GHTraffic: A Dataset for Reproducible Research in Service-Oriented Computing
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arXiv
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| Auteurs principaux: | , , , |
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| Format: | Preprint |
| Publié: |
2018
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| _version_ | 1866912891727249408 |
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| author | Bhagya, Thilini Dietrich, Jens Guesgen, Hans Versteeg, Steve |
| author_facet | Bhagya, Thilini Dietrich, Jens Guesgen, Hans Versteeg, Steve |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_1806_03449 |
| institution | arXiv |
| publishDate | 2018 |
| record_format | arxiv |
| spellingShingle | GHTraffic: A Dataset for Reproducible Research in Service-Oriented Computing Bhagya, Thilini Dietrich, Jens Guesgen, Hans Versteeg, Steve Software Engineering 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. |
| title | GHTraffic: A Dataset for Reproducible Research in Service-Oriented Computing |
| topic | Software Engineering |
| url | https://arxiv.org/abs/1806.03449 |