HappyFaceInfo

Descriptions for the HappyFace project and paper that is too long to fit within the limits of the VL/HCC submission

Python Library Features

AST library (Python 2 | Python 3)
- Abstract Syntax Tree module that helps discover the grammar structure of Python 2 or 3 code.
- Full list of nodes located in section 32.2.2 for each library.
Keywords (Python 2 | Python 3)
- Reserved Python 2 or 3 keywords such as if, else, True, and False.
Builtins (Python 2 | Python 3)
- Built-in objects for Python 2 or 3, including built-in functions (abs(), len()), constants (True, False, None), and types like boolean operations (or, and, not), comparsion operations (<, >, is), and numeric types (int, float, complex).

Derived from De-anonymizing Programmers via Code Stylometry, Caliskan et al.
- We used the features present in tables 2, 3, and most features in table 4.

Wordgrams extracted using regex to detect commonly used words in the code snippets.
- Ex. ThisWordGram becomes [This, Word, Gram].
- Wordgrams are extracted in hopes of discovering words associated with frustration.

Obtained through user selection of affect on the HappyFace survey.
- Scores from 1 to 5 (happy to frustrated).

Feature	Description
Frustration	Self-reported affect by programmer casting a vote on the HappyFace survey
Wordgrams	Frequency of specfic words occuring in source code
Each count of the following	Chars, underscores, tabs, spaces, and all whitespace in source code
Lines start with comment	Frequency of lines starting with a comment
Comments	Amount of individual comments
Empty lines	Frequency of completely empty lines
Line count	Amount of lines in the code snippet
Tab starts line	How many lines start with a tab character
Average line length	The average length of the lines of code, in chars
Std of line length	Standard deviation of line length of the source code
Python keywords	Total count of reserved keywords in the Python language
Python builtins	Total count of builtin objects (functions, constants, and types) in the Python language
Unique keywords	Count of unique keywords and builtins used
AST nodes	Count of each AST node present in code, extracted by parsing and traversing the AST
Errors	Specific errors that occur when code is parsed into AST