SpectraDL: A Historical Issue-Driven, Test Specification-Assisted Transfer Testing Approach for Deep Learning Frameworks via LLMs
Deep learning (DL) frameworks provide diverse fundamental algorithmic units as operators, which are critical infrastructure for constructing various intelligent software. Since mainstream frameworks widely adopt the open-source development paradigm, bugs may recur across operators and even across frameworks. Recent stu...