1 citations · 1 across the 4 of their papers we have counts for
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Robust Machine Learning in Critical Care -- Software Engineering and Medical Perspectives
Miroslaw Staron, Helena Odenstedt Hergés, Silvana Naredi +4
Using machine learning in clinical practice poses hard requirements on explainability, reliability, replicability and robustness of these systems. Therefore, developing reliable so…
Empirical Standards for Software Engineering Research
Paul Ralph, Nauman bin Ali, Sebastian Baltes +39
Empirical Standards are natural-language models of a scientific community's expectations for a specific kind of study (e.g. a questionnaire survey). The ACM SIGSOFT Paper and Peer…
PHANTOM: Curating GitHub for engineered software projects using time-series clustering
Peter Pickerill, Heiko Joshua Jungen, Miroslaw Ochodek +1
Context: Within the field of Mining Software Repositories, there are numerous methods employed to filter datasets in order to avoid analysing low-quality projects. Unfortunately, t…
Predicting and Evaluating Software Model Growth in the Automotive Industry
Jan Schroeder, Christian Berger, Alessia Knauss +4
The size of a software artifact influences the software quality and impacts the development process. In industry, when software size exceeds certain thresholds, memory errors accum…