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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Gegick, M. Williams, L. |
| Copyright Year | 2007 |
| Description | Author affiliation: North Carolina State Univ., Raleigh (Gegick, M.; Williams, L.) |
| Abstract | Extensive research has shown that software metrics can be used to identify fault- and failure-prone components. These metrics can also give early indications of overall software quality. We seek to parallel the identification and prediction of fault- and failure-prone components in the reliability context with vulnerability- and attack-prone components in the security context. Our research will correlate the quantity and severity of alerts generated by source code static analyzers to vulnerabilities discovered by manual analyses and testing. A strong correlation may indicate that automated static analyzers (ASA), a potentially early technique for vulnerability identification in the development phase, can identify high risk areas in the software system. Based on the alerts, we may be able to predict the presence of more complex and abstract vulnerabilities involved with the design and operation of the software system. An early knowledge of vulnerability can allow software engineers to make informed risk management decisions and prioritize redesign, inspection, and testing efforts. This paper presents our research objective and methodology. |
| Starting Page | 18 |
| Ending Page | 18 |
| File Size | 200849 |
| Page Count | 1 |
| File Format | |
| ISBN | 0769529119 |
| DOI | 10.1109/ICIMP.2007.46 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2007-07-01 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Fault diagnosis Knowledge engineering Software metrics Software quality Inspection Software systems Security Risk analysis Risk management Testing |
| Content Type | Text |
| Resource Type | Article |
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