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There are hundreds of computer science articles published every day
together with some code, data and models!
While it is great to see so many advances, it is also becoming extremely difficult and time consuming
to reproduce and compare experimental results
from such articles (output, execution time, consumed energy, accuracy, costs and other metrics)
across very diverse and continuously evolving software and hardware!
Furthermore, researchers often use ad-hoc scripts, workflows and data formats making
it very challenging to reuse research artifacts from published articles.