Some lesser-known truths about programming

[size=medium]My experience as a programmer has taught me a few things about writing software. Here are some things that people might find surprising about writing code:

  A programmer spends about 10-20% of his time writing code, and most programmers write about 10-12 lines of code per day that goes into the final product, regardless of their skill level. Good programmers spend much of the other 90% thinking, researching, and experimenting to find the best design. Bad programmers spend much of that 90% debugging code by randomly making changes and seeing if they work.
  “A great lathe operator commands several times the wage of an average lathe operator, but a great writer of software code is worth 10,000 times the price of an average software writer.” –Bill Gates

  A good programmer is ten times more productive than an average programmer. A great programmer is 20-100 times more productive than the average. This is not an exaggeration – studies since the 1960′s have consistently shown this. A bad programmer is not just unproductive – he will not only not get any work done, but create a lot of work and headaches for others to fix.

  Great programmers spend little of their time writing code – at least code that ends up in the final product. Programmers who spend much of their time writing code are too lazy, too ignorant, or too arrogant to find existing solutions to old problems. Great programmers are masters at recognizing and reusing common patterns. Good programmers are not afraid to refactor (rewrite) their code constantly to reach the ideal design. Bad programmers write code which lacks conceptual integrity, non-redundancy, hierarchy, and patterns, and so is very difficult to refactor. It’s easier to throw away bad code and start over than to change it.

  Software obeys the laws of entropy, like everything else. Continuous change leads to software rot, which erodes the conceptual integrity of the original design. Software rot is unavoidable, but programmers who fail to take conceptual integrity into consideration create software that rots so so fast that it becomes worthless before it is even completed. Entropic failure of conceptual integrity is probably the most common reason for software project failure. (The second most common reason is delivering something other than what the customer wanted.) Software rot slows down progress exponentially, so many projects face exploding timelines and budgets before they are killed.

  A 2004 study found that most software projects (51%) will fail in a critical aspect, and 15% will fail totally. This is an improvement since 1994, when 31% failed.

  Although most software is made by teams, it is not a democratic activity. Usually, just one person is responsible for the design, and the rest of the team fills in the details.

  Programming is hard work. It’s an intense mental activity. Good programmers think about their work 24/7. They write their most important code in the shower and in their dreams. Because the most important work is done away from a keyboard, software projects cannot be accelerated by spending more time in the office or adding more people to a project.[/size]
资源下载链接为: https://pan.quark.cn/s/3d8e22c21839 随着 Web UI 框架(如 EasyUI、JqueryUI、Ext、DWZ 等)的不断发展与成熟,系统界面的统一化设计逐渐成为可能,同时代码生成器也能够生成符合统一规范的界面。在这种背景下,“代码生成 + 手工合并”的半智能开发模式正逐渐成为新的开发趋势。通过代码生成器,单表数据模型以及一对多数据模型的增删改查功能可以被直接生成并投入使用,这能够有效节省大约 80% 的开发工作量,从而显著提升开发效率。 JEECG(J2EE Code Generation)是一款基于代码生成器的智能开发平台。它引领了一种全新的开发模式,即从在线编码(Online Coding)到代码生成器生成代码,再到手工合并(Merge)的智能开发流程。该平台能够帮助开发者解决 Java 项目中大约 90% 的重复性工作,让开发者可以将更多的精力集中在业务逻辑的实现上。它不仅能够快速提高开发效率,帮助公司节省大量的人力成本,同时也保持了开发的灵活性。 JEECG 的核心宗旨是:对于简单的功能,可以通过在线编码配置来实现;对于复杂的功能,则利用代码生成器生成代码后,再进行手工合并;对于复杂的流程业务,采用表单自定义的方式进行处理,而业务流程则通过工作流来实现,并且可以扩展出任务接口,供开发者编写具体的业务逻辑。通过这种方式,JEECG 实现了流程任务节点和任务接口的灵活配置,既保证了开发的高效性,又兼顾了项目的灵活性和可扩展性。
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