apache / flink-ml
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
3,762 LOC (9%)
24 files
|
found text per file
|
found text per file
1 GENERAL Concerns
The "general" group contains
2
concerns.
TODOs
Unclassified
general
1.1 TODOs
3,762 LOC (9%)
24 files
|
found text per file
|
found text per file
The following criteria are used to filter files:
files with any line of content like "
.*(TODO|FIXME)( |:| ).*
".
24
files match defined criteria (
3,762
LOC,
9.9%
vs. main code):
21
*.java files (
3,361
LOC)
3
*.py files (
401
LOC)
26
lines match the content pattern.
details...
per component - primary logical decomposition
flink-ml-lib
in 3 files, 562 LOC (3%)
flink-ml-iteration
in 10 files, 1,778 LOC (20%)
flink-ml-python
in 4 files, 590 LOC (13%)
flink-ml-core
in 6 files, 728 LOC (17%)
flink-ml-servable-core
in 1 file 104 LOC (4%)
