Empirical Standards for Software Engineering Research

10/07/2020
by   Paul Ralph, et al.
0

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.

READ FULL TEXT

Authors

page 1

03/29/2022

Empirical Standards for Repository Mining

The purpose of scholarly peer review is to evaluate the quality of scien...
09/19/2020

Software Engineering Standards for Epidemiological Modeling

There are many normative and technical questions involved in evaluating ...
05/10/2020

Peer Review: Objectivity, Anonymity, Trust

This dissertation is focused on the role of objectivity in peer review. ...
06/22/2017

A Community's Perspective on the Status and Future of Peer Review in Software Engineering

Context: Pre-publication peer review of scientific articles is considere...
02/18/2018

Consensus in Software Engineering: A Cognitive Mapping Study

Background: Philosophers of science including Collins, Feyerabend, Kuhn ...
09/02/2020

Understanding Peer Review of Software Engineering Papers

Peer review is a key activity intended to preserve the quality and integ...
02/26/2021

On the Naming of Methods: A Survey of Professional Developers

This paper describes the results of a large (+1100 responses) survey of ...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.