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Christoph Treude

PROFILE

Christoph Treude

Contributed to the se-ubt/llm-guidelines-website by developing and standardizing comprehensive reporting guidelines for large language model (LLM) usage in empirical software engineering research. Focused on enhancing transparency and reproducibility, the work included implementing explicit MUST/SHOULD requirements for prompt reporting, expanding practical examples, and updating the BibTeX-based literature bibliography to strengthen the evidence base. Leveraged technical writing, LaTeX, and BibTeX to deliver clear documentation and maintain rigorous version control practices. Iteratively refined guidelines in response to reviewer feedback, consolidating documentation and establishing required standards for reporting prompts and interaction logs across diverse LLM study types to support future research.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

10Total
Bugs
0
Commits
10
Features
4
Lines of code
191
Activity Months3

Work History

May 2025

1 Commits • 1 Features

May 1, 2025

May 2025 summary for se-ubt/llm-guidelines-website: Delivered LLM Usage Reporting Guidelines Standardization, establishing required reporting standards for prompts and interaction logs across LLM study types to enhance transparency and reproducibility in SE research. Linked to commit 0ed133c3d481d5c57b9f5a4d30a7cfcb6e80776b (Address #72).

March 2025

3 Commits • 1 Features

Mar 1, 2025

Month: 2025-03 — No major bugs fixed; primary focus on documentation improvements and quality standards. Key feature delivered: consolidated LLM Usage Documentation and Guidelines for Empirical Software Engineering Studies in se-ubt/llm-guidelines-website, including prompt reporting guidelines and literature coverage. Iterations driven by reviewer feedback (commits 18a8f8ea7b36977166e2b61c627286e4e08fe0da; 2c31189ea2c3213a992559a8f98502f7dd33d4dc; ae7026d33de5594d7ff1381966375bf8dc94a41e). Overall impact: enhances transparency, reproducibility, and comprehension for empirical SE studies using LLMs as raters, enabling faster onboarding and stronger governance. Technologies/skills: technical writing, evidence synthesis, prompt design, version control, cross-team collaboration.

February 2025

6 Commits • 2 Features

Feb 1, 2025

February 2025: Delivered targeted enhancements to the se-ubt/llm-guidelines-website focusing on prompt reporting in empirical software engineering studies involving LLMs. Implemented explicit MUST/SHOULD reporting requirements, expanded examples, and formatting improvements to enhance clarity and reproducibility. Updated BibTeX bibliography with entries for relevant LLM prompts research (strengthening the literature base and reproducibility), including references such as Liang et al. 2024. Maintained rigorous documentation through incremental commits: initial draft prompts, formatting fixes, added examples, and new references. Result: improved study reproducibility, faster onboarding for researchers, and a solid foundation for future experiments and peer reviews. Technologies/skills: technical writing, BibTeX curation, version control discipline, and empirical-methodology practices for AI in software engineering.

Activity

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Quality Metrics

Correctness96.0%
Maintainability96.0%
Architecture96.0%
Performance92.0%
AI Usage28.0%

Skills & Technologies

Programming Languages

BibTeXLaTeXTeX

Technical Skills

Academic ResearchBibliography ManagementDocumentationReference ManagementResearch GuidelinesResearch ManagementTechnical Writing

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

se-ubt/llm-guidelines-website

Feb 2025 May 2025
3 Months active

Languages Used

BibTeXLaTeXTeX

Technical Skills

DocumentationReference ManagementResearch ManagementTechnical WritingAcademic ResearchBibliography Management