-25 Published:2018-12-26
Contact: Ying HUO E-mail:huoy@njit.edu.cn;qiup@njit.edu.cn;zhaijiyou@njit.edu.cn
About author:HUO Ying was born in 1988. She received her Ph.D. degree from College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics in 2016. Now she is a lecturer of the School of Computer Engineering at Nanjing Institute of Technology. Her research interests include fuzzy evaluation and intelligent computing. E-mail: huoy@njit.edu.cn|QIU Peng was born in 1983. He received his M.S. degree from Department of Electronic Engineering at Chonbuk National University, Chonju, Repuplic of Korea in 2010. Now he is an experimentalist of the School of Computer Engineering at Nanjing Institute of Technology. His research interests include wireless sensor networks and deep learning. E-mail: qiup@njit.edu.cn|ZHAI Jiyou was born in 1978. He received his Ph. D. degree from the College of Computer and Information at Hohai University in 2018. He is an associate researcher of the Department of Computer Engineering at Nanjing Institute of Technology. His research interests include intelligent computing and image processing. E-mail: zhaijiyou@njit.edu.cn
Supported by:
the National Natural Science Foundation for Youth of China(61802174);the Natural Science Foundation for Youth of Jiangsu Province(BK20181016);the Natural Science Foundation of the Jiangsu Higher Education Institutions of China(18KJB520019);the Scientific Research Foundation of Nanjing Institute of Technology of China(YKJ201614);This work was supported by the National Natural Science Foundation for Youth of China (61802174), the Natural Science Foundation for Youth of Jiangsu Province (BK20181016), the Natural Science Foundation of the Jiangsu Higher Education Institutions of China (18KJB520019), and the Scientific Research Foundation of Nanjing Institute of Technology of China (YKJ201614)

Abstract

Abstract:

In order to assure quality and control process in the development of the aircraft collaborative design software, a maturity assessment model is proposed. The requirements designing— house of quality is designed to evaluate the maturity degree of the solution, and the evaluation results can help to manage and control the development process. Furthermore, a fuzzy evaluation method based on the minimum deviation is proposed to deal with the fuzzy information. The quantitative evaluation result of the maturity degree can be calculated by optimizing the semantic discount factor aim for the minimum deviation. Finally, this model is illustrated and analyzed by an example study of the aircraft collaborative design software.

Key words: aircraft collaborative design, software development process, quality function deployment, fuzzy evaluation method

Ying HUO, Peng QIU, Jiyou ZHAI. Maturity assessment model for aircraft collaborative design software solution[J]. Journal of Systems Engineering and Electronics, 2018, 29(6): 1228-1236.

Figures/Tables 7

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References 27

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Requirement	Designing
Requirement	D₁	D₂	\[\cdots \]	D_N
R₁	—	—	\[\cdots \]	—
R₂	—	—	\[\cdots \]	—
\[\vdots \]	\[\cdots \]	\[\cdots \]	\[\ddots \]	\[\cdots \]
R_M	—	—	\[\cdots \]	—

Requirement		Designing
Requirement		Software architecture	Tools integration	Monitoring task	Backup & recovery	Fault-tolerant	Access control	Encryption/ decryption	Parallel processing	Program optimization	\[\cdots \]
	LAN collaborative	(2-3, 1)	–	–	-	-	(3, 0.6)	-	–	–	\[\cdots \]
Design	Graphical display		(4-5, 0.8)	-	-	-	-	-	-	-	\[\cdots \]
features	Intensive computing	–	–	(2-3, 1)	-	(3, 1)	-	-	(4-5, 1)	(4, 0.8)	\[\cdots \]
	Model integration	(4, 0.6)	(4-5, 1)	-	-	-	-	-	-	-	\[\cdots \]
\[\vdots \]	\[\cdots \]	\[\cdots \]	\[\cdots \]	\[\cdots \]	\[\cdots \]	\[\cdots \]	\[\cdots \]	\[\cdots \]	\[\cdots \]	\[\cdots \]	\[\cdots \]
	Scalability	(4-5, 1)	(3, 0.8)	-	-	-	-	-	(4-5, 0.6)	-	\[\cdots \]
Software	Reliability	(4, 0.6)	-	(4, 1)	(5, 1)	(5, 1)	-	-	-	(1, 1)	\[\cdots \]
quality	Security	(4, 0.2)	-	(3-4, 0.6)	(3-4, 1)	-	(4-5, 1)	(4-5, 1)	-	-	\[\cdots \]
	\[\cdots \]	-	-	-	-	-	-	-	-	-	\[\cdots \]

R_i	Assessment level
R_i	1	2	2-3	3	3-4	4	4-5	5	H
R₁	-	-	0.5	0.3	-	-	-	-	0.2
R₂	-	-	-	-	-	-	0.8	-	0.2
R₃	-	-	0.25	0.25	-	0.2	0.25	-	0.05
R₄	-	-	-	-	-	0.3	0.5	-	0.2
R₅	-	-	-	0.27	-	-	0.53	-	0.2
R₆	0.2	-	-	-	-	0.32	-	0.4	0.08
R₇	-	-	-	-	0.32	0.04	0.4	-	0.24

EDG_j	D₁	D₂	D₃	D₄	D₅	D₆	D₇	D₈	D₉
EDG_{j_l}	0.224	0.162	0.264	0.5	0.8	0	0.18	0	0.42
EDG_{j_h}	1.744	1.632	1.294	1.2	0.8	1.8	1.68	2.04	0.72

[1]	Fang Wang, Hua Li, Aijun Liu, and Xiao Zhang. Hybrid customer requirements rating method for customer-oriented product design using QFD [J]. Systems Engineering and Electronics, 2015, 26(3): 533-543.
[2]	Li Zhaoling, Gao Qisheng & Zhang Dongling. Product design on the basis of fuzzy quality function deployment [J]. Journal of Systems Engineering and Electronics, 2008, 19(6): 1165-1170.

Maturity assessment model for aircraft collaborative design software solution

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