Communications of the ACM
DARPA to Mine 'big Code' to Improve Software Reliability
The U.S. Defense Advanced Research Projects Agency's Mining and Understanding Software Enclaves (MUSE) program is aimed at developing new ways to enhance software correctness and helping to devise strategies for automatically building and repairing comple
Credit: DARPA
The U.S. Defense Advanced Research Projects Agency (DARPA) seeks to address the problems of software defects that underlie most system errors and security vulnerabilities through its Mining and Understanding Software Enclaves (MUSE) program.
DARPA says the objective of MUSE is to develop new ways of drastically enhancing software correctness and help devise radically different strategies for automatically building and repairing complex software. "Our goal is to apply the principles of big data analytics to identify and understand deep commonalities among the constantly evolving corpus of software drawn from the hundreds of billions of lines of open source code available today," says DARPA program manager Suresh Jagannathan. "We're aiming to treat programs--more precisely, facts about programs--as data, discovering new relationships [enclaves] among this 'big code' to build better, more robust software."
DARPA says MUSE aims to generate a community infrastructure that incorporates a specification-mining engine that is in continuous operation and employs "deep program analyses and big data analytics to create a public database containing...inferences about salient properties, behaviors, and vulnerabilities of software drawn from the hundreds of billions of lines of open source code available today."
From Government Computer News
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