Litcius/Paper detail

A retrospective study of one decade of artifact evaluations

Stefan Winter, Christopher S. Timperley, Ben Hermann, Jürgen Cito, Jonathan Bell, Michael Hilton, Dirk Beyer

2022Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering20 citationsDOIOpen Access PDF

Abstract

Most software engineering research involves the development of a prototype, a proof of concept, or a measurement apparatus. Together with the data collected in the research process, they are collectively referred to as research artifacts and are subject to artifact evaluation (AE) at scientific conferences. Since its initiation in the SE community at ESEC/FSE 2011, both the goals and the process of AE have evolved and today expectations towards AE are strongly linked with reproducible research results and reusable tools that other researchers can build their work on. However, to date little evidence has been provided that artifacts which have passed AE actually live up to these high expectations, i.e., to which degree AE processes contribute to AE's goals and whether the overhead they impose is justified.

Topics & Concepts

Artifact (error)Computer scienceProcess (computing)Overhead (engineering)Subject (documents)Data scienceSoftware engineeringWork in processEngineeringArtificial intelligenceWorld Wide WebProgramming languageOperations managementSoftware Engineering ResearchScientific Computing and Data ManagementMachine Learning in Materials Science