Experiment runner: A tool for the automatic orchestration of experiments targeting software systems

Experiment Runner (ER) is a Python framework for the (semi-) automatic orchestration of measurement-based experiments targeting software systems. ER allows users to (i) programmatically define an experiment in terms of its factors, treatments, subjects, etc., (ii) start, stop, pause, and resume an experiment with no data loss, (iii) integrate third-party software- or hardware-profilers, (iv) execute an experiment either in automatic mode or semi-automatic mode, and (v) define custom callbacks that are automatically called by ER when needed. ER has been used in tens of empirical studies in the Software Engineering area. In this paper, we describe the main features of ER, its software architecture, a simple experiment executed by ER, and three scientific studies where it has been used successfully.

Authors

Institutions

Publication Details

Journal
Science of Computer Programming
Published
2025-11-01
DOI
https://doi.org/10.1016/j.scico.2025.103415
Primary Topic
Software Testing and Debugging Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Experiment runner: A tool for the automatic orchestration of experiments targeting software systems

Andrei Dragomir, Martin Karsten, Vincenzo Stoico, Ivano Malavolta et al.
Science of Computer Programming
Software Testing and Debugging Techniques
article

Experiment runner: A tool for the automatic orchestration of experiments targeting software systems

Andrei Dragomir, Martin Karsten, Vincenzo Stoico, Ivano Malavolta, Radu Apsan
article en

Abstract

Experiment Runner (ER) is a Python framework for the (semi-) automatic orchestration of measurement-based experiments targeting software systems. ER allows users to (i) programmatically define an experiment in terms of its factors, treatments, subjects, etc., (ii) start, stop, pause, and resume an experiment with no data loss, (iii) integrate third-party software- or hardware-profilers, (iv) execute an experiment either in automatic mode or semi-automatic mode, and (v) define custom callbacks that are automatically called by ER when needed. ER has been used in tens of empirical studies in the Software Engineering area. In this paper, we describe the main features of ER, its software architecture, a simple experiment executed by ER, and three scientific studies where it has been used successfully.

Science of Computer Programming
Vrije Universiteit Amsterdam (NL)
Openalex Percentile: Top 64%
Software Testing and Debugging Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.