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https://github.com/evnm/research-in-production

A collection of research papers categorized by real-world systems that enact them
https://github.com/evnm/research-in-production

computer-science literature paper research

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A collection of research papers categorized by real-world systems that enact them

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README 

        
# Research In Production



A collection of computer science and engineering research papers

categorized by real-world systems that enact them.



## FAQ



### What is this?



Engineering as a discipline is driven by a healthy balance between

research and development. Within the realm of computer science and

engineering, I think that there is too often a disconnect between the

two halves of this equation. The research side is often accused of

lacking context to the trials and tribulations of "real-world"

developers. Conversely, developers largely take for granted the debt

owed to the researchers upon whose work they rely.



Research In Production is an attempt to bolster appreciation for the

research side of R&D by shedding light on some of the academic and

industrial research behind commonly-used softare systems.



Most non-trivial software systems* are powered by concepts and

techniques that came into being after a group of people put a lot of

effort into thinking their way through a tough problem. These concepts

are typically hidden beneath the surface of abstractions and are thus

not easily appreciable. When writing a program, you probably don't

have time or motivation to dig into exactly how a data structure

handles concurrency or what happens to all the objects you're wantonly

creating.



This project is for those that want to go deeper, whether for the

simple satisfaction of knowing how a thing works or to

[level up](https://mechanical-sympathy.blogspot.com/2011/07/why-mechanical-sympathy.html)

their ability to build systems.



The common wisdom directed at newcomers looking to get involved in

open source software is to pick a project that they use and contribute

to it by knocking out documentation and tests. Along similar lines, I

think a good way to dip one's toes into research literature is to dig

into papers related to systems that they already use. This could

involve some aspect of a programming language, a library, or a

database that you've used to build something in the past.



Every software developer benefits from academic and industrial

research. Research In Production is for those that want to know how.



\* "System" is a generic term. Programming languages are highlighted

in the first rendition of this project, but this approach could just

as easily be applied to any technological artifact.



### But Papers We Love is already a thing!



[Papers We Love](http://paperswelove.org/) is fantastic. Research In

Production shares its motivations in fostering community around

publications, but with a narrower focus on publications that directly

relate to commonly-used software systems.



Ideally this project would _complement_ PWL by organizing a subset of

its literature by the systems that put it into practice.



### Where do the lists come from?



If you know of a software project that leverages research topics in

production systems, then it warrants a spot in this project.



Research In Production was seeded with content from existing lists put

together by [Alex Denisov](https://github.com/AlexDenisov) and

[Matt Warren](https://github.com/mattwarren/). I added

[a list for a project that I used to work on](https://github.com/evnm/research-in-production/blob/master/finagle.md)

and I encourage you to do the same.



## Contributing



See

[CONTRIBUTING.md](https://github.com/evnm/research-in-production/blob/master/CONTRIBUTING.md).