aws-samples / deep-learning-models
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
6,155 LOC (25%)
27 files
|
found text
|
found text per file
1 GENERAL Concerns
The "general" group contains
2
concerns.
TODOs
Unclassified
general
1.1 TODOs
6,155 LOC (25%)
27 files
|
found text
|
found text per file
The following criteria are used to filter files:
files with any line of content like "
.*(TODO|FIXME)( |:| ).*
".
27
files match defined criteria (
6,155
lines of code,
25.4%
vs. main code). All matches are in *.py files.
50
lines match the content pattern.
details...
per component - primary logical decomposition
models/vision/detection
in 16 files, 2,433 LOC (15%)
models/vision/classification
in 3 files, 975 LOC (42%)
legacy/models/resnet
in 1 file 923 LOC (63%)
models/nlp/albert
in 2 files, 963 LOC (84%)
ci/frcnn
in 1 file 144 LOC (13%)
models/nlp/common
in 3 files, 313 LOC (40%)
models/nlp/electra
in 1 file 404 LOC (93%)