Agree with pretty much everything inside this. The big difference I note however is that my experiences with running searchcode.com suggest that for public search engines that closer to 60% of searches appear to be "How to use a function". By contrast 60% of API calls appear to be looking for AWS keys, passwords and exploits.
This is probably totally different to search working over internal codebases however.
I must confess... I was originally looking from a vanity point of view and have mixed feelings to see that searchcode was mentioned in the references but not linked.
Kind of funny that this is coming from Google considering how bad Google has become for code search. I wish there was a way to turn off the "I'm ignoring what you searched for and returning what I think you meant." feature.
Indeed and the "I know you put it in quotes but I'm going to return none-literal matches as well".
I guess the fundamental problem here is that optimising for one group sometimes comes at the expense of another and statistically we (meaning developers) just aren't a big enough group to matter.
these days when doing code searches I often just add site:github.com to my search criteria, more often than not there is some project somewhere that is using the API / toolkit I am interested in, with this or site:stackoverflow / stackexchange I can usually find what I need fairly quickly
Yeah, I personally don't like this behaviour either. However, paper specifically talks about internal code search tool, which is really pretty amazing, especially when it comes to finding and jumping to references.
I imagine typing a code comment in my text-editor before I start writing the code (e.g., calculate fibonacci sequence) and my editor (on a machine connected to the internet) populates with sample open-source code in my language (inferred from the file extension, or shebang, etc), that I can use as a boilerplate and make changes. The populated code is one search result, with the option to look at second most relevant result, third-most relevant and so on. And it shows the source url where I can go for details.
I think something like this with rosetta-code snippets is very doable (a weekend project, assuming you're good with your editor's programmability).
It's unfortunately only for Visual Studio but Microsoft created an extension called "Developer Assistant" which does precisely that using code from MSDN, StackOverflow, GitHub, and also local sources. They boast "over 21 million code samples".
25% of the total is documentation related .. Thats really interesting ... A 'smartly designed' documentation website can cater to 25% of total development queries ?
Good documentation can do more than that I think, take http://knockoutjs.com/ there documentation is incredible, I went from not been able to use it at all to using it comfortably in a week or two and most of the questions I've had since have been answered by the docs.
It's pretty much the standard I'll aim in my own documentation in the future, lean, precise and covers the main cases with useful examples.
The issue I think is that the documentation which is separated from code can easily go out of sync with the actual code, so it's worth to make writing documentation alongside the code as easy as possible, while trying not to obscure the code itself too much.
I'd argue that for public APIs (defined as API users don't site next to/are the same as the API devs) this concern with "getting out of date" is moot compared to the benefit of detailed docs.
If anything, it's the API signatures that get out of sync with the user's needs. And as anyone who's ever tried to deprecate public APIs will know, it's a real pain, frustrating to users and devs alike.
This is probably totally different to search working over internal codebases however.
I must confess... I was originally looking from a vanity point of view and have mixed feelings to see that searchcode was mentioned in the references but not linked.