Computer Science ›› 2010, Vol. 37 ›› Issue (4): 117-.
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DING Jian-jie,HAO Ke-gang,HOU Hong,GUO Xiao-qun
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Abstract: The complexity of software process leads to that risk data is uncertain and rough. Based on the rough set theory,this paper analyzed history data of software risk management. Using concept of ectuivalence class and discernible matrix, put forward risk factors of correlation analysis system, and defined calculate formula of dependence coefficient and risk factor discernible matrix. I}he work provides policy to risk control and help organization to find their shortcomings in risk management and improve their process.
Key words: Software risk,Risk management,Rough set,Ecauivalence class,Discernible matrix
DING Jian-jie,HAO Ke-gang,HOU Hong,GUO Xiao-qun. Research of Software Project Risk Management Based on Rough Set Theory[J].Computer Science, 2010, 37(4): 117-.
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