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Abstract Safety has often been equated with reliability and robustness. However, safety needs to be treated as a separate and important system quality. In this paper, software safety is distinguished from these other qualities and formally defined. The paper also examines the possibility of using three different verification approaches — state machines, temporal logic, and fault trees — to verify software safety.
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 9 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |