Lesson plan

MoarVM

MoarVM (Metamodel On A Runtime Virtual Machine) is a virtual machine built for the 6model object system. It is being built to serve as yet another VM backend for Raku. MoarVM was created to allow for greater efficiency than Parrot by having a closer internal representation to the model system used by Raku. Notably it was the virtual machine for the first stable version of Rakudo released in December 2015. Work began on MoarVM on March 31, 2012; the project was first publicly announced the following year on May 31, 2013. As of March 2014, it is the fastest virtual machine for Rakudo and NQP in terms of startup time and build speed. MoarVM is available under the Artistic License 2.0.

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Article summary

MoarVM (Metamodel On A Runtime Virtual Machine) is a virtual machine built for the 6model object system. It is being built to serve as yet another VM backend for Raku. MoarVM was created to allow for greater efficiency than Parrot by having a closer internal representation to the model system used by Raku. Notably it was the virtual machine for the first stable version of Rakudo released in December 2015. Work began on MoarVM on March 31, 2012; the project was first publicly announced the following year on May 31, 2013. As of March 2014, it is the fastest virtual machine for Rakudo and NQP in terms of startup time and build speed. MoarVM is available under the Artistic License 2.0.

Key claims

  1. release date: 2015 — source: Wikipedia · confidence 0.95

Discussion questions

  1. Summarise the article in your own words. Which single claim would you verify first, and why?
  2. The record states that the release date is "2015". What evidence would count against this claim?
  3. Which claim in this article is most likely to be revised as the sources update? How would you check its current status?
  4. If two sources disagreed about one of these facts, what would you need in order to trust one over the other?

Bibliography

  1. Wikipedia https://en.wikipedia.org/w/index.php?oldid=1377082472

Key claims and bibliography are generated from the same tracked claims and sources as the article page.