DocumentCode
2149709
Title
Fuzzy Synthesis-Decision Model of Software Optimum Design
Author
Wan, Yi ; Lei Xiao ; Chengwen Wu
Author_Institution
Coll. of Phys. & Electron. Inf. Eng., Wenzhou Univ., Wenzhou, China
fYear
2009
fDate
17-19 Oct. 2009
Firstpage
1
Lastpage
4
Abstract
Software reliability allocation method of the optimization decision making based on fuzzy synthesis evaluation is presented aiming at the disadvantage of the other software reliability allocation method. By analyzing the influential factors of reliability allocation, appointed reliability index of software system is distributed rationally to module by establishing factor collection of reliability level and the weight of factor and further synthesis decision-making based on attachment degree of every factor. Both reliability of whole system are ensured and production cost and exploitation period are reduced. The model is simulated and calculated by the example of numerical control system software reliability, decision-making shows reliability of position control and real-time management module is the biggest, secondly PLC module, initialization preprocessing module, coding show module respectively. It provides a feasible method for software system reliability optimum design.
Keywords
decision making; decision theory; fuzzy set theory; software reliability; PLC module; attachment degree; exploitation period; fuzzy synthesis-decision model; influential factor analysis; initialization preprocessing module; numerical control system; optimization decision making; position control; production cost; real-time management module; software optimum design; software reliability allocation method; Computer numerical control; Control system synthesis; Costs; Decision making; Optimization methods; Production systems; Software design; Software reliability; Software systems; System software;
fLanguage
English
Publisher
ieee
Conference_Titel
Image and Signal Processing, 2009. CISP '09. 2nd International Congress on
Conference_Location
Tianjin
Print_ISBN
978-1-4244-4129-7
Electronic_ISBN
978-1-4244-4131-0
Type
conf
DOI
10.1109/CISP.2009.5303887
Filename
5303887
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