Empirical Standards for Software Engineering Research
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Abstract (arXiv)
Empirical Standards are natural-language models of a scientific community's expectations for a specific kind of study (e.g. a questionnaire survey). The ACM SIGSOFT Paper and Peer Review Quality Initiative generated empirical standards for research methods commonly used in software engineering. These living documents, which should be continuously revised to reflect evolving consensus around research best practices, will improve research quality and make peer review more effective, reliable, transparent and fair.
Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). First posted on arXiv 7 Oct 2020.
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Citing papers per year: 2025: 1; 2026: 3.
4 papers.
- 2025Get on the Train or be Left on the Station: Using LLMs for Software Engineering Researchcited by 3
- 2026Multi-Agent Debate Strategies: Survey, Taxonomy, and Challengescited by 3
- 2026Has LLM Screening Performance Stalled in Software Engineering Systematic Reviews?cited by 0
- 2026One Skill Too Many: How Co-Installed Skills Conflict in Coding Agentscited by 0
- 2026One Skill Too Many: How Co-Installed Skills Conflict in Coding Agents8 Oct 2026
- 2026Has LLM Screening Performance Stalled in Software Engineering Systematic Reviews?7 Oct 2026
- 2026Multi-Agent Debate Strategies: Survey, Taxonomy, and Challenges28 Jul 2026
- 2025Get on the Train or be Left on the Station: Using LLMs for Software Engineering Research15 Jun 2025