GHTraffic: A Dataset for Reproducible Research in Service-Oriented Computing
This provides a resource for researchers in service-oriented computing, but it is incremental as it focuses on dataset creation without new methods or results.
The authors tackled the need for reproducible research in service-oriented computing by creating GHTraffic, a dataset of HTTP transactions from GitHub data and synthetic data, which they characterized with selective metrics.
We present GHTraffic, a dataset of significant size comprising HTTP transactions extracted from GitHub data and augmented with synthetic transaction data. The dataset facilitates reproducible research on many aspects of service-oriented computing. This paper discusses use cases for such a dataset and extracts a set of requirements from these use cases. We then discuss the design of GHTraffic, and the methods and tool used to construct it. We conclude our contribution with some selective metrics that characterise GHTraffic.