Detecting software errors via genetic algorithms
Wednesday, March 5, 2014 - 09:40
in Mathematics & Economics
According to a current study from the University of Cambridge, software developers are spending about the half of their time on detecting errors and resolving them. Projected onto the global software industry, according to the study, this would amount to a bill of about 312 billion US dollars every year. "Of course, automated testing is cheaper", explains Andreas Zeller, professor of Software Engineering at Saarland University, as you could run a program a thousand times without incurring any charges. "But where do these necessary test cases come from?", asks Zeller. "Generating them automatically is tough, but thinking of them yourself is even tougher".