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research:software:effscript [2015/06/24 23:41] – mtororesearch:software:effscript [2015/08/19 14:02] (current) – mtoro
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 ====== EffScript: Practical Effects for Scala ====== ====== EffScript: Practical Effects for Scala ======
 +
 +{{bib>toroTanter-oopsla2015|Customizable Gradual Polymorphic Effects for Scala}} accepted at [[http://2015.splashcon.org/track/oopsla2015|OOPSLA 2015]] [[http://2015.splashcon.org/track/splash2015-artifacts|{{research:aec-oopsla.png?100}}]]
  
 EffScript is a small domain-specific language for writing tailored effect disciplines for Scala. In addition to being customizable, the underlying effect system supports both effect polymorphism (as developed by Lukas Rytz in his PhD thesis) and gradual effect checking (following the theory of Bañados, Garcia and Tanter). EffScript is a small domain-specific language for writing tailored effect disciplines for Scala. In addition to being customizable, the underlying effect system supports both effect polymorphism (as developed by Lukas Rytz in his PhD thesis) and gradual effect checking (following the theory of Bañados, Garcia and Tanter).
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 - matplotlib - matplotlib
  
-Place the content of the zip file inside the benchmark folder. Then, edit 'runbenchmark' file to set the number of iteration by editing variable 'n':+Place the content of the zip file inside the benchmark folder. Then, edit ''runbenchmark'' file to set the number of iteration by editing variable ''n'':
  
 <code bash> <code bash>
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 </code> </code>
  
- +<HTML> 
-Before running the benchmarks we recommend re packaging the CollsSimple project:+<p style="border:1px solid red;padding:5px;"> 
 +Before running the benchmarks we recommend re packaging the CollsSimple project. The reason for this is that at the moment of the artifact submission, CollsSimple was compiled and packaged using the bit vector version of the compiler plugins. Later we updated the effect compiler plugins but we did not repackage the project.</p> 
 +</HTML>
 <code bash> <code bash>
 cd CollsSimple cd CollsSimple
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 </code> </code>
  
-To run the benchmarks, at the root of the benchmarks folder run +:+To run the benchmarks, at the root of the benchmarks folder run:
 <code bash> <code bash>
 ./runbenchmark > outputbenchmark ./runbenchmark > outputbenchmark
 </code> </code>
  
-The execution will output the results in 'outputbenchmark' file. We have provided a 'outputbenchmark' example file.+The execution will output the results in ''outputbenchmark'' file. We have provided a ''outputbenchmark'' example file.
  
 To plot the results just run: To plot the results just run:
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 python buildGraph.py python buildGraph.py
 </code> </code>
-It will generate a 'benchmark.pdf' file with the plot. We have provided a 'benchmark.pdf' example file.+It will generate a ''benchmark.pdf'' file with the plot. We have provided a ''benchmark.pdf'' example file.