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Public Council Teleconference: Application Rationalization — Hidden Costs and Smart Decisions
November 17 at 11:00 am US/Eastern (GMT-5)
Join Honorio Padrón, of The Hackett Group, who will share the drivers for companies to tackle application rationalization and the results of research that define the hidden cost of complexity. Additionally, we will discuss key decision milestones—to start or not, holding the course steady and fulfilling expectations.
Virtual Desktop Cost-Benefit Analysis — Michael Jacobs, Catlin Group
The analysis contained in this presentation measures the cost of everything from the machines and licenses to the infrastructure for virtual vs. traditional desktop environments.
Honor your best senior team members - Apply for the CIO Ones to Watch Award
Get well-earned public recognition for your top up-and-coming team members, your IT organization and your enterprise. Award winners will be announced, publicized and feted in May 2010, great timing to help attract new IT recruits to your company.
Learn more about the CIO Executive Council »December 11, 2007 — IDG News Service (London Bureau) —
LONDON (12/11/2007) - Coverity, a company that specializes in detecting coding flaws in software, has added a new feature to one of its products that finds problems that can cause multithreaded applications to crash.
Using static code analysis, it aims to find race conditions that can occur when two threads are trying to access the same piece of data, said Ben Chelf, Coverity's CTO. When two threads are running in parallel, it is not always possible to say whether a particular instruction from one thread will run before a given instruction in the other thread, or after it. The two instructions may execute in a different order each time the application is run, Chelf said.
The problems occurs if developers write code that doesn't take into account this possibility, and instructions accessing a shared resource execute in an order the programmer didn't expect. This can crash the application or corrupt data.
Race conditions typically take a long time to diagnose and to patch, Chelf said.
Coverity's tool, which is included in its Prevent SQS product, analyzes code to find inconsistent treatment of a shared piece of data, Chelf said. The tool takes about four to six times as long to analyze the code as it takes to "build" the code, or assemble it into an executable file, Chelf said.
Chelf said the false-positive rate for the tool is less than 15 percent, but that figure never goes down to zero since it's impossible to know exactly how a batch of code will behave until it actually runs.
Prevent SQS is used for analyzing programs written in C, C++ and Java. Chelf said Coverity has been selling its product to embedded developers creating applications for telecommunication and wireless applications, among others.
Prevent SQS starts at US$6,000; the enterprise-level version starts at $35,000.