We speak routinely of software crashing, but we dont give those events nearly the level of scrutiny that we give to real-world crashes. An airplane crash triggers a painstaking investigation. When software fails, the user is told to hope that it works the next time. Is this any way to run an airline?
This jarring difference in “crash” response has mostly been ignored. I do remember a comment, late in the 1980s, by one advocate of advanced software development environments: He compared C and C++ developers trying to diagnose a software failure to arson investigators roaming through the charred and smoking debris in search of a recognizable fragment of the match. Even at that time, there were superior counterexamples such as the Lisp machine—but relentless price pressures in the workstation market, not to mention the growing capability of PCs, drove developers down a path of false economy toward lower-cost tools that did much lower-quality work.
One gallows humorist at Microsoft actually named a tool CRASH— for Comparative Reliability Analysis of Software and Hardware—and promised developers, among other things, the ability to calculate “a final score other than pass or fail.” Frankly, I dont understand that proposition at all: It seems to me that software either meets its specification, including a level of reliability sufficient to the intended task, or it does not.
Whats between “pass” and “fail”? Would you ship a product rated “tolerate”?
Perhaps its reasonable, though, to take a different view of mass-market software, with consumers already having some intuitive understanding of the “get what you pay for” difference between, for example, a Toyota and a Lexus. Even so, from what I can see, it appears that the real difference is not that a Lexus is more reliable, but rather that with the Lexus, youve paid in advance for a higher level of hand-holding when something does go wrong. Thanks, but Ill keep driving my apparently crash-proof Sienna, and Ill keep choosing software thats reliable over software that offers extra bells and whistles.
In the realm of software, the move to a service-based architecture offers developers a more granular opportunity to vote for their own preferred trade-off between doing more and failing less. Improved tools are emerging for developers. Late last week, for example, I saw the most recent version of Mindreefs SOAPscope, and found the newly released Version 4 update making important improvements to support developers throughout a Web services life cycle.
In the long run, a UDDI (Universal Description, Discovery and Integration) repository may offer a Web service aggregator several choices of services that meet an applications needs. One has to wonder if repository metadata will soon include statistically based ratings of service availability, accuracy and other metrics of performance history for that particular Web service offering. If Consumer Reports can gather and publish reliability histories for automobiles, will someone build testbed applications that invoke various common Web services from different providers and systematically record their response?
Its getting cheaper to gather data, in this as in every other realm. The IEEE, for example, announced last week its first standard for automobile “black box” recorders to give post-crash data to accident investigators, such as that available following aircraft accidents.
Web services should enjoy no less.
Tell me what you want to know after the crash at firstname.lastname@example.org.
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