Hitchhikers need free vehicles! Shared repositories for statistical analysis in SBST
empirical study
search-based methods
Proceedings of the 9th International Workshop on Search-Based Software Testing
Abstract
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.Details
Presentation
Reference
@inproceedings{Kapfhammer2016,
author = {Gregory M. Kapfhammer and Phil McMinn and Chris J. Wright},
booktitle = {Proceedings of the 9th International Workshop on Search-Based
Software Testing},
paper = {https://github.com/gkapfham/sbst2016-paper},
title = {Hitchhikers need free vehicles! Shared repositories for statistical
analysis in SBST},
year = {2016}
}