Model–based testing (MBT) is an advanced testing technique that is becoming more and more popular in the software testing community. Several experience reports and success stories have been presented and published so far. However, the capabilities and limitations of MBT still need to be understood and evaluated in order to adapt the approach in particular testing projects. The workshop on Quality of Model–Based Testing (QuoMBaT) addresses a crucial need for discussing the quality characteristics of MBT approaches: How can or should the quality of a newly proposed approach be measured? How can existing approaches be compared? What is the fault–detection capability of an automatically generated test suite compared to that of a manually produced one? Which kind of quality criteria is adequate?<br>The objective of this second QuoMBaT workshop is to offer a forum for researchers and practitioners who are already working in this area or are interested in exploring MBT. Possible topics include, but are not limited to:<br>– MBT success and failure stories.<br>– How can or should the quality of approaches, modeling languages, tools and test models be measured?<br>– How should test cases be generated in order to ensure high quality?<br>– What statements about SUT quality can be derived from test quality?<br>– How can model–based testing be evaluated in comparison to other testing approaches?<br>– What is the fault–detection capability of automatically generated tests compared to those of manually produced tests?<br>– How can or should model–based testing be integrated into the development processes and accreditation?<br>
Abbrevation
QuoMBaT
City
Lugano
Country
Switzerland
Deadline Paper
Start Date
End Date
Abstract