我正在对初级(也许是高级)软件工程师所犯的常见错误和错误假设进行一些研究。

你坚持时间最长、最终被纠正的假设是什么?

例如,我误解了整数的大小不是标准的,而是取决于语言和目标。说起来有点尴尬,但事实就是这样。

坦率地说;你有什么坚定的信念?你大概坚持了多长时间?它可以是关于一种算法、一种语言、一个编程概念、测试,或者任何关于编程、编程语言或计算机科学的东西。


当前回答

作为一个新手,我有一个假设,在这个领域工作多年的人自然是更好的开发人员。

其他回答

女人觉得计算机程序员性感……

“这个项目将在两周内完成”

and

“这需要2个小时才能实现”

您无法诊断生产中的“间歇性错误”。重新启动服务器是解决这个问题的唯一方法。

也许在我早期的ASP编码中更真实。但是有很多很好的分析工具可以发现内存泄漏和其他奇怪的问题。Perfmon还提供了许多良好的诊断数据。另外,您应该在应用程序中编写诊断日志。

与UNIX相比,NT操作系统的设计有缺陷。事实证明,NT内核和设计决策与任何现代的UNIX类系统非常相似,内核中的大多数问题都是由有漏洞的公司编写的第三方漏洞驱动程序造成的。

我仍然对以下的一些误解感到困扰——尽管我知道这些误解是正确的,但我仍然试图抓住它们不放:

All stakeholders will make decisions about software design objectively. Those that aren't embroiled in writing the code make all sorts of decisions based entirely on emotion that don't always make sense to us developers. Project budgets always make sense - I've seen companies that are quite happy to drop [just for example] $50,000 a month for years rather than pay $250,000 to have a project completed in 6 months. The government for one loses their annual budget if they don't spend it - so spend it they will, come hell or high water. It astounds me at how many project dollars are wasted on things like this. You should always use the right tools for the right job - sometimes this decision is not in your hands. Sometimes it comes down from on high that "thou shalt use X technology" for this project, leaving you thinking "WTF! Who came up with that ridiculous idea?"... the guy paying your paycheque, that's who, now get it done. Programming ideology comes first and foremost, everything else is secondary. In reality, deadlines and business objectives need to be met in order to get your paycheque. Sometimes you make the worst decisions because you just don't have time to do it the right way... just as sometimes that word is on the tip of your tongue but the minute it takes to recall it makes you choose a different and less ideal word. There isn't always time to do it right, sometimes there is only time to do it - however that may be. Hence oft' seen anti-patterns used by so called experienced developers who have to knock out a solution to a problem 10 minutes before the presentation deadline for the software being delivered to your best client tomorrow.