Case Study: Adaptive Test Automation for Testing an Adaptive Hadoop Resource Manager

摘要

Coping with adaptive software systems is one of the key challenges testing is currently faced with. In our previous work, we proposed to enable the test system itself to be adaptive to the system under test as a solution. The adaptation is built up on the concepts of a self-aware test automation enabling to use this information to sequence, instantiate, or update the test suite to the current situation. In our test framework the modeling language S# allows to use a run-time model to do so in a model-based testing approach. In this paper, we demonstrate how our concepts of adaptive, self-aware test automation are applied to a real world scenario: testing an adaptive resource manager of Hadoop. We show the steps necessary to implement the approach and discuss our experiences in this case study paper.