sjm 发表于 2013-4-23 15:22:42

汇编语言实验7,我写了连接可以,可是单步运行时他说出发溢出,我错在哪里?

assume cs:codesg,ds:data,es:table
data segment
   db '1975','1976','1977','1978','1979','1980','1981','1982','1983'
   db '1984','1985','1986','1987','1988','1989','1990','1991','1992'
   db '1993','1994','1995'
   ;以上是表示21年的21个字符串
   dd 16,22,382,1356,2390,8000,16000,24486,50065,97479,140417,197514
   dd 345980,590827,803530,1183000,1843000,2759000,3753000,4649000,5937000
   ;以上是表示21年公司总收入的21个DWORD型数据
   dw 3,7,9,13,28,38,130,220,476,778,1001,1442,2258,2793,4037,5635,8226
   dw 11542,14430,15257,17800
   ;以上是表示21年公司雇佣人数的21个WORD型数据
data ends
table segment
   db 21 dup ('year summ ne ?? ')
table ends
codesg segment
start:mov ax,data
      mov ds,ax;定义数据的段地址
            
      mov ax,table
      mov es,ax;定义表格的段地址
         
      mov dx,0
      mov bx,0
      mov bp,0
      mov si,0
      mov di,0
      
      mov cx,21
s:mov al,
      mov es:,al
      inc bp
      ;以上是把年份写入表
      
      mov ax,22
      mov es:.6,ax
      ;以上是把收入数据的高位写入表
            
      mov ax,106
      mov es:11,ax
      ;以上是把雇员数写入表
            
      add si,2   
      add di,2
      mov ax,22
      mov es:.6,ax   
      ;以上是把收入数据的低位写入表
         
      mov ax,es:.6   
      sub di,2      
      mov dx,es:.6   
      add di,2      
      div word ptr es:11
      mov es:14,ax         
      ;以上是把平均收入写入表
      
      inc bx
      loop s

      mov ax,4c00h
      int 21h
      
codesg ends
end start
单步运行到div word ptr es:11时候,提示除法溢出.
求解,到底怎么回事?

熊文杰 发表于 2013-4-23 15:22:43

s:mov al,,这个bp默认不是ds寄存器,是ss寄存器

熊文杰 发表于 2013-4-23 16:18:54

楼主 除法溢出 你就看下dx,ax的值,然后看下es:11 这个地址的值,这是32位除以16位除法,得到的结果是ax放商,dx放余数,但是如果商超过了16位就会溢出。

sjm 发表于 2013-4-23 16:41:49

熊文杰 发表于 2013-4-23 16:18 static/image/common/back.gif
楼主 除法溢出 你就看下dx,ax的值,然后看下es:11 这个地址的值,这是32位除以16位除法,得到的结果是ax放 ...

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1h
不溢出阿! 可是运行说溢出.

jeset 发表于 2013-4-23 16:58:16

你的bx错了,bx和di地址错误

玻璃心 发表于 2013-5-2 11:51:05

好专业啊{:1_1:}
页: [1]
查看完整版本: 汇编语言实验7,我写了连接可以,可是单步运行时他说出发溢出,我错在哪里?