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Tool use within NASA software quality assurance

Show simple item record Shigeta, Denise Port, Dan Nikora, Allen P. Wilf, Joel 2013-05-29T23:23:28Z 2013-05-29T23:23:28Z 2013-01-07
dc.identifier.citation Hawaii International Conference on System Sciences, Maui, Hawaii, January 7, 2013. en_US
dc.identifier.clearanceno 12-5609
dc.description.abstract As space mission software systems become larger and more complex, it is increasingly important for the software assurance effort to have the ability to effectively assess both the artifacts produced during software system development and the development process itself. Conceptually, assurance is a straightforward idea – it is the result of activities carried out by an organization independent of the software developers to better inform project management of potential technical and programmatic risks, and thus increase management’s confidence in the decisions they ultimately make. In practice, effective assurance for large, complex systems often entails assessing large, complex software artifacts (e.g., requirements specifications, architectural descriptions) as well as substantial amounts of unstructured information (e.g., anomaly reports resulting from testing activities during development). In such an environment, assurance engineers can benefit greatly from appropriate tool support. In order to do so, an assurance organization will need accurate and timely information on the tool support available for various types of assurance activities. In this paper, we investigate the current use of tool support for assurance organizations within NASA, and describe on-going work at JPL for providing assurance organizations with the information about tools they need to use them effectively. en_US
dc.description.sponsorship NASA/JPL en_US
dc.language.iso en_US en_US
dc.publisher Pasadena, CA : Jet Propulsion Laboratory, National Aeronautics and Space Administration, 2012. en_US
dc.subject software assurance tools en_US
dc.subject software assurance en_US
dc.title Tool use within NASA software quality assurance en_US
dc.type Preprint en_US

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