by Staff Writers
Washington DC (SPX) Mar 16, 2014
During the past decade information technologies have driven the productivity gains essential to U.S. economic competitiveness, and computing systems now control significant elements of critical national infrastructure.
As a result, tremendous resources are devoted to ensuring that programs are correct, especially at scale. Unfortunately, in spite of developers' best efforts, software errors are at the root of most execution errors and security vulnerabilities.
To help improve this state, DARPA has created the Mining and Understanding Software Enclaves (MUSE) program. MUSE seeks to make significant advances in the way software is built, debugged, verified, maintained and understood.
The collective knowledge gleaned from MUSE's efforts would facilitate new mechanisms for dramatically improving software correctness, and help develop radically different approaches for automatically constructing 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," said Suresh Jagannathan, DARPA program manager.
"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."
Central to MUSE's approach is the creation of a community infrastructure that would incorporate a continuously operational specification-mining engine.
This engine would leverage deep program analyses and foundational ideas underlying big data analytics to populate and refine a database containing inferences about salient properties, behaviors and vulnerabilities of the program components in the corpus. If successful, MUSE could provide numerous capabilities that have so far remained elusive.
"Ideally, we could enable a paradigm shift in the way we think about software construction and maintenance, replacing the existing costly and laborious test/debug/validate cycle with 'always on' program analysis, mining, inspection and discovery," Jagannathan said.
"We could see scalable automated mechanisms to identify and repair program errors, as well as tools to efficiently create new, custom programs from existing components based only a description of desired properties."
Mining and Understanding Software Enclaves (MUSE)
Space Technology News - Applications and Research
|The content herein, unless otherwise known to be public domain, are Copyright 1995-2014 - Space Media Network. All websites are published in Australia and are solely subject to Australian law and governed by Fair Use principals for news reporting and research purposes. AFP, UPI and IANS news wire stories are copyright Agence France-Presse, United Press International and Indo-Asia News Service. ESA news reports are copyright European Space Agency. All NASA sourced material is public domain. Additional copyrights may apply in whole or part to other bona fide parties. Advertising does not imply endorsement, agreement or approval of any opinions, statements or information provided by Space Media Network on any Web page published or hosted by Space Media Network. Privacy Statement All images and articles appearing on Space Media Network have been edited or digitally altered in some way. Any requests to remove copyright material will be acted upon in a timely and appropriate manner. Any attempt to extort money from Space Media Network will be ignored and reported to Australian Law Enforcement Agencies as a potential case of financial fraud involving the use of a telephonic carriage device or postal service.|