如果在网站开发过程中你一直在做迭代(重复)的可用性测试，就会有许多用户参加其中一个或另一个版本的网站测试。
If you do iterative (repeated) usability testing over the course of developing the Web site, many users will participate in testing one or another version of the emerging site.
通过添加一个循环，您可以为一系列的迭代重复您的测试的任何一部分。
By adding a loop, you can repeat any part of your test for a set number of iterations.
如果你觉得这增加了估算的准确性，那就在更多的迭代中重复这一过程。
Repeat the process for a couple more iterations if you feel this will increase the accuracy of the estimate.
RUP迭代是可重复活动的一个经典的例子。
MDA的可重复的实践集是适合当今迭代开的发需求的，因为MDA提高了开发过程和要交付的解决方案本身的可预见性。
MDA's repeatable set of practices is well-suited to today's iterative development requirements, because MDA enhances predictability of the development process and the delivered solution itself.
但在迭代过程中，比较迭代1的量度与迭代2的量度更加容易，因为我们在重复同一组活动。
But in iterative processes, it is much easier to compare Iteration 1 metrics to Iteration 2 metrics, because we are repeating the same set of activities over and over.
测试新设计之后，回馈开发者并应用于在线服务中，这个过程是迭代的，所以最好的结论是，它应该在一个月内重复。
After a new design passes this test, feed the design back into live service. The process is iterative, so for best results, it should be repeated monthly.
请注意，这些活动是迭代重复的循环的，而不是按照顺序一成不变的。根据实际的情况，也可以改变活动的顺序。
Note that these are iterative, as opposedto sequential, activities. Depending on the circumstances, the order of some ofthese activities may shift.
对于完成重复轨迹跟踪任务的系统，迭代学习控制是一种能有效地改进其跟踪性能的技术。
Iterative learning control is an effective technique for improving the tracking performance of systems that execute the same trajectory motion again and again.
附加的迭代可以找到前一次迭代中通过折叠未发现的重复项。
Additional iterations may locate more duplicates uncovered through folding in the previous iteration.
迭代学习控制是一种新兴控制技术，它是智能控制理论的一个分支，特别适合于具有重复运动特性的被控对象。
Iterative learning control is a new control technology, which is a branch of intelligent control theory and particularly suitable for a controlled object with a repetitive motion.
本文对于矩形区域上某一内点为奇点的奇异积分的近似计算给出了优化中心数值算法，它在迭代计算过程中避免了函数值的重复计算。
This paper presents an optimum numerical algorithm of center rule for the approximate evaluation of singular integrals over rectangular domains with a inner singularity.
定义的迭代确定了团队将重复一组特定主要活动(如计划、开发和测试)的次数。
Iterations that you define determine how many times that the team will repeat a particular set of major activities, such as plan, develop, and test.
这种内外分层结构的迭代方式降低了算法设计的难度，减少了不必要的重复计算，提高了计算效率。
This inside and outside iterative way reduces the algorithm design difficulty, and nonessential double counting, raises the counting yield.
对于具有重复运动性质的对象，迭代学习控制是一种有效的控制方法。
For repetitive movements of the objects, iterative learning control is an positive and effective control method.
并针对点的重复覆盖问题对每次迭代的结果进行了启发式改进，消除了冗余的子集。
Also aimed at duplicated covering of a point, this paper proposes a heuristic improvement of the result of each iteration, which removed the redundancy sub-collection.
基本出发点是减少运算的重复迭代次数，采用每次运算能得到二位结果的算法而不是常规的每次只能得到一位结果的二进制算法。
These algorithms are aimed at reducing the number of repeated iterative operations. The use of radix 4 leads to 2-digit results for each iterative operations.
基本出发点是减少运算的重复迭代次数，采用每次运算能得到二位结果的算法而不是常规的每次只能得到一位结果的二进制算法。
These algorithms are aimed at reducing the number of repeated iterative operations. The use of radix 4 leads to 2-digit results for each iterative operations.
应用推荐