(an event sequence encodes a user interaction). A major advance in this direction is the use of a black-box model to systematically generate event sequences that are executable on the GUI. The black-box model can be, e.g., an Event Flow Graph (EFG) or an Event Sequence Graph (ESG). In this paper we propose a new approach to select relevant event sequences among the event sequences generated by a blackbox model. We express the relevance of an event sequence by a precisely defined dependency between a fixed number of events in the event sequence. Departing from a pure blackbox approach we apply a static analysis to the bytecode of the application. This allows us to infer a dependency graph, which we call Event Dependency Graph (EDG). We use the EDG together with a black-box model to construct a set of relevant event sequences among the executable ones. We have implemented our approach in a new tool. We evaluate the approach on four open source GUI applications. With the specific choice of a lightweight static analysis, the approach scales to large applications and, at the same time, leads to an informed selection of event sequences. Using our approach we are able to find previously undetected bugs.
The work in REF (with shared co-authors) presents a lightweight static analysis, which generates all event sequences that are at the same time executable and justifiably relevant.
Lightweight Static Analysis for GUI Testing
2012 IEEE 23rd International Symposium on Software Reliability Engineering
2012 IEEE 23rd International Symposium on Software Reliability Engineering
Computer Science