SPARC: Scenario Planning and Reasoning for Automated C Unit Test Generation
#SPARC #Scenario planning #Reasoning #Automated unit test generation #C programming #Pointer arithmetic #Manual memory management #Semantic gap #Leap‑to‑code failure #Large Language Models
📌 Key Takeaways
- Automated unit test generation for C is hard due to a semantic gap between intent and pointer‑heavy syntax.
- Large Language Models, while powerful, often fail to ground generated code in the underlying program structure, leading to leap‑to‑code errors.
- The paper introduces SPARC, a scenario‑planning and reasoning framework aimed at bridging this gap.
- SPARC is positioned as a potential solution to mitigate LLMs' premature code emissions in the context of C test generation.
- The approach is outlined in a preprint uploaded to arXiv in February 2026.
📖 Full Retelling
The authors of *SPARC: Scenario Planning and Reasoning for Automated C Unit Test Generation* (arXiv:2602.16671v1) present a novel approach to the persistent challenge of generating unit tests for C programs. The paper was published on the arXiv preprint server on 2026‑02‑26. The work addresses why automated unit test generation for C remains difficult: the semantic gap between high‑level program intent and the rigid syntactic constraints of pointer arithmetic and manual memory management, combined with the tendency of Large Language Models to exhibit a leap‑to‑code failure mode—prematurely emitting code without grounding in program structure.
🏷️ Themes
Automated software testing, Program synthesis, C programming language, Large Language Models, Scenario planning, Natural language processing in code generation
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Original Source
arXiv:2602.16671v1 Announce Type: cross
Abstract: Automated unit test generation for C remains a formidable challenge due to the semantic gap between high-level program intent and the rigid syntactic constraints of pointer arithmetic and manual memory management. While Large Language Models (LLMs) exhibit strong generative capabilities, direct intent-to-code synthesis frequently suffers from the leap-to-code failure mode, where models prematurely emit code without grounding in program structure
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