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Prismatic (source: Pixabay) In Glue: the Dark Matter of Software, Marcel Weiher asks why there’s so much code. Why is Microsoft Office 400 million lines of code? Why are we always running into the truth of Alan Kay’s statement that “Software seems ‘large’ and ‘complicated’ for what it does”? Weiher makes an interesting claim: the reason we have so much code is Glue Code, the code that connects everything together. It’s “invisible and massive”; it’s “deemed not important”; and, perhaps most important, it’s “quadratic”: the glue code is proportional to the square of the number of things you need to glue. That feels right; and in the past few years, we’ve become increasingly aware of the skyrocketing number of dependencies in any software project significantly more complex than “Hello, World!” We can all add our own examples: the classic article Hidden Technical Debt in Machine Learning Systems show ....
Is there still research to be done in Programming Languages? This essay touches both on the topic of programming languages and on the nature of research work. I am mostly concerned in analyzing this question in the context of Academia, i.e. within the expectations of academic programs and research funding agencies that support research work in the STEM disciplines (Science, Technology, Engineering, and Mathematics). This is not the only possible perspective, but it is the one I am taking here. PLs are dear to my heart, and a considerable chunk of my career was made in that area. As a designer, there is something fundamentally interesting in designing a language of any kind. It’s even more interesting and gratifying when people actually start exercising those languages to create non-trivial software systems. As a user, I love to use programming languages that I haven’t used before, even when the languages in question make me curse every other line. ....