113 times Tomcat: A dataset

Giuseppe Destefanis; Mahir Arzoky; Steve Counsell; Stephen Swift; Marco Ortu; Roberto Tonelli; Michele Marchesi

doi:10.7287/peerj.preprints.26491v1

113 times Tomcat: A dataset

Giuseppe Destefanis ¹, Mahir Arzoky², Steve Counsell², Stephen Swift², Marco Ortu³, Roberto Tonelli³, Michele Marchesi³

1 Computer Science, University of Hertfordshire, Hatfield, United Kingdom

2 Computer Science, Brunel University, London, United Kingdom

3 University of Cagliari, Cagliari, Italy

DOI: 10.7287/peerj.preprints.26491v1

Published: 2018-02-08
Accepted: 2018-02-08

Subject Areas: Software Engineering
Keywords: software metrics, software quality, dataset

Licence: This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Preprints) and either DOI or URL of the article must be cited.

Cite this article: Destefanis G, Arzoky M, Counsell S, Swift S, Ortu M, Tonelli R, Marchesi M. 2018. 113 times Tomcat: A dataset. PeerJ Preprints 6:e26491v1 https://doi.org/10.7287/peerj.preprints.26491v1

Abstract

Measuring software to get information about its properties and quality is one of the main issues in modern software engineering. The aim of this paper is to present a dataset of metrics associated to 113 versions of Tomcat. We describe the dataset along with the adopted criteria and the opportunities of research, providing preliminary results. This dataset can enhance the reliability of empirical studies, enabling their reproducibility, reducing their cost, and it can foster further research on software quality and software metrics.

Author Comment

Public dataset