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Randoop scraper is a project intended to allow quickly gathering literal values from Java source files for use by the Randoop unit test generator tool https://github.com/randoop/randoop . The tool scans individual files or directory trees looking for Java source files and scans each file looking for literal values, integers, characters, bytes, floating-point, and strings for use as literal values during Randoop test suite creation. The values found are then formatted for use by Randoop using the --literals-file command-line flag.

The parsing performed on the Java source files is performed using the Javaparser library, https://github.com/javaparser which permits extracting literal values from source with minimal effort. Each value found during the parsing is normalized and formatted as a string for use in the Randoop compatible literals file creation phase. Due to the way Javaparser operates, certain types of literal values are treated as equivalent types despite their use in in the Java source. An example of this is byte, short and long values in the original Java source are all considered to be integer values by the Javaparser library, despite these having been defined explicitly as one of the aforementioned types. This tool does not attempt determine what was actually defined in the original code for these but instead checks each value to determine what Java types it can be applicable to, and creates literal values according to this. To do this the tool compares the integer literal value to MAX_BYTE, MAX_SHORT and MAX_LONG as well as the minimum values defined by Java, and assigns the value to all literal types that can support the value, e.g. a value of 3 could be a byte, a short, a long or an int value, thus it would create one for each type for inclusion into the literals file created for Randoop. Similarly, the Java double and float types also have this comparison to maximum/minimum to determine what types that particular literal value could apply to. The Javaparser also elides the negation operators from the literal values it supplies to this tool, however this is mitigated by the mutation operations.

The tool also performs mutation upon the literal values found to enhance the value set and provide more interesting values for use by Randoop. The mutations applied are as follows:

• Integer and floating point value negation
• Integer value mutation by off-by-one
• Floating point reciprocal

During creation of the Randoop literals text file (the output of this tool) duplicate values that are already part of the default Randoop literals set are eliminated.

Owing to the way Randoop works, this method may be suboptimal due to the combinatoric explosion that can result when Randoop performs input selection for methods, particularly those that require multiple literal values to be supplied. Thus, using this tool you should be aware of this and inspect the output manually to eliminate those values that are not considered interesting. Any values that are known to be required by Randoop for testing your application should also be manually inserted into the literals file created, e.g. login and password information for interfacing to web resources.