2024/09/25 by T. Murata, Murata, Takumi, Hiroaki Hashiura +1
Computer Science · #Distributed and Parallel Computing Systems #FOS: Computer and information sciences #Online Learning and Analytics #Parallel Computing and Optimization Techniques #Software Engineering (cs.SE)
paper · pdf · doi:10.48550/arxiv.2409.16700
openalex publication_date 2024/09/25 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Multi-threaded programs are expected to improve responsiveness and conserve resources by dividing an application process into multiple threads for concurrent processing. However, due to scheduling and the interaction of multiple threads, their runtime behavior is more complex than that of single-threaded programs, making which makes debugging difficult unless the concepts specific to multi-threaded programs and the execution order of instructions can be understood. In this paper, we propose a learning tool for multi-threaded programs using trace tables.