Author

Mike Papadakis

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Preprint Jul 2026

SemaDiff: Identifying Semantic-Changing Commits with Generated Code and Tests

SemaDiff, a novel approach for identifying semantic-preserving commits through behaviour-based analysis, is proposed, and results show that SemaDiff distinguishes accurately semantic-preserving from -- changing commits in about 76% of the cases, with a 100% precision in semantic-changing commit detection.

Maha Ayub, Michael Konstantinou, Ahmed Khanfir et al. · 0 citations

Preprint Jul 2026

On the risk of coding before testing: An empirical study on LLM-based test generation workflow

This paper introduces and empirically study the phenomenon of error propagation, where faults in generated code are systematically replicated in associated test artifacts, and examines whether LLM-generated code biases the generation of subsequent tests.

Michael Konstantinou, Florian Tambon, Mike Papadakis · 1 citation

Preprint Jul 2026

From Failing to Passing: Evolving Natural Language Prompt Optimization Rules for LLM Code Generation

This work introduces a search-based approach that identifies and evolves a set of natural language transformation rules with strong downstream effects on coding performance, and proposes DUALFIX, a staged repair pipeline that combines the evolved transformation rules with execution-feedback repair, addressing both specification-level and implementation-level failures.

Amal Akli, Melissa Akli, Cedric Richter et al. · 0 citations