Automatic Event Detection for Software Product Quality Monitoring

Bijlsma, Dennis; Correia, José Pedro; Visser, Joost

doi:10.1109/quatic.2012.22

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2015

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“…Our research extends prior work on software product quality monitoring by Bijlsma et al [4] which defined a process for detecting interesting events in streams of quality attribute metric values. However, instead of looking at metric values we define an interesting event to be the use of a component with a known security vulnerability.…”

Section: Related Workmentioning

confidence: 53%

Tracking known security vulnerabilities in proprietary software systems

Cadariu

Bouwers²,

Visser

et al. 2015

2015 IEEE 22nd International Conference on Software Analysis, Evolution, and Reengineering (SANER)

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Known security vulnerabilities can be introduced in software systems as a result of being dependent upon third-party components. These documented software weaknesses are "hiding in plain sight" and represent low hanging fruit for attackers. In this paper we present the Vulnerability Alert Service (VAS), a tool-based process to track known vulnerabilities in software systems throughout their life cycle. We studied its usefulness in the context of external software product quality monitoring provided by the Software Improvement Group, a software advisory company based in Amsterdam, the Netherlands. Besides empirically assessing the usefulness of the VAS, we have also leveraged it to gain insight and report on the prevalence of third-party components with known security vulnerabilities in proprietary applications.

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Section: Related Workmentioning

confidence: 53%