Here at Intent HQ we believe how important it is to write good code. Why? First, because writing good code is much cheaper and more fun than writing bad code. Second, because if you write good quality code chances are that the product you are building will be much better. Third, and more important, because writing good quality code is what we are supposed to do: after all, we are getting paid for doing our job well.
It is because of the importance of writing good code that we always ask the candidates what do they believe good code quality is. Note that the question asks for a subjective answer, and that’s what we are expecting, the actual thoughts of the candidate about what would he or she expect a code to have (or not have) in order to be considered good.
After lots of interviews we started wondering if we could come out with a definition of good code following a pseudo-scientific method. After all, we had the answers of dozens of software developers and they can’t all be wrong, can they?
The population is defined by all the software developers. The sample consists of 65 developers chosen by convenience (applying and having an interview for one of our positions). That means that the sample is biased to developers with some Java or Scala skills and, in general, +5 years of experience.
The questionnaire consists in a single question: “What do you feel makes code good? How would you define good code?” The question has been asked by the same person in a job interview (face to face or via phone) in a period of approximately 1 year, from January 2014 to January 2015. The answers were coded and grouped into 31 different categories grouping the answers that have a frequency of 2 or more, the rest of the answers were discarded for the purpose of this exercise. For example, the following answers fall in the category Readable:
Can be read by humans
People can read it
Easy to understand
Takes less than 5 min to understand it
You can read it, can understand it without documentation
Understandable, new developers should be able to understand it
Easily readable as if it was some text
Easy to read. Straight forward
The answers of the 65 developers resulted in a total of 288 different items, an average of 4.43 items per person.
Of those, the most common answer by far was that the code has to be Readable(78.46%), almost 8 of each 10 developers believe that good code should be easy to read and understand.
The next item in the list is Testable/Tested (29.23%), meaning that good code should be covered by automated tests (or at least it should be possible to do it). One quarter of the respondents believe that good code should be simple –not over complicated– and that it should work as well, meaning that should do what it’s intended to do with answers like should be “functionally correct”. The last item in the top five stands that the code should be Maintainable (21.54%).
Curiously, following in the list we find two are about the same topic, documentation and comments in the code. People that argue the code should be self documented gave answers like “no need to document to know what’s happening” while the ones that highlight the importance of comments in the code go from documenting public apis (“proper javadocs”) to “comments, explain what you are doing in your code”.
Some other answers include Clean –with clear references in some cases to the well known book “Clean Code” by Uncle Bob–; Extendable/Reusable, e.g. “doesn’t constraint you for extension”; the need to not repeat ourselves (DRY); choose proper Naming; write code Decoupled or the importance to write Small methods –although small is a different concept that goes from “10-15 lines” to “<50” depending on the developer–.
The interviews have left us with some very interesting quantitative data to analyse, along with some qualitative data that is worth mentioning. See below some of the answers that we liked the most, some of them because they made us smile, some others just because they sounded so reasonable and obvious:
Tested, it doesn’t explode.
Don’t create things that don’t need to exist.
Anybody can go with a bit of comment. In the future they can see it.
When you see it, it does make sense.
You have to understand the business purpose.
You don’t write code just to be there.
No too clever.
Bad code does a lot of things but none well.
From the results it’s probably not surprising to see that vast majority of the developers really value readability and understandability in the code that they write (and read). What can be a little more surprising is the difference between that characteristic and all the rest, about 50% less!
Here at Intent we were slightly surprised by four items specifically (sorted by the level of surprise):
Maintainable: given that most of us have had to maintain somebody else’s code (or our own after some time) and have probably thought about them in non-friendly terms, we were expecting more developers to be worried about writing maintainable code. Maybe it’s because some of them assumed that if the code is readable it’s maintainable as well.
Works: writing code should always have one purpose, deliver some value to somebody. Writing code that works, that it’s actually deployed somewhere making somebody happy is one of our top priorities. So we were kind of surprised every time a developer didn’t include that item in the answer. To be fair, it’s also true that some of the developers had given that for granted (or at least that’s what they said when asked) but it can be symptom of some underlying problem.
Testable/Tested: we won’t emphasise in here the importance of testing our code, we believe it’s well covered in hundreds of other posts and books. That’s precisely why we had thought that nowadays more developers would have highlighted the importance of having tests behind our code.
Efficient: it’s surprising that 40 years after the famous quote from Knuth: “We should forget about small efficiencies, say about 97% of the time: premature optimization is the root of all evil”1. There are more than two times more developers that highlight the importance of writing efficient code than developers that highlight the need to not fall in premature optimisation.
Finally, we would like to create a definition of good code. In order to do it firstly we should decide how many dimensions we should take into account. Given that the average number of items answer by the developers is 4.46 then, we have decided to take the 5 items with more answers (Readable, Testable/Tested, Works, Simple and Maintainable) and use them to create the definitive (or at least democratic?) definition of good code:
“Good code is written so that is readable, understandable, covered by automated tests, not over complicated and does well what is intended to do.”
Doesn’t sound bad at all, does it?
To view all our latest engineering and data science vacancies, visit our career website today.
1. Knuth, Donald (December 1974). “Structured Programming with go to Statements”. ACM Journal *Computing Surveys 6* (4): 268. CiteSeerX: 10.1.1.103.6084.
Understanding who your customers really is already a must for any telco in today’s data-driven, highly competitive environment. However, how they do this will have to evolve in many cases to keep up with the growing pace and scale of the challenge.
Life is a digital experience for most customers. Big as it already is, the importance of customer data continues to grow. We are told that “data is the new oil.” Some of the largest enterprises on Earth are founded on data such as Google, Amazon, Alibaba, Facebook, Netflix, Salesforce, Microsoft, and Oracle. Many of these big tech firms didn’t exist 25 years ago, making their success astonishing.
The marketplace for telcos is tougher than ever. So if you’re to thrive in an environment where customer demands are high and new, innovative offerings are always looking to persuade consumers to switch providers, you need to stand out from the crowd. To do this, an effective personalization strategy is a must-have. This plays a […]
Data is any business’ most valuable resource. But while this is more true than ever in today’s environment, it’s not the whole story. After all, it doesn’t matter how many billions or even trillions of data points a firm possesses – if they can’t utilize it effectively, it’s doing nothing more than taking up server […]