JSClassFinder: A Tool to Detect Class-like Structures in JavaScript

Leonardo Humberto Silva (1) , Daniel Hovadick (2) , Marco Tulio Valente (2) , Alexandre Bergel (3, 4) , Nicolas Anquetil (5) , Anne Etien (5)

1 DCC - UFMG - Departamento de Ciência da Computação [Minas Gerais]
2 UFMG - Universidade Federal de Minas Gerais = Federal University of Minas Gerais [Belo Horizonte, Brazil]
3 PLEIAD
4 DCC - Computer Science Department [Santiago]
5 RMOD - Analyses and Languages Constructs for Object-Oriented Application Evolution

With the increasing usage of JavaScript in web applications, there is a great demand to write JavaScript code that is reliable and maintainable. To achieve these goals, classes can be emulated in the current JavaScript standard version. In this paper, we propose a reengineering tool to identify such class-like structures and to create an object-oriented model based on JavaScript source code. The tool has a parser that loads the AST (Abstract Syntax Tree) of a JavaScript application to model its structure. It is also integrated with the Moose platform to provide powerful visualization, e.g., UML diagram and Distribution Maps, and well-known metric values for software analysis. We also provide some examples with real JavaScript applications to evaluate the tool.

Domaines: Langage de programmation [cs.PL]

Leonardo Humberto Silva, Daniel Hovadick, Marco Tulio Valente, Alexandre Bergel, Nicolas Anquetil, et al.. JSClassFinder: A Tool to Detect Class-like Structures in JavaScript. CBSOFT’15 - Brazilian Conference on Software: Theory and Practice, Sep 2015, Belo Horizonte, Brazil. ⟨hal-01369705⟩