Hi Junia > I am a professor of Computer Science in a technological institute. My research is comparing productivity of computer > languages using Measurement Theory.
As a software professional and one-time researcher your research sounds intriguing. Software productivity is one of those areas that is notoriously difficult thing to measure rigorously, and I for one would welcome data and allied insights. I (and I'm sure others on this list would also) be interested in your findings to date, especially if you can give recommendations for language improvement. What do you find are the distinguishing features that lead to greater productivity? Besides the intrinsics of the language, how significant is the support from the wider community when an individual hits an obstacle -- be it from resources like StackOverflow or user mailing lists such as this one? I'm not sure how you'd study that empirically -- probably with some sort of questionnaire to the user community -- but in this day and age, I'd think that quality and responsiveness of community plays a significant part in language adoption and user retention. I would expect that in such a study the Racket core devs would score highly for their responsiveness and helpfulness, as well as for the quality of their software. Kind regards Dan -- *Daniel Prager* Agile/Lean Coaching, Software Development and Leadership Startup: www.youpatch.com Twitter: @agilejitsu <https://twitter.com/agilejitsu> Blog: agile-jitsu.blogspot.com
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