Code Quality In Open and Closed Source Kernels
Diomidis Spinellis writes "Earlier today I presented at the 30th International Conference on Software Engineering a research paper comparing the code quality of Linux, Windows (its research kernel distribution), OpenSolaris, and FreeBSD. For the comparison I parsed multiple configurations of these systems (more than ten million lines) and stored the results in four databases, where I could run SQL queries on them. This amounted to 8GB of data, 160 million records. (I've made the databases and the SQL queries available online.) The areas I examined were file organization, code structure, code style, preprocessing, and data organization. To my surprise there was no clear winner or loser, but there were interesting differences in specific areas. As the summary concludes: '..the structure and internal quality attributes of a working, non-trivial software artifact will represent first and foremost the engineering requirements of its construction, with the influence of process being marginal, if any.'"
Or the summary is completely incomprehensible?
Of course, I could try to RTFA, but hey, this is Slashdot, after all...
No sig for the moment.
That you have neither capitalized on your shared synergies, nor have you recovered your cherished paradigms.
Oh. Wait. This is about propeller-head stuff rather than management stuff. Lemme get my "Handbook of postmodern buzz words"...
"If god did not exist, it would be necessary to invent him" --Voltaire
Final line in the paper: "Therefore, the most we can read from the overall balance of marks is that open source development approaches do not produce software of markedly higher quality than proprietary software development."
Interesting, but not shocking for those who have worked with disciplined commercial teams. I wonder what the results would be in less critical areas than the kernel, say certain types of applications.
..that Open Source code is of quality, but at least the point of things like the GPL is that you have the power to change that, and improve that code..
"The OpenSolaris kernel was a welcomed surprise: it was the only body of source code that did not require any extensions to CScout in order to compile."
Given that the Solaris kernel has been compiled by two very different compilers (Sun Studio, of course, and gcc), it isn't that surprising. Because of the compiler issues, it is likely the most ANSI compliant of the bunch.
If I am understanding correctly, you were looking for 'winners' and 'losers' (weasel words in and of themselves, but anyway...) in terms of 'quality' (another semi-subjective term that could make someone go crazy and drive motorcycles across the country for the rest of their lives).
You found that '..the structure and internal quality attributes of a working, non-trivial software artifact will represent first and foremost the engineering requirements of its construction, with the influence of process being marginal, if any.' -- or in plain English: "the app specs had a much bigger influence when compared to internal efficiencies".
I would wonder if you're just seeing a statistical wash-out. Are you dealing with data sets (tens of millions of lines and thousands of functions) that are so large, that patterns simply get washed out in the analysis?
Oh dear, my post is no more clear than the summary...
davejenkins.com |
Well, you lose your bet, been over five minutes and no anti Microsoft screeds let alone spelling it with a $.
Just so everyone understands, the tactic used here is known as "Poisoning the well." The idea is the discredit an argument's source before the argument is presented. Here, our AC friend is trying to ward off criticism of Microsoft by insinuating that anyone who does so is a 13 year old "Slashbot."
The fallacy is in the fact that even someone who is 13 and often goes along with the Slashdot zeitgeist may still have legitimate criticisms of Microsoft, such as the fact that Microsoft sucks giant hairy donkey balls.
- None can love freedom heartily, but good men; the rest love not freedom, but license. -- John Milton
I'm sorry, but if this is what passes for serious academic computer-science work, close the schools. This all appears to boil down to: quality code (definition left to the reader) is produced by good programmers (can't define, but I know one when I see his/her code) who are given the time to produce quality code. Rushed projects by teams of average-to-crappy programmers results in low-quality code. All the tools and management theories in the world have little impact on this basic fact of life. My PhD, please?
So while looking at the data collected, I had to wonder if some of the conclusions reached were not something of a matter of weighting - I saw some things pretty troubling about the WRK. Among the top of my list was a 99.8% global function count!!!
This would explain some things like lower LOC count - after all, if you just have a bunch of global functions there's no need for a lot of API wrapping, you just call away.
I do hate to lean on LOC as any kind of metric but - even besides that, the far lower count of Windows made me wonder how much there, is there. Is the Windows kernel so much tighter or is it just doing less? That one metric would seem to make further conclusions hard to reach since it's such a different style.
