To date we have developed and applied numerous model-based GUI testing techniques; however, we are unable to provide definitive improvement schemes to real-world GUI test planners, as our data was derived from open source applications, small compared to industrial systems. This paper presents a study of three industrial GUI-based software systems developed at ABB, including data on classified defects detected during late-phase testing and customer usage, test suites, and source code change metrics. The results show that (1) 50% of the defects found through the GUI are categorized as data access and handling, control flow and sequencing, correctness, and processing defects, (2) system crashes exposed defects 12-19% of the time, and (3) GUI and non-GUI components are constructed differently, in terms of source code metrics.
Penelope A. Brooks, Brian P. Robinson, Atif M. Mem