
doi: 10.1109/2.642820
The key technology that the author would like to see adopted by the masses is a family of software fault injection algorithms that can predict where to concentrate testing. From a novelty standpoint, these algorithms were (and still are) unique among other methods of performing fault injection. The author concedes that the algorithms are computational, but the results can provide unequaled information about how "bad things" propagate through systems. Because of that, he thinks fault injection methods are valuable to anyone responsible for software quality, including those working in one-person independent software vendors (ISVs) or even the largest corporations.
| selected citations These citations are derived from selected sources. 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). | 25 | |
| 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 |
