The test oracle problem is one of the most challenging problems in software engineering. A growing body of research has examined the concept of Metamorphic Testing (MT), and has proven that MT can effectively alleviate the oracle problem and detect real bugs. Compared with most other testing methods, where the correctness of each individual test output is checked, MT has a different perspective on testing: it focuses on the relationships among the inputs and outputs of multiple executions of the software under test. MET: The International Workshop on Metamorphic Testing will bring together researchers and practitioners in academia and industry to discuss research results, experiences, and insights into MT. The ultimate goal of MET is to provide a platform for the discussion of novel ideas, new perspectives, new applications, and the state of research, related to or inspired by MT.
The meeting will start with a keynote speech by Dr. Alastair Donaldson from Google. This will be followed by paper presentations and discussions, then a panel discussion. We plan to accept about ten presentations. For each accepted full paper there will be a 15-minute presentation followed by 15 minutes of discussion. For each accepted short paper there will be a 10-minute presentation followed by 10 minutes of discussion.
In order to promote discussions among the workshop participants, we will assign a discussant to each paper in advance. The discussant will be a presenter in another session and will not be a member of the organizing committee or the program committee. The discussant’s task is to give a critical review of the paper directly after its presentation. This task will be guided by a predefined set of questions provided by the workshop organizers. A template for the discussions will be published before the workshop.
We plan to arrange a panel on emerging MT applications in industry. This panel is to share and promote innovative ideas about applying MT in real-life application domains, such as autonomous cars and intelligent medical imaging.