spotify / flink
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
77,233 LOC (11%)
258 files
|
found text per file
|
found text per file
1 GENERAL Concerns
The "general" group contains
2
concerns.
TODOs
Unclassified
general
1.1 TODOs
77,233 LOC (11%)
258 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)( |:| ).*
".
258
files match defined criteria (
77,233
LOC,
11.7%
vs. main code):
174
*.java files (
51,040
LOC)
81
*.scala files (
24,233
LOC)
2
*.py files (
1,681
LOC)
1
*.clj files (
279
LOC)
379
lines match the content pattern.
details...
per component - primary logical decomposition
flink-table
in 137 files, 37,746 LOC (17%)
flink-runtime
in 39 files, 13,778 LOC (10%)
flink-core
in 9 files, 2,002 LOC (3%)
flink-connectors
in 26 files, 7,560 LOC (17%)
flink-streaming-java
in 15 files, 5,001 LOC (13%)
flink-python
in 5 files, 2,171 LOC (10%)
flink-formats
in 7 files, 2,436 LOC (13%)
flink-filesystems
in 1 file 236 LOC (1%)
flink-java
in 3 files, 949 LOC (7%)
flink-state-backends
in 11 files, 2,609 LOC (28%)
flink-scala
in 2 files, 773 LOC (12%)
flink-yarn
in 2 files, 1,693 LOC (36%)
flink-jepsen
in 1 file 279 LOC (22%)