NASA JPL selects Coverity to find defects in 2 million lines of mission-critical flight software on Curiosity rover

Aug. 27, 2012
SAN FRANCISCO, 27 Aug. 2012. NASA Jet Propulsion Laboratory (JPL) software developers working on the Mars Science Laboratory (MSL) Curiosity rover chose Coverity software technology to detect defects in mission-critical flight software responsible for guiding Curiosity’s landing on Mars.

SAN FRANCISCO, 27 Aug. 2012.NASA Jet Propulsion Laboratory (JPL) software developers working on the Mars Science Laboratory (MSL) Curiosity rover chose Coverity software technology to detect defects in mission-critical flight software responsible for guiding Curiosity’s landing on Mars.

NASA JPL developers needed to find every software defect in the Curiosity rover’s software before launch. They used Coverity technology to analyze more than 2 million lines of code in the software that controls the flight and onboard functions of the Curiosity rover.

“Given the mission-critical nature of Curiosity, the software powering the rover must be reliable and free of software defects. A single defect could mean the difference between success and failure of the $2.5 billion NASA mission and impair its ability to assess the possibility of life on Mars,” says a spokesperson.

NASA JPL has used static analysis as a key part of the code review process, from the inception of the NASA Mars Science Laboratory mission, to ensure the success of one of the most complex missions ever undertaken by NASA and the reliability of one of the most complex machines ever sent into space.

"The use of Coverity technology in mission-critical projects with zero tolerance for error is a testament to our unique ability to quickly detect unpredictable and traditionally hard to spot software defects," says Jennifer Johnson, vice president of marketing at Coverity.

The Coverity Static Analysis development testing solution leverages analysis techniques for finding and eliminating code defects early in the software-development life cycle, as the code is being written, when they are the easiest and least expensive to find and fix.

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