University of Hertfordshire

A curated benchmark collection of python systems for empirical studies on software engineering

Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Matteo Orrú
  • Ewan Tempero
  • Michele Marchesi
  • Roberto Tonelli
  • Giuseppe Destefanis
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Original languageEnglish
Title of host publication11th International Conference on Predictive Models and Data Analytics in Software Engineering, PROMISE 2015
PublisherAssociation for Computing Machinery
Volume2015-October
ISBN (Electronic)9781450337151
DOIs
Publication statusPublished - 21 Oct 2015
Event11th International Conference on Predictive Models and Data Analytics in Software Engineering, PROMISE 2015 - Beijing, China
Duration: 21 Oct 2015 → …

Conference

Conference11th International Conference on Predictive Models and Data Analytics in Software Engineering, PROMISE 2015
CountryChina
CityBeijing
Period21/10/15 → …

Abstract

The aim of this paper is to present a dataset of metrics as- sociated to the first release of a curated collection of Python software systems. We describe the dataset along with the adopted criteria and the issues we faced while building such corpus. This dataset can enhance the reliability of empirical studies, enabling their reproducibility, reducing their cost, and it can foster further research on Python software.

ID: 13218824