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Editorial: Machine Learning, Software Process, and Global Software Engineering
  • +1
  • Igor Steinmacher,
  • Paul Clarke,
  • Eray Tuzun,
  • Ricardo Britto
Igor Steinmacher
Northern Arizona University

Corresponding Author:[email protected]

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Paul Clarke
Dublin City University
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Eray Tuzun
Bilkent University
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Ricardo Britto
Telefonaktiebolaget LM Ericsson
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On June 26-28, 2020, the International Conference on Software and Systems Processes (ICSSP 2020) and the International Conference on Global Software Engineering (ICGSE 2020) were held in virtual settings during the first year of the COVID pandemic. Several submissions to the joint event have been selected for inclusion in this special issue, focusing on impactful and timely contributions to Machine Learning (ML). At present, many in our field are enthusiastic about the potential of ML, yet some risks should not be casually overlooked or summarily dismissed. Each ML implementation is subtly different from any other implementation, and the risk profile varies greatly based on the approach adopted and the implementation context. The ICSSP/ICGSE 2020 Program Committees have encouraged submissions that explore the risks and benefits associated with ML so that the important discussion regarding ML efficacy and advocacy can be further elaborated. Four contributions have been included in this special issue.
12 Jan 2023Submitted to Journal of Software: Evolution and Process
13 Jan 2023Assigned to Editor
13 Jan 2023Submission Checks Completed
30 Jan 2023Review(s) Completed, Editorial Evaluation Pending
30 Jan 2023Editorial Decision: Accept