RepFrame
Heming Cui, Rui Gu, Cheng Liu, Junfeng Yang · 2015
Dynamic program analysis frameworks greatly improve software quality as they enable a wide range of powerful analysis tools (e.g., reliability, profiling, and logging) at runtime. However, because existing frameworks run only one actual execution for each software application, the execution is fully or partially coupled with an analysis tool in order to transfer execution states (e.g., accessed memory and thread interleavings) to the analysis tool, easily causing a prohibitive slowdown for the execution. To reduce the portions of execution states that require transfer, many frameworks require significantly carving analysis tools as well as the frameworks themselves. Thus, these frameworks significantly trade off transparency with analysis tools and allow only one type of tools to run within one execution.