Welcome to a sample client of the Nice2Predict framework called UnuglifyJS — a JavaScript deminifier implementation which extracts properties and features as described in JSNice. The UnuglifyJS client takes as an input JavaScript program with minified names and is responsible for:

• defining known and unknown properties. The known properties are program constants, objects properties, methods and global variables – that is, program parts which cannot be (soundly) renamed (e.g. the DOM APIs). The unknown properties are all local variables
• defining features that relate properties. As an example feature is (r, length) - VarDef, which captures the fact that definition of variable r appears together with accessing attribute length in the code snippet 'var r = e.length;'

Given the extracted properties and features, we use Nice2Predict framework to train a statistical model and to answer subsequent MAP inference queries (i.e., finding the best assignment of labels to properties).

The whole process of name prediction is illustrated in four steps. To start, provide an input JavaScript or use the default one provided. For more detailed information please refer to the documentation at UnuglifyJS.