Also, on a side note I would say another conclusion you could reach is that open source would tend to be more readable, with the WRK having a 33.30% adherence to code style and the others being 77-83%. That meshes with my experience working on corporate code, where over time coding styles change on more of a whim whereas in an open source project, it's more important to keep a common look to the code for maintainability. (That's important for corporate code too - it's just that there's usually no-one assigned to care about that).
"There is more worth loving than we have strength to love." - Brian Jay Stanley
If good code and bad code were a simple automated analysis away, don't you think everyone would be doing it? What methodolgy could possibly give a quantitative weighting for "quality"?
"To my surprise there was no clear winner or loser..." Not really a surprise at all, actually.
The WRK is under the Microsoft Windows Research Kernel Source Code License. I'm not sure that this license conforms with anyones definition of open source, but it's reasonably free for reasearch.
But PP addresses a crucial point, if something really is closed source there is no reviewable way to compare and present this code. So if the WRK would be total crap they could always say: yes that's only the WRK, not the real kernel.
Only statements about open source code are directly verifiable/falsifiable. One of the reasons, why the FOSS approach is superior from a scientific as well as technical point of view.
"Hannibal's plans never work right. They just work." Amy/A-Team
People make claims about the need for closed source all the time, usually revolving around the need to a predictable level of quality, or some other factor. The fact is, this results proves that its a wash whether you choose open or closed--so why not choose open?
There's a deep significance here I'm failing to capture completely. Someone else word it better if they can. But there didn't need to be some blow-out victory of open source over closed source for this to be a victory. All open source needed to do was compare--which it did, clearly--with closed source, in terms of value, to secure its worth.
I haven't seen anybody else comment on the fact that the statement that the quality of the code had more to do with the engineering than the process through which the code was developed is quite interesting.
;)
From my personal experiences, it typically seems code is written to solve a specific need. Said another way, in the pursuit of solving a given problem, whatever engineering is required to solve the problem must be accomplished - if existing solutions to problems can be recognized, they can be used (for example, Gang of Four/GOF patterns), otherwise, the problem must have a new solution engineered.
Seeing as how there are teams successfully developing projects (with both good, and bad code quality) using traditional OO/UML modeling, the software development life-cycle, capability maturity model, scrum, agile, XP/pair programming, and a myriad of other methods, it would seem to be that what the author is saying is, it didn't necessarily matter which method was used, it was how the solution was actually built (the.. robustness of the engineering) that mattered.
Further clarification on the difference between engineering and "process" would strengthen this paper.
I went to a Microsoft user group event some time ago - and the presenter described what they believed the process of development of code quality looked like. They suggested the progression of code quality was something like:
crap -> slightly less crappy -> decent quality -> elegant code.
Sometimes, your first solution at a given problem is elegant.. sometimes, it's just crap.
Anyways, just my two cents. Maybe two cents too many..
SixD
The metrics used in this paper are lame. They're things like "number of #define statements outside header files" and such.
Modern code quality evaluation involves running code through something like Purify, which actually has some understanding of C and its bugs. There are many such tools. This paper is way behind current analysis technology.
Sorry, I've been in the business for over 25 years and had to hear one pin head after another spout about code quality or productivity. Its all subjective at best.
The worst looking piece of spaghetti code could have fewer bugs, be more efficient, and be easier to maintain than the most modular object oriented code.
What is the "real" measure of quality or productivity? Is it LOC? No. Is it overall structure? no. Is it the number of "globals?" maybe not.
The only real measure of code is the pure and simple darwinian test of survival. If it lasts and works, its good code. If it is constantly being rewritten or is tossed, it is bad code.
I currently HATE (with a passion) the current interpretation of the bridge design pattern so popular these days. Yea, it means well, but it fails in implementation by making implementation harder and increasing the LOC benchmark. The core idea is correct, but it has been taken to absurd levels.
I have code that is over 15 years old, almost untouched, and still being used in programs today. Is it pretty? Not always. Is it "object oriented" conceptually, yes, but not necessarily. Think the "fopen,"fread," file operations. Conceptually, the FILE pointer is an object, but it is a pure C convention.
In summation:
Code that works -- good.
Code that does not -- bad.
That works the other way too... the real windows kernel could be full of shit, and they would look better for the review of the WRK.
For large sets, this will be our guide even unto death, for the LORD will work for each type of data it is applied to...