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2013 IEEE 24th International Symposium on Software Reliability Engineering (ISSRE) (2004)
Saint-Malo, Bretagne, France
Nov. 2, 2004 to Nov. 5, 2004
ISSN: 1071-9458
ISBN: 0-7695-2215-7
pp: 429-439
Laurie Williams , North Carolina State University, Raleigh, NC
Will Snipes , Nortel Networks, Software Dependability Design (SWDD), Research Triangle Park, NC
John Hudepohl , Nortel Networks, Software Dependability Design (SWDD), Research Triangle Park, NC
Nachiappan Nagappan , North Carolina State University, Raleigh, 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.
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CITATION
Laurie Williams, Will Snipes, John Hudepohl, Nachiappan Nagappan, Mladen Vouk, "Preliminary Results On Using Static Analysis Tools For Software Inspection", 2013 IEEE 24th International Symposium on Software Reliability Engineering (ISSRE), vol. 00, no. , pp. 429-439, 2004, doi:10.1109/ISSRE.2004.30
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