As a means for improving the maturity of the data analysis methods used in the search-based software testing field, this paper presents the need for shared repositories of well-documented statistical analysis code and replication data. In addition to explaining the benefits associated with using these repositories, the paper gives suggestions (e.g., the testing of analysis code) for improving the study of data arising from experiments with randomized algorithms.

DOI

Bibtex Entry

@inproceedings{Kapfhammer2016,
  author    = "Kapfhammer, Gregory M. and Wright, Chris J. and McMinn, Phil",
  title     = "Hitchhikers Need Free Vehicles! Shared Repositories for Statistical Analysis in SBST",
  booktitle = "International Workshop on Search-Based Software Testing (SBST 2016)",
  pages     = "55--56",
  year      = "2016",
  publisher = "ACM"
}