Like Smalltalk, they're forced to do this to catch the errors that would've been caught by type annotation. So then, could the argument be made that less stringent type annotation hurts code quality by removing effort from unit testing?
It does not appear that the paper took automated testing into account at all. Whether greater use of automated testing in Ruby is responsible for the lower defect rate observed here relative to Python would definitely be an interesting topic for another paper.
Clojure is also dynamically typed by default and below the line. It does not have Ruby's strong unit testing culture, but it does have a design that encourages functional programming, which proponents argue reduces sources of error. It also has a culture of REPL-driven development that arguably fills some of the role of automated testing.
Figuratively speaking. None of the languages they test enforce any unit testing. What I'm suggesting is that since the Ruby community tends to be more obsessive about testing, that might lead to an improvement in code quality when comparing against other similar languages like PHP or JS which are less obsessive about testing. It's something you might have to control for to see the impact.
Type systems are a completely different factor; you'd have to control for that variable too to determine the impact of it. My experience with both systems makes me predict that static typing would improve code quality, but if you want to actually be scientific you'd want to add that factor to the statistical analysis to see if the data support that hypothesis. Anecdotes like personal experience don't count.
The trivial type-mistake "Unhandled Exceptions" in Smalltalk would leak out more often than was comfortable, if the project didn't have a good means of testing to catch those. I suspect that has something to do with the Ruby community being more obsessive about testing.
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Very few of the unit tests I've written for Ruby/Python catch errors that would be caught by typical type system use in C/Java/etc. (Haskell, maybe, but...) The main thing I miss in dynamic languages vs. static is the more powerful automatic testing possible when test specs can leverage type information (e.g., QuickCheck/ScalaCheck), not an absence of need for testing.
Types just make everything easier to do right the first time.
Plus, AFAIK, no one has written the libraries, making it even higher marginal friction in practice even more than than is true in the ideal case.
[1] https://twitter.com/unclebobmartin/status/113589437016571084...
Sure, I've seen global try/catch blocks swallowing all errors in C#/C++ code too, but definitely not as prevalent in my anecdata.
Despite these three languages giving far too much freedom to the programmers (which some might even like), high-quality code can be written in all three of them, as long as intelligent and strict coding guidelines are thoroughly followed.
And of course lots of out of band(non-language) processes and tools that influence this like unit testing/code reviews/strict coding guidelines. But it's always nicer when it's prevented at the language level as opposed to out of band.
* Python, JS, PHP, Java, C++ are all very common first languages; I'd imagine the average experience level for these is dragged down a bit compared to others like Golang, Haskell, or Scala. One of the recent Stack Overflow Developer surveys found Golang use to be strongly correlated with age, and since I'm assuming bug count would negatively correlate with age you'd see a confounding factor here.
* Ruby's community has an obsessive culture towards unit testing, that could impact bug levels.
* The trade-offs that make C and C++ attractive such as memory performance are double-edged swords and will naturally correlate with more bugs. For example, I work a fair bit in embedded systems which use MISRA C out of necessity; I've also worked in large scale data processing which chooses C++ for its memory mapping performance over Java or Go. If "number of defects" is your primary measure then you're ignoring some of the reasons languages are chosen. Sometimes a language that minimizes bugs is not a viable option.
* I'd guess there is a skill correlation here: an engineer who is willing to seek out a specific less-used language and learn to use it effectively is probably more likely (not guaranteed) to do a better job than one who is just going with the default choice.
It'd be very interesting to see a regression done that accounts for these factors.