從需求分析開始_项目管理_非技术区_程序员俱乐部

中国优秀的程序员网站程序员频道CXYCLUB技术地图
热搜:
更多>>
 
您所在的位置: 程序员俱乐部 > 非技术区 > 项目管理 > 從需求分析開始

從需求分析開始

 2013/7/18 22:58:54  夜雨無聲  博客园  我要评论(0)
  • 摘要:如果說得不好,請盡情地噴。如果覺得這一篇文章誤人子弟,請提醒我刪除,或者加一句:此文有害,請慎入。謝謝。假設我們要做一個電梯軟件,這是一個很簡單的軟件了,需求分析我就不做了,大家都坐過電梯,不加詳談。好了,我們先畫一個最簡單的用例圖。如下:如果我們要用這個圖來進行代碼編寫,那真是天方夜譚了。我們要把它細化。我們知道了乘客的各個需求功能,每一個功能都會有一個場景,這是妳要明白的了。好吧,我不想解釋場景。拏等電梯來說,我們來畫一個場景圖,我用活動圖來表示,如下:這個圖已經有一絲程序流程圖的味道了吧
  • 标签:分析 需求分析

如果說得不好,請盡情地噴。如果覺得這一篇文章誤人子弟,請提醒我刪除,或者加一句:此文有害,請慎入。謝謝。

 

假設我們要做一個電梯軟件,這是一個很簡單的軟件了,需求分析我就不做了,大家都坐過電梯,不加詳談。好了,我們先畫一個最簡單的用例圖。如下:

 

 

如果我們要用這個圖來進行代碼編寫,那真是天方夜譚了。我們要把它細化。我們知道了乘客的各個需求功能,每一個功能都會有一個場景,這是妳要明白的了。好吧,我不想解釋場景。拏等電梯來說,我們來畫一個場景圖,我用活動圖來表示,如下:

 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" alt="" />

這個圖已經有一絲程序流程圖的味道了吧。

到了這裡的時候,我們就可以看出,乘客按向下或向下的按鈕來等電梯,進電梯,齣電梯。外面那個嚮上嚮下的燈會燈會滅,電梯會開門會關門,會判超重會報警。如此一分析,我們都可以大概分出三個模塊出來了,即乘客、電梯、燈,他們三個互相交互,構成了以上的場景圖。根據我們粗略劃分出來的模塊,把場景圖一整理,變成如下:

 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" alt="" />

這個圖是不是模塊感比較強烈一些呢。

 

好吧先寫到這裡了。如果你覺得有一點道理的話,可以試著畫下坐電梯的場景圖。下一篇我將介紹怎麼設計類視圖。

 

總結一下,

  1. 需求分析。
  2. 用例圖。
  3. 場景圖
  4. 通過功能進行模塊劃分。

 

到了這裡,估計你自己都會畫類視圖了。

发表评论
用户名: 匿名