October, November the Worst Months For Writing Buggy Code
chicksdaddy writes "Data from application testing firm Veracode suggests that the quality of application code submitted for auditing is pretty much constant throughout the year — except for the months of October and November, when the average density of vulnerabilities in the code jumps considerably. But why? Is it the pressure of deadlines? The stress of developers' lives (kids back to school, etc.)?"
Why do they warn us in December?
You guys have kids?
Okay like so many other Slashdot readers, I only read the headline...so what month is a GOOD month in which to write buggy code?
Are there other jobs that have their job performance drop considerably during these two months?
If not, what can be used to explain this anomaly? Bogus study? Something unique to programmers?
Is it consistent throughout IT? Are there more reliability issues that can be traced to those months?
I've studied this stuff, it's down to STUPID programmers. Hire people that can type properly. This was everybody wins ...
The purpose of existence is to make money.
Most businesses I've seen, a list of things to do is drawn up in the beginning of the year and set as a goal. Achieving those goals goes into consideration for how one did in a year, bonus, next year's budget etc. The list is usually unrealistic due to pressure from above (or other executives whose title may be the same level as the CTO/CIO, but who are for all intents and purposes, at a higher level due to being so-called "profit centers"). The code base being built on is usually old and broken, the equipment it runs on not the best, the team so-so with a few bright people, and a lot of dumb managers. Things not counted in the schedule are long-time experienced employees getting fed up and leaving, equipment breakdowns, bugs and emergencies that have to be dealt with, or business units who change what they want all year long from the original specification. Plus other things - a third party product is bought, and is very difficult to integrate in the existing system, with more time than initially planned for. By October not many things on the year-end checklist are done and the CTO starts having meetings and banging on the table that he needs checks on the lists to show the CEO what his team has done this year. So people stop writing good, long-term code and start writing crap, so they can check off the list for the end of the year. Things slow down by the end of December, that a few things on the list won't get done becomes accepted, people go on Christmas vacation. That's why bugs go in in October/November.
Couple of reasons from the office I work at - end of year deadlines means code gets rushed in Oct/Nov in order for testing and review before Christmas. Also, those of us who haven't taken all of our vacation time yet are forced to take time off, disrupting projects. Last minute client changes (to the projects due at the end of the year) add to the pile. And, the stress of the holidays plays a part as well (mostly because we're asocial geeks who are dreading the onslaught of family get-togethers and forced social situations). Usually by December, we've got our projects off for review and testing so there isn't much code being written, and the code that is being written is in response to problems and is a chance to take rushed, bad code and make it a little bit less bad. That's my little piece of anecdotal evidence.
All you need to do is simulate the four wheels, and add a rigid body that can be approximated to a box for the main chasis. If you want to get fancy, you can use a polygonal mesh. Then you can use any old physics engine, and presto... you have a buggy.
It's writing the code for the horses that's a real bitch. There's AI and stuff, and figuring out how the horse should react emotionally to various situations... THAT'S one hell of a challenge.
File under 'M' for 'Manic ranting'
Should read "October, November are the *best* days for writing buggy code." They're the worst days, apparently, for writing bug-free code.
Oliver's law of assumed responsibility: If you're seen fixing it, you will be blamed for breaking it.