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Saint-Malo, Bretagne, France
Nov. 2, 2004 to Nov. 5, 2004
ISBN: 0-7695-2215-7
pp: 429-439
Nachiappan Nagappan , North Carolina State University, Raleigh, NC
Laurie Williams , North Carolina State University, Raleigh, NC
John Hudepohl , Nortel Networks, Software Dependability Design (SWDD), Research Triangle Park, NC
Will Snipes , Nortel Networks, Software Dependability Design (SWDD), Research Triangle Park, NC
Mladen Vouk , North Carolina State University, Raleigh, NC
ABSTRACT
Software inspection has been shown to be an effective defect removal practice, leading to higher quality software with lower field failures. Automated software inspection tools are emerging for identifying a subset of defects in a less labor-intensive manner than manual inspection. This paper investigates the use of automated inspection for a large-scale industrial software system at Nortel Networks. We propose and utilize a defect classification scheme for enumerating the types of defects that can be identified by automated inspections. Additionally, we demonstrate that automated code inspection faults can be used as efficient predictors of field failures and are effective for identifying fault-prone modules.
INDEX TERMS
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CITATION
Nachiappan Nagappan, Laurie Williams, John Hudepohl, Will Snipes, Mladen Vouk, "Preliminary Results On Using Static Analysis Tools For Software Inspection", ISSRE, 2004, 15th International Symposium on Software Reliability Engineering, 15th International Symposium on Software Reliability Engineering 2004, pp. 429-439, doi:10.1109/ISSRE.2004.30
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