Program Generation

Technique

Program generation is a technique for automatically producing program code, used across domains including parallel scientific computing and CPU fuzzing. It spans computer-assisted parallel program generation systems, language-model-based code synthesis, and intricate program generation strategies for hardware security testing (as exemplified by Cascade).

First seen 6/24/2026

Last seen 6/24/2026

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WIKI

Program Generation

Program generation refers to techniques that automatically produce executable program code rather than requiring humans to write it by hand. It is applied across a wide range of domains, including parallel scientific computing, software engineering automation, and hardware/ CPU fuzzing.

Parallel Program Generation

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RELATIONSHIPS

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Cascade ← uses 90% 1e

The paper title indicates Cascade’s approach relies on program generation.

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Cascade USES Extracted graph relationship

CITATIONS

3 sources

3 citations — click to collapse

[1] Computer-assisted parallel program generation systems such as P-NCAS have been developed as Problem Solving Environments (PSEs) to support parallel computing for large-scale scientific, data-analysis, and visualization problems, with origins in 1970s PSE research. Computer Assisted Parallel Program Generation

[2] Pre-trained language models (e.g., CodeT5, CodeGPT) have been applied to automated program generation tasks including code generation, repair, and translation, but suffer from over-optimistic evaluation due to severe data duplication and limited robustness to input changes. On the Reliability and Explainability of Language Models for Program Generation

[3] Cascade applies intricate program generation to CPU fuzzing, with reproducibility artifacts including a Docker image, an optional Questasim-based coverage comparison versus TheHuzz, and experiments showing that longer generated programs tend to be more efficient at finding bugs. comsec-group/cascade-artifacts