awslabs / predictive-maintenance-using-machine-learning
Features of Interest

Aspects in the source code identified through RegEx patterns.

Intro
  • Features of interest are any aspects of a software system that can be identified through patterns in code.
  • Features of interest provide you with a way to focus your attention on relevant parts of the codebase.
  • Typical examples include, security, TODOs, logging.
  • A feature of interest may be present in multiple files. Any source code file may be in zero or multiple features of interest.
Overview

GENERAL

TODOs
62,265 LOC (49%) 94 files | found text | found text per file
1 GENERAL Concerns
  • The "general" group contains 2 concerns.
    • TODOs
    • Unclassified
general
1.1 TODOs
62,265 LOC (49%) 94 files | found text | found text per file
  • The following criteria are used to filter files:
    • files with any line of content like ".*(TODO|FIXME)( |:| ).*".
  • 94 files match defined criteria (62,265 lines of code, 49.6% vs. main code):
    • 92 *.py files (61,217 lines of code)
    • 2 *.h files (1,048 lines of code)
  • 249 lines match the content pattern.
details...