Self consuming artifact meaning4/9/2023 Īustin J, Jackson T, Fletcher M, Jessop M, Liang B, Weeks M, Smith L, Ingram C, Watson P (2011) CARMEN: Code analysis, repository and modeling for e-neuroscience. Īssociation for Computing Machinery (2020) Software and Data Artifacts in the ACM Digital Library. (January 2004).Īssociation for Computing Machinery (2018) Artifact Review and Badging. Finally, we make recommendations to improve the quality of artifacts based on our results and existing best practices.Īpache (2004) Apache License, Version 2.0. Using Diffusion of Innovations (DoI) as an analytical framework, we examine how these challenges relate to one another, and build an understanding of the factors that affect the sharing and success of artifacts. By analyzing the perspectives of artifact creators, users, and reviewers, we identify several high-level challenges that affect the quality of artifacts including mismatched expectations between these groups, and a lack of sufficient reward for both creators and reviewers. To that end, we perform a mixed-methods study including a survey of artifacts in software engineering publications, and an online survey of 153 software engineering researchers. To help the software engineering community realize the full potential of artifacts, we seek to understand the challenges involved in the creation, sharing, and use of artifacts. However, in practice, artifacts suffer from a variety of issues that prevent the realization of their full potential. Ideally, artifacts, including tools, benchmarks, and data, support the dissemination of ideas, provide evidence for research claims, and serve as a starting point for future research. In recent years, many software engineering researchers have begun to include artifacts alongside their research papers.
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