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GFTrans: an on-the-fly static analysis framework for code performance profiling.

Jie Li1, Yunbao Wen1, Jingxin Liu2

  • 1School of Artificial Intelligence, South China Normal University, Foshan, China.

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|March 16, 2026
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Summary
This summary is machine-generated.

GFTrans is a new static analysis framework that predicts C program performance without running code. This tool helps developers quickly identify software bottlenecks during the coding phase, improving efficiency.

Keywords:
code representation learningcontrol flow and data flowgraph linearizationon-the-fly profilingperformance predictionstatic analysis

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Area of Science:

  • Computer Science
  • Software Engineering
  • Artificial Intelligence

Background:

  • Software efficiency is critical for system maintenance and performance.
  • Identifying runtime bottlenecks in large, complex systems is challenging.
  • Traditional dynamic profiling methods introduce significant latency, hindering agile development.

Purpose of the Study:

  • To introduce GFTrans, a novel static analysis framework for predicting C program performance.
  • To enable developers to identify performance bottlenecks early in the development cycle without code execution.

Main Methods:

  • Developed GFTrans, a static analysis framework utilizing a Transformer architecture.
  • Implemented an "anchor-based embedding" technique to integrate control flow and data dependencies.
  • Incorporated a dynamic gating mechanism to fuse semantic representations with handcrafted statistical features.

Main Results:

  • GFTrans achieved 78.64% accuracy on a dataset of real-world C functions.
  • Outperformed baseline models such as Random Forest and Code2Vec.
  • Identified potential performance bottlenecks in milliseconds.

Conclusions:

  • GFTrans offers an effective solution for predicting C program performance through static analysis.
  • The framework significantly reduces the latency associated with bottleneck identification.
  • Enables developers to optimize code proactively during the development phase.