Generating Event Sequence-Based Test Cases Using

4 Graphical user interfaces (GUIs) are the sole mode of interaction between end-users and 5 back-end code for almost all of today’s software applications. Because of this strategic role 6 of GUIs, their quality has become important. During GUI testing, test cases—modeled as se7 quences of user events—sample the vast input space of all possible sequences with the goal 8 of detecting faults; for effective testing, it is important to sample this space carefully. Exist9 ing techniques either sample manually or employ manually constructed abstract models—the 10 abstraction and/or subsequent test-case generation algorithms enable sampling. 11 This paper presents an alternative approach to GUI testing – it’s focus is on developing 12 a fully automatic model-driven technique to generate GUI test cases. The technique is novel 13 in that it uses feedback from the execution of a “seed test suite” on a GUI. The seed suite is 14 generated automatically using an existing structural event-interaction graph (EIG) model of 15 the GUI. During its execution, the run-time effect of each GUI event on all other events pin16 points new important event-semantic interaction (ESI) relationships between them, which are 17 used to automatically create an ESI graph (ESIG) model and generate new test cases. Together 18 with a reverse-engineering algorithm used to obtain the EIG, seed suite, ESIG, and new test 19 cases, the feedback-based technique yields a fully automatic, end-to-end GUI testing process. 20 Two independent studies on eight applications demonstrate that the feedback-based technique 21 (1) is able to significantly improve existing techniques and help identify serious problems in 22 the software and (2) the ESI relationships captured via GUI state yield test suites that most 23 often detect more faults than their code-, event-, and event-interaction-coverage equivalent 1 counterparts. 2