修改过的5.1测试与封装
1.第一阶段目标 - 把计算的功能封装成类。
2.设计测试用例:用白盒与黑盒测试设计技术,为计算核心设计测试用例。
3.在实验环境中(如MyEclipse集成开发环境+Junit测试框架)运行测试用例,分析测试结果,找出程序问题,给出改进前后的代码对照。
结对子:
201306114454 陈汝婷 http://home.cnblogs.com/u/chenruting/
201306114448 练丽云 http://i.cnblogs.com/EditPosts.aspx?opt=1
import java.text.DecimalFormat; import java.util.Scanner; public class Calculator { private static long x ; private static long y ; public double z ; private static String s; public static void main(String[] args) { String condition = ""; Calculator ys = new Calculator(); Core core = new Core(); do{ Scanner scanner = new Scanner(System.in); try{ System.out.print("请输入第一个数:"); x = scanner.nextLong(); System.out.print("请输入第二个数:"); y = scanner.nextLong(); System.out.print("请输入运算符:"); s = scanner.next(); core.calc(s,x,y); }catch(Exception e){ System.out.print("输入有错!"+e); } System.out.print("是否继续?(continue or finish):"); condition = scanner.next(); }while("continue".equals(condition)); } } import java.text.DecimalFormat; import java.util.Scanner; public class Core { static final int NUM_MAX_OPERATOR = 1; // 最多4 个运算符 static final int NUM_SCALE = 2; // 数值范围是 -1000 到 1000 static final int NUM_PRECISION = 3; // 精度是小数点后两位 public static int i=0; public long z; public double calc(String s) { double result = 0.0d; // 这个方法中我可以计算两个数的+ - * / return result; } public long add(long x,long y) { return x+y; } public long calc(String s, long x, long y) { Scanner scanner = new Scanner(System.in); if (s.equals("+")) { z=(x+y); System.out.println(z); } else if (s.equals("-")) { z=x-y; System.out.println(z); } else if (s.equals("*")) { z=x*y; System.out.println(z); } else if (s.equals("/")) { if (y != 0) { z=x/y; System.out.println(z); } else { i++; try{ z=x/y;} catch(Exception e){ if(i<3) { System.out.println("分母不能为零!"); System.out.print("请重新输入第二个数:"); y = scanner.nextLong(); calc(s,x,y); } else{ System.out.println(i); System.out.println(exit(i=3)); } } } } else { System.out.println("输入不符合要求!"); }return z; } public String geta(){ return String.valueOf(z); } private char[] exit(int j) { // TODO 自动生成的方法存根 return null; } } import static org.junit.Assert.*; import org.junit.Test; public class CoreTest { @SuppressWarnings("deprecation") @Test public void test() { Core core = new Core(); long d = core.calc("+",12589456L,25364563L); assertEquals(37954019, d); } @Test public void jianfatest() { Core core = new Core(); long d = core.calc("-",2,1); assertEquals(1, d); } @Test public void chengfatest() { Core core = new Core(); long d = core.calc("*",2,1); assertEquals(2, d); } @Test public void cftest() { Core core = new Core(); long d = core.calc("/",6,2); assertEquals(2, d); } }
运行结果:
测试类的测试:
:![](//images0.cnblogs.com/blog2015/736005/201504/301108419587451.png)
减法测试:
![](data:image/png;base64,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)
![](data:image/png;base64,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)
乘法:![](data:image/png;base64,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)
![](data:image/png;base64,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)
![](data:image/png;base64,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)
除法:![](data:image/png;base64,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)
![](data:image/png;base64,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)
![](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAIcAAABPCAIAAABOPkGEAAACvUlEQVR4nO2ZTXLjIBBGda3WgbgOOkJOwVmmitnMZuYG2ToL/dA0IBsFub7KfK+yiGVoNTxoYXv68/fz+Pv1+9+jn+AmFyrXoxfxUTWJXsR7N4nI3iF60Z1VKNX7Wk6TChzcN2KZuNWxnmNGeRZ9zXN6g5XoxYV1asL67yO4SZyTyfTMrUyKrlkNzgYeBbKV6PV8Bje1EB/T+2pi90s21ed7JXp5augYXP29g+Pu66wFl5JMzfJIpZVKS7WgXNB3tFllfbNp7LGy3+5ZpkdrlajzMeWxtY9e8mCvVbBj1I3117QSnL5d2lFrQL3Mshmul9hWy8rGqO6VPJk83MtW8v1hYj3ZnsGJiJ5GPRpdbvqeK62UWlbs9WOy8lkr9n6+yXNHzdqg71SzUkvyWgWrL9IzK9HLWhpsiy1UWQ4G7JWWloqV48GXWzkrgLmVZss1yVr8dt/Bz5WmFf3elps+HtmuY54rZWnczmBFBdtelGVKj86ULPOyaBm9twdMFT/ln9UIv18adgbbjlg19kHoB+k+mtpqH3YyfuTlpV6e7HrJhlR2NQm2W6Z7mAOl+KhXVeqbFukwK/YQawvtyV5Ki/fkIFdW9x/PCCtkNLSCCK0g8pKVD/JeuFcQoRVEaAURWkGEVhDptBKXefuoPS//z0ftt9P3nfEy71+yLTO93MfVCnbfj7DkspW4zJRyH5escKPcTLeVuMxUcjd9VqjkPfRYScfi+i+JZBT8FIkIrSBCK4jQCiK0ggitIEIriNAKIrSCCK0gQiuI0AoitIIIrSBCK4jQCiK0ggitIEIriNAKIrSCCK0gQiuI0AoitIIIrSBCK4jQCiK0ggitIEIriNAKIrSCCK0gQiuI0AoitIIIrSBCK4jQCiK0ggitIEIriNAKIrSCCK0gQiuI0AoitIIIrSBCK4jQCiK0gsgXK2xue6cVmkgAAAAASUVORK5CYII=)
当除数为0的时候会有2次重新输入输入的机会![](data:image/png;base64,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)
![](data:image/png;base64,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)
最后献上我们的照骗,敬请欣赏:
![](http://images0.cnblogs.com/blog2015/736005/201505/061405175322796.jpg)