Antipattern-Based Problem Injection for Assessing Performance and Reliability Evaluation Techniques

摘要: A challenging problem with today's increasingly large and distributed software systems is their performance behavior. To help developers avoid or detect mistakes that lead to problems, many researchers in engineering have come up classifications of such called antipatterns. test the approaches for antipattern detection, data from running required. However, usefulness this doubtful as it may not include manifestations problems. In paper, we classify existing antipatterns w.r.t. suitability being injected and, based on this, introduce an extensible tool allows inject instances these into applications. The approach can be useful validate automated runtime evaluation prevention techniques. Using two exemplary antipatterns, demonstrated injection easily possible produces feasible, though currently rather clinical results.