In my deliberate practice plan for software developers, I suggested that aspiring programming experts find a source of programming problems to use as part of a deliberate practice routine. It turns out that there are more pre-packaged programming problems out there than you could get through in a lifetime. Many of them come from the world of competitive programming. Competitive programming is a “mind sport” like a quiz show or a chess tournament. Contestants are given a set of programming problems, and they have to write programs to solve them. In most cases, programs are submitted to an online judge, which verifies that they produce the correct answer and don’t run longer than a specified time limit. Participants are scored according to how quickly they submit a correct and sufficiently fast program. They may also have a chance to submit challenges to try to stump their colleagues’ programs. Competitive programming is most popular among high school and college students outside of the United States, but there are plenty of competitive programmers who don’t fit that profile. For a colorful description of one contest, the 2010 International Olympiad in Informatics, see the Wired article Teen Mathletes Do Battle at Algorithm Olympics. Regular online contests take place at TopCoder, CodeChef, and Codeforces. These sites also provide access to past problems, which can be used for practice.
Archives for January 2015
In Making Sense of the Deliberate Practice Debate and Coding is Underrated, I introduced the concept of deliberate practice, and suggested a specific skill that aspiring software development experts can use as their practice target. I’m now going to go into detail on a deliberate practice process for this skill. Here’s the skill description again:
Write correct, efficient, and maintainable code for a software component given well-defined requirements.
Remember that we’re not just hoping that the requirements will be well-defined. At the instant that you sit down in front of your editor to implement a section of code, your requirements have to be well-defined. If they’re not, then the code that you write becomes the requirement, possibly the wrong one. If you’re not sure about a requirement, clear up any questions before you start coding. Defining requirements is another skill with its own deliberate practice process. For the purpose of the process explained below, I’m going to assume that an expert in that skill (maybe you) has clearly defined the requirements.
In Making Sense of the Deliberate Practice Debate, I argued that deliberate practice is the best way to get better at a skill, even if you believe that innate ability (talent) plays a significant role in how people become experts. In the next few posts, I’m going to start investigating how software developers can apply deliberate practice to a specific skill: Writing correct, efficient, and maintainable code for a software component given well-defined requirements. But first, let’s take a closer look at that skill.
The summer of 2014 was a busy time for online chatter about deliberate practice, the specific type of practice that is designed to improve performance of a complex skill. In July, the journal Psychological Science published a paper (summary, full text) by Brooke Macnamara and colleagues, arguing that practice, even deliberate practice, plays only a small role in explaining the difference between novice and expert performance. This contradicts the argument, made in an influential 1993 paper by K. Anders Ericsson and popularized in Malcolm Gladwell’s Outliers, that even talented people make it to the top of their fields mainly by spending enough time practicing in a particular way. The new result prompted a flurry of articles and blog posts. For example: