Empirical Standards for Repository Mining
Preetha Chatterjee, Tushar Sharma, Paul Ralph

TL;DR
This paper discusses the development and presentation of empirical standards for repository mining to improve research quality and peer review reliability in software engineering.
Contribution
It introduces a specific empirical standard for mining software repositories, aiming to enhance research quality and peer review consistency.
Findings
Standard facilitates clearer communication of research expectations
Adoption of standards can improve research reliability
Provides a framework for community feedback and improvement
Abstract
The purpose of scholarly peer review is to evaluate the quality of scientific manuscripts. However, study after study demonstrates that peer review neither effectively nor reliably assesses research quality. Empirical standards attempt to address this problem by modelling a scientific community's expectations for each kind of empirical study conducted in that community. This should enhance not only the quality of research but also the reliability and predictability of peer review, as scientists adopt the standards in both their researcher and reviewer roles. However, these improvements depend on the quality and adoption of the standards. This tutorial will therefore present the empirical standard for mining software repositories, both to communicate its contents and to get feedback from the attendees. The tutorial will be organized into three parts: (1) brief overview of the empirical…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
