Abstract
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.
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