
Even if a system's hardware and software underpinnings are completely reliable, errors at the user interface can cripple or destroy a mission, often with catastrophic consequences. Little attention has been paid to handling faults and errors at the user interface their causes and remediations are little understood and methods of predeployment fault detection in user interfaces are almost nonexistent. The paper presents a working definition of a user interface defect, and a robust method for detecting defects automatically. An experimental methodology for empirical testing and validation is given. Results show that while manifestations of defects may be many, only a few root causes are responsible for them. >
| 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). | 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. | Top 10% |
