New submitter troublemaker_23 quotes a report from ITWire: Only 36% of software engineers in India can write compilable code based on measurements by an automated tool that is used across the world, the Indian skills assessment company Aspiring Minds says in a report. The report is based on a sample of 36, 800 from more than 500 colleges across India. Aspiring Minds said it used the automated tool Automata which is a 60-minute test taken in a compiler integrated environment and rates candidates on programming ability, programming practices, run-time complexity and test case coverage. It uses advanced artificial intelligence technology to automatically grade programming skills. “We find that out of the two problems given per candidate, only 14% engineers are able to write compilable codes for both and only 22% write compilable code for exactly one problem, ” the study said. It further found that of the test subjects only 14.67% were employable by an IT services company. When it came to writing fully functional code using the best practices for efficiency and writing, only 2.21% of the engineers studied made the grade. Read more of this story at Slashdot.
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Only 36 Percent of Indian Engineers Can Write Compilable Code, Says Study
JustAnotherOldGuy writes: According to a recent report by the Financial Times (paywalled), some of the top credit rating companies are now using people’s social media accounts to assess their ability to repay debt. “If you look at how many times a person says ‘wasted’ in their profile, it has some value in predicting whether they’re going to repay their debt, ” Will Lansing, chief executive at credit rating company FICO, told the Financial Times. “It’s not much, but it’s more than zero.” According to the Financial Times, both FICO and TransUnion have had to find “alternative ways” to assess people who don’t have a traditional credit profile — including people who haven’t borrowed enough to give creditors an idea of what kind of risk they pose. Read more of this story at Slashdot. 
mask.of.sanity writes “Life could become more difficult for fraudsters on Skype thanks to new research by Microsoft boffins that promises to cut down on fake accounts across the platform. The research (PDF) combined information from diverse sources including a user’s profile, activities, and social connections into a supervised machine learning environment that could automate the presently manual tasks of fraud detection. The results show the framework boosted fraud detection rates for particular account types by 68 per cent with a 5 per cent false positive rate.” Read more of this story at Slashdot. 