问题 填空题

近些年来形成了软件开发的多种模式,大致有三种类型:基于瀑布模型的结构化生命周期方法、基于动态定义需求的 【4】 方法和基于结构的面向对象的软件开发方法。

答案

参考答案:原型化

解析: 软件开发的三种模式是:基于瀑布模型的结构化生命周期方法、基于动态定义需求的原型化方法和基于结构的面向对象的软件开发方法。

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American and Japanese researchers are developing a smart car that will help drivers avoid accidents by predicting when they are about to make a dangerous move.

The smart car of the future will be able to tell if drivers are going to turn, change lanes, speed up, slow down or pass another car.

If the driver’s intended action could lead to an accident,the car will activate a warning system or override the move.

(46) " BY shifting the emphasis of car safety away from design of the vehicle itself and looking more toward the driver’s behavior, the developers believe that they can start to build cars that adapt to suit people’s needs , " New Scientist magazine said.

Alex Pentland of the Massachusetts Institute of Technology collaborated on the project with Andrew Liu who works for the Japanese carmaker Nissan.

(47)Tests of their smart car using a driving simulator have shown that it is 95 percent accurate in predicting a driver’s 12 seconds in advance.

(48)The system is based on driving behavior which the researchers say can be divided into chains of sub-actions which include preparatory moves.

It monitors the driver’s behavior patterns to predict the next move.

" To make its predictions, Nissan’s smart car uses a computer and sensors on the steering wheel, accelerator and brake to monitor a person’s driving patterns. (49)A brief training session, in which the driver is asked to perform certain maneuvers, allows the system to calculate the probability of particular actions occurring in two-second time segments, " the magazine said.

Liu has also done work on tracking eye movement to predict driving behavior. (50)He said the smart car could be adapted to monitor eye movement which could give even earlier predictions of when a driver is about to make a wrong move.

(47)Tests of their smart car using a driving simulator have shown that it is 95 percent accurate in predicting a driver’s 12 seconds in advance.