tensorflow / tensorboard
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
6,932 LOC (5%)
12 files
|
found text
|
found text per file
1 GENERAL Concerns
The "general" group contains
2
concerns.
TODOs
Unclassified
general
1.1 TODOs
6,932 LOC (5%)
12 files
|
found text
|
found text per file
The following criteria are used to filter files:
files with any line of content like "
.*(TODO|FIXME)( |:| ).*
".
12
files match defined criteria (
6,932
lines of code,
5.6%
vs. main code):
9
*.ts files (
6,028
lines of code)
3
*.py files (
904
lines of code)
14
lines match the content pattern.
details...
per component - primary logical decomposition
tensorboard/plugins
in 8 files, 5,836 LOC (10%)
tensorboard/webapp
in 1 file 192 LOC (<1%)
tensorboard/compat
in 2 files, 721 LOC (12%)
tensorboard/backend
in 1 file 183 LOC (6%)