This is the firstin a series of posts on this topic.

The one question I get morethan any other is "How does Google test?" It's been explained in bitsand pieces on this blog but the explanation is due an update. The Googletesting strategy has never changed but the tactical ways we execute it hasevolved as the company has evolved. We're now a search, apps, ads, mobile,operating system, and so on and so forth company. Each of these Focus Areas (aswe call them) have to do things that make sense for their problem domain. As weadd new FAs and grow the existing ones, our testing has to expand and improve.What I am documenting in this series of posts is a combination of what we aredoing today and the direction we are trending toward in the foreseeable future.

Let's begin withorganizational structure and it's one that might surprise you. There isn't anactual testing organization at Google. Test exists within a Focus Area calledEngineering Productivity. Eng Prod owns any number of horizontal and verticalengineering disciplines, Test is the biggest. In a nutshell, Eng Prod is madeof:

1. A product team thatproduces internal and open source productivity tools that are consumed by allwalks of engineers across the company. We build and maintain code analyzers,IDEs, test case management systems, automated testing tools, build systems,source control systems, code review schedulers, bug databases... The idea is tomake the tools that make engineers more productive. Tools are a very large partof the strategic goal of prevention over detection.

2. A services team thatprovides expertise to Google product teams on a wide array of topics includingtools, documentation, testing, release management, training and so forth. Ourexpertise covers reliability, security, internationalization, etc., as well asproduct-specific functional issues that Google product teams might face. Everyother FA has access to Eng Prod expertise.

3. Embedded engineers thatare effectively loaned out to Google product teams on an as-needed basis. Someof these engineers might sit with the same product teams for years, otherscycle through teams wherever they are needed most. Google encourages all itsengineers to change product teams often to stay fresh, engaged and objective.Testers are no different but the cadence of changing teams is left to theindividual. I have testers on Chrome that have been there for several years andothers who join for 18 months and cycle off. Keeping a healthy balance betweenproduct knowledge and fresh eyes is something a test manager has to pay closeattention to.

So this means that testersreport to Eng Prod managers but identify themselves with a product team, likeSearch, Gmail or Chrome. Organizationally they are part of both teams. They sitwith the product teams, participate in their planning, go to lunch with them,share in ship bonuses and get treated like full members of the team. Thebenefit of the separate reporting structure is that it provides a forum fortesters to share information. Good testing ideas migrate easily within Eng Prodgiving all testers, no matter their product ties, access to the best technologywithin the company.

This separation of projectand reporting structures has its challenges. By far the biggest is that testersare an external resource. Product teams can't place too big a bet on them andmust keep their quality house in order. Yes, that's right: at Google it's theproduct teams that own quality, not testers. Every developer is expected to dotheir own testing. The job of the tester is to make sure they have the automationinfrastructure and enabling processes that support this self reliance. Testersenable developers to test.

What I like about thisstrategy is that it puts developers and testers on equal footing. It makes ustrue partners in quality and puts the biggest quality burden where it belongs:on the developers who are responsible for getting the product right. Anotherside effect is that it allows us a many-to-one dev-to-test ratio. Developersoutnumber testers. The better they are at testing the more they outnumber us.Product teams should be proud of a high ratio!

Ok, now we're all friendshere right? You see the hole in this strategy I am sure. It's big enough todrive a bug through. Developers can't test! Well, who am I to deny that? Noamount of corporate kool-aid could get me to deny it, especially coming off myGTAC talk last year where I pretty much made a game of developer vs. tester(spoiler alert: the tester wins).

Google's answer is to splitthe role. We solve this problem by having two types of testing roles at Googleto solve two very different testing problems. In my next post, I'll talk aboutthese roles and how we split the testing problem into two parts.

How Google TestsSoftware - Part One的更多相关文章

  1. How Google TestsSoftware - Crawl, walk, run.

    One of the key ways Google achievesgood results with fewer testers than many companies is that we ra ...

  2. How Google TestsSoftware - Part Three

    Lots of questions in thecomments to the last two posts. I am not ignoring them. Hopefully many of th ...

