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Open Science in Software Engineering

Open Access
Chapter

Abstract

Open science describes the movement of making any research artifact available to the public and includes, but is not limited to, open access, open data, and open source. While open science is becoming generally accepted as a norm in other scientific disciplines, in software engineering, we are still struggling in adapting open science to the particularities of our discipline, rendering progress in our scientific community cumbersome. In this chapter, we reflect upon the essentials in open science for software engineering including what open science is, why we should engage in it, and how we should do it. We particularly draw from our experiences made as conference chairs implementing open science initiatives and as researchers actively engaging in open science to critically discuss challenges and pitfalls and to address more advanced topics such as how and under which conditions to share preprints, what infrastructure and licence model to cover, or how do it within the limitations of different reviewing models, such as double-blind reviewing. Our hope is to help establishing a common ground and to contribute to make open science a norm also in software engineering.

Notes

Acknowledgements

We want to thank all the members of the empirical software engineering research community who are actively supporting the open science movement and its adoption to the software engineering community. Just to name a few: Robert Feldt and Tom Zimmermann, editors in chief of the Empirical Software Engineering Journal, are committed to support the implementation of a new Reproducibility and Open Science initiative1—the first one to implement an open data initiative following a holistic process including a badge system. The steering committee of the International Workshop on Cooperative and Human Aspects of Software Engineering (CHASE) supported the implementation of an open science initiative from 2016 on. Markku Oivo, general chair of the International Symposium on Empirical Software Engineering and Measurement (ESEM) 2018, has actively supported the adoption of the CHASE open science initiative with focus on data sharing for the major Empirical Software Engineering conference so that we could pave the road for a long-term change in that community. Sebastian Uchitel, general chair of the International Software Engineering Conference (ICSE) 2017, further supported an initiative to foster sharing of preprints, and Natalia Juristo, general chair of ICSE 2021, further actively supports the adoption of the broader ESEM open science initiative to our major general software engineering conference. Finally, we want to thank Per Runeson, Klaas-Jan Stol, and Breno de França for their elaborate comments on earlier versions on this manuscript.

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Authors and Affiliations

  1. 1.Technical University of MunichMunichGermany
  2. 2.Blekinge Institute of TechnologyKarlskronaSweden
  3. 3.fortiss GmbHMunichGermany
  4. 4.University of StuttgartStuttgartGermany
  5. 5.Ludwig-Maximilians-University MunichMunichGermany

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