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An effective fault localization approach for Verilog based on enhanced contexts

  • Zhuo Zhang,
  • Ya Li,
  • Lei Xia,
  • Jianxin Xue,
  • Jiang Wu,
  • Xiaoguang Mao

摘要

The HDL research community recognizes the pivotal role of bug localization in the debugging workflow, offering substantial relief to developers. This paper introduces ContextHD, a robust bug localization method tailored for Verilog, leveraging enhanced contexts. ContextHD integrates static slicing techniques with advanced suspiciousness measurement methods to generate a prioritized list of statements based on their suspicious values, arranged in descending order. Our experimental evaluation involved comparing ContextHD with seven established state-of-the-art bug localization techniques. The results unequivocally demonstrate that ContextHD outperforms these methods significantly. Future endeavors include refining ContextHD to further enhance its accuracy.