Software engineers at the U.S. Defense Advanced Research Projects Agency (DARPA) in Arlington, Va., issued a broad agency announcement (DARPA-BAA-14-22) on Tuesday for the Mining and Understanding Software Enclaves (MUSE) program, which focuses on program analysis, verification, and big data analytics for specifying, discovering, and understanding properties of complex software systems.
DARPA will brief industry on MUSE program details from 9 a.m. to 2:15 p.m. on 7 March 2014 at the DARPA Conference Center, 675 North Randolph St., in Arlington, Va. Those who would like to attend the briefings must register no later than 28 Feb. 2014.
Related: DARPA to brief industry March 7 on MUSE project that aims at big-code software engineering
Despite the tremendous resources devoted in recent years to making software more robust and resilient, ensuring that programs are correct -- especially large programs -- remains difficult and challenging, DARPA officials say.
Programming errors can lead to crippling security violations, unexpected runtime failure, or unintended behavior -- all of which can compromise military mission-critical systems.
Determining the correctness of a program requires a precise understanding of its intended behavior, and ways to describe this understanding precisely. The goal of the MUSE program is to advance the way software is built, debugged, verified, maintained, and understood.
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The MUSE program has five core areas: evaluator; artifact generators; mining engine; analytics; and infrastructure. DARPA researchers will award one contract for the evaluator and infrastructure areas, and several awards each for artifact generators, mining engine, and analytics.
The evaluator portion of the MUSE program involves providing benchmarks and challenge problems to performers for the artifact generators, mining engine, and analytics portions of the program.
Artifact generators involves populating the database with facts, evidence, conjectures, and inferences about the program's binary code, and support for binary analysis and decompilation.
Mining engine involves building and maintaining a persistent graph database store containing the facts, evidence, conjectures, and inferences from the artifact generators.
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Analytics involves generating global inferences from the data captured within the database, and applying these inferences on problems related to checking, repair, learning, and synthesis.
Infrastructure, meanwhile, involves integrating the MUSE program, providing facilities, and the tools, implementations, and systems developed by other MUSE teams.
Companies interested should send proposals to DARPA n later than 15 April 2014. Email questions or concerns to the DARPA MUSE program manager, Suresh Jagannathan, at [email protected].
More information is online at https://www.fbo.gov/spg/ODA/DARPA/CMO/DARPA-BAA-14-22/listing.html.