  3. How Google TestsSoftware - Part Two

    In order for the "you buildit, you break it" motto to be real, there are roles beyond the ...

  4. How Google TestsSoftware - Part Five

    Instead of distinguishingbetween code, integration and system testing, Google uses the language ofsm ...

  5. How Google TestsSoftware - The Life of a SET

    SETs are Software Engineersin Test. They are software engineers who happen to write testing function ...

  6. How Google TestsSoftware - A Break for Q&A

    New material for the thisseries is coming more slowly. I am beginning to get into areas where I want ...

  7. Google是如何做测试的?

    Google是如何做测试的?(一.二) 导读:本文译自 James Whittaker 在 Google 测试官方博客发表的文章<How Google TestsSoftware >. 在 ...

  8. Linux 利用Google Authenticator实现ssh登录双因素认证

    1.介绍 双因素认证:双因素身份认证就是通过你所知道再加上你所能拥有的这二个要素组合到一起才能发挥作用的身份认证系统.双因素认证是一种采用时间同步技术的系统,采用了基于时间.事件和密钥三变量而产生的一 ...

  9. linux上使用google身份验证器(简版)

    系统:centos6.6 下载google身份验证包google-authenticator-master(其实只是一个.zip文件,在windwos下解压,然后传进linux) #cd /data/ ...

随机推荐

  1. CodeForces 742A Arpa’s hard exam and Mehrdad’s naive cheat

    题意:求1378 n次幂的最后一位. 析:两种方法,第一种,就是快速幂,第二种找循环节,也很好找,求一下前几个数就好. 代码如下: #pragma comment(linker, "/STA ...

  2. Spring 学习笔记 3. 尚硅谷_佟刚_Spring_配置 Bean

    1,bean 的配置 <bean id="helloWorld" class="com.yfy.HelloWorld"> <property ...

  3. debian下使用gitosis+gitweb搭建SSH认证的git服务器

    搭建完成Git服务器后,需要使用两台机器进行测试,一台机器作为服务器端server,一台服务器作为客户端client.整个系统,需要三个计算机账户,这里假设server端的账户名为git,client ...

  4. 【转】COM技术内幕(笔记)

    COM技术内幕(笔记) COM--到底是什么?--COM标准的要点介绍,它被设计用来解决什么问题?基本元素的定义--COM术语以及这些术语的含义.使用和处理COM对象--如何创建.使用和销毁COM对象 ...

  5. 5.webService拦截器

    CXF为什么要设计拦截器? 为了在webservice请求过程中,能动态操作请求和响应数据, CXF设计了拦截器. 拦截器分类 1.按所处的位置分:服务器端拦截器,客户端拦截器 2.按消息的方向分:入 ...

  6. 关于Android的背景色配色小结

    三基色原理:三基色是指红,绿,蓝三色,人眼对红.绿.蓝最为敏感,大多数的颜色可以通过红.绿.蓝三色按照不同的比例合成产生.同样绝大多数单色光也可以分解成红绿蓝三种色光.这是色度学的最基本原理,即三基色 ...

  7. NTP服务配置

    一.NTP简介 在计算机的世界里,时间非常地重要,例如对于火箭发射这种科研活动,对时间的统一性和准确性要求就非常地高,是按照A这台计算机的时间,还是按照B这台计算机的时间?NTP就是用来解决这个问题的 ...

  8. Android BaseAdapter用法

    BaseAdapter 适配器 BaseAdapter是一个抽象类,因此要写自已的适配器,段继承此类,并实现以下方法: @Overridepublic int getCount() { return ...

  9. Python 深入理解yield

    只是粗略的知道yield可以用来为一个函数返回值塞数据,比如下面的例子: for 取出alist的每一项,然后把i + 1塞进去.然后通过调用取出每一项: = [1, 2, 3, 4]for x in ...

  10. Yii2 中自定义实例名称

    Yii2高级模板中,以frontend 和backeend的模式来分离前后台,这样的优势是 工程可以独立开发和部署.很大程度上起到解耦作用. 如果我们希望再增加名为 [api]一个过程怎么办? 第一步 ...