Class: GeneratedDiffEvaluation

GeneratedDiffEvaluation(adapters)

An evaluation of diff algorithms using generated test cases.

Constructor

new GeneratedDiffEvaluation(adapters)

Construct a new GeneratedDiffEvaluation instance.
Parameters:
Name Type Description
adapters Array.<DiffAdapter> The adapters of the algorithms to use for the evaluation.
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Classes

GeneratedDiffEvaluation

Methods

(static) all() → {GeneratedDiffEvaluation}

Create a new GeneratedDiffEvaluation instance using all algorithms.
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Returns:
Type
GeneratedDiffEvaluation

average(constChanges, constSize, local)

Evaluate diff algorithms using random process trees of increasing size. The results are relative to a proposed edit script and represent the average of multiple runs with trees of similar size.
Parameters:
Name Type Default Description
constChanges Boolean If the number of changes should remain constant.
constSize Boolean If the size of the trees should remain constant.
local Boolean false If a constant number of changes should be applied locally, i.e. to a small region of the process tree. If set to false, changes are growing and randomly distributed within the tree.
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evalAll()

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publishLatex(resultsPerAdapter, xFunc)

Print the Latex plots for a list or results.
Parameters:
Name Type Description
resultsPerAdapter Map.<String, Array.<AverageDiffResult>> The results grouped by algorithm.
xFunc function A function that maps each result to the x-value in the latex plot.
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single(constChanges, constSize, local)

Evaluate diff algorithms using random process trees.
Parameters:
Name Type Default Description
constChanges Boolean If the number of changes should remain constant.
constSize Boolean If the size of the trees should remain constant.
local Boolean false If a constant number of changes should be applied locally, i.e. to a small region of the process tree. If set to false, changes are growing and randomly distributed within the tree.
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