为后备列表中的每个项目都赋予业务价值的点数，这会让你能够计算“业务速率”，例如，在每个Sprint中实现了多少业务价值(以点数计算)。
Putting a business value in points against every item on the backlog allows you to calculate 'business Velocity', i.e. how much business value (in points) was delivered in each Sprint.
其他的规模计算方法包括程序、声明和功能点数量。
Other measures of size include number of routines, statements, and function points.
浮点数和小数不象整数一样“循规蹈矩”，不能假定浮点计算一定产生整型或精确的结果，虽然它们的确“应该”那样做。
Floating point and decimal Numbers are not nearly as well-behaved as integers, and you cannot assume that floating point calculations that "should" have integer or exact results actually do.
由有限精度浮点数字引起的很小的舍入错误就会严重歪曲数学精度计算。
Mathematically precise calculations can be thrown severely askew by small round-off errors caused by finite-precision floating-point Numbers.
区别在于一个事实：计算机中使用的浮点数据类型无法包含每个实数。
The difference lies in the fact that floating-point data types used in computers can't hold every real number.
如果把清单11所示的方法画成流程图（见图 1），就很容易算出边数和节点数并计算出圈复杂度。
If you diagram the method shown in Listing 11 into a flow chart, you can easily count the number of edges and nodes and calculate the cyclomatic complexity, as shown in Figure 1.
所以这里的意思是编译器将,做“计算“，譬如13这样一个浮点数,-到另一个浮点数-,然后为我们处理除法。
So what that means is the compiler is actually going to first "cast" so to speak 13 from whatever it is - to a float -- to a floating point value -- and then perform the division for us.
不过这个例子没有限制XML内容的大小，而是通过计算节点数把XML元素限制为100个book项。
Rather than limit the XML content size, the sample application limits the size of the XML elements to 100 book items by counting the nodes.
当代码被编译或者解释运行时，“0.1”已经被近似转化为这种形式下最接近的一个浮点数，这导致在计算还没有真正开始之前，一个微小的舍入误差就已经存在了。
When the code is compiled or interpreted, your "0.1" is already rounded to the nearest number in that format, which results in a small rounding error even before the calculation happens.
Wheeler先生表示，该系统由新的搜索技术、强化的计算机运算性能以及Amadeus拥有的庞大的航空、酒店和景点数据库所推动。
Mr. Wheeler said the system is enabled by new search technologies, increased computer-processing power and Amadeus’s access to large amounts of data about flights, hotels and destinations.
浮点数表示法，含部份换轴之高斯消去法，使用矩阵大小之计算尺度调整，带状及三角对角系统，LU分解。
Floating point representation, Gaussian elimination with partial pivoting, scaling of computations with matrix size, banded and tri-diagonal systems, LU decomposition.
在确定候选椭圆时，最大限度地减少随机采样点数？剔除更多的非椭圆点，降低了无效采样，减少了无效计算。
When determining a candidate ellipse, the number of points sampled randomly was maximally reduced, more non-ellipse points were eliminated, and therefore useless sample and calculation were reduced.
计算量采用修正标量位，这样在同样的节点数下相对于矢量位它可以减少联立方程的阶数。
The modified scalar potential is used to reduce the order of the coupled equations in the comparison with the vector potential under the same node number.
应用计算感染点数目来确定其传染性，如蚀斑，痘疱及病杜数。
The infectivity is quantified by counting the number of infective centers such as plaques pocks and foci.
并对采样点数与残差值的关系进行了分析和计算。
The relation between the number of sampling points and the remainder error is discussed.
因为在内部，计算机使用一种非精确的(二进制浮点数)形式表示诸如0.1,0.2,0.3之类的小数。
Because internally, computers use a format (binary floating-point) that cannot accurately represent a number like 0.1, 0.2 or 0.3 at all.
利用方差分析的方法分析计算误差与界址点点数、宗地面积大小间的关系。
Also, by using variance analysis, the relation of calculation error to the number of parcel corner points and the size of parcel area is analysed.
该控制系统可以通过串口与计算机连接，实时显示各检测点数据。
This controller system can link to PC by serial interface and can real-timely display data of all testing point.
提出了SDH环和WDM环的成本构成模型，计算分析了在不同的环节点数量和不同的业务流量情况下二者的成本。
Further more, the paper puts forward cost structure models of SDH ring and WDM ring and calculates the two rings'costs with varying ring size and traffic volume.
求变数的离散富氏变换用固定点数的FFT，节省了计算时间。
The discrete Fourier Transform of the variables is computed with the FFT of fixed points.
在移动计算机环境中，数据广播只适应于时具有公共访问兴趣的热点数据的访问，而传统的联机请求方式则可以访问任何服务器数据。
In mobile computing environment, data broadcast can only support access to hot data with common interest, while traditional online request method can support access to any data on the server.
对计算机浮点数算术运算的舍入误差进行分析，是对数值计算方法作误差分析的基础。
To analyze the rounding error of calculator floating-point Numbers arithmetic operation is the foundation of numerical calculation method's error analysis.
这样做不但会产生用于发送指令的额外通信开销，更会在节点数量上升时由于协同算法计算量上升，从而导致整个系统的效率下降。
This will bring the extra communication cost for instruction delivery, as well as the efficiency decrease because of the increase of computation cost brought by increased nodes 'numbers.
采用浮点数编码对模糊控制规则进行优化，既提高了运算效率和计算精度，又保证了控制系统的快速性和全局最优性。
Floating-point coding is adopted to optimize fuzzy control rules, it can improve the efficiency and accuracy of calculation, also can guarantee fastness and global optimal.
最后通过实例计算分析了三种结构系统平均可靠度受通信节点数影响的情况。
Lastly, the circumstance which the system average reliability of three topologies is affected by the node number is analyzed by an illustration.
作为例子，我们将要写一个计算由浮点数、圆括号及一些常用的加、减等算术符号组成的算术表达式的程序。
As an example we will write a small program to read and evaluate arithmetic expressions consisting of floating point Numbers, parentheses and the usual operators for addition, subtraction, and so on.
作为例子，我们将要写一个计算由浮点数、圆括号及一些常用的加、减等算术符号组成的算术表达式的程序。
As an example we will write a small program to read and evaluate arithmetic expressions consisting of floating point Numbers, parentheses and the usual operators for addition, subtraction, and so on.
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