aws-samples / aws-ml-jp
Components & Dependencies

An overview of source code logical components.

Intro

Logical decomposition is a representation of the organization of the main source code, where every and each file is put in exactly one logical component.

  • A software system can have one or more logical decompositions.
  • A logical decomposition can be defined in two ways in Sokrates.
  • First approach is based on the folders structure. Components are mapped to folders at defined folder depth relative to the source code root.
  • Second approach is based on explicit definition of each component. In such explicit definitions, components are explicitly named and their files are selected based on explicitly defined path and content filters.
  • A logical decomposition is considered invalid if a file is selected into two or more components.This constraint is introduced in order to facilitate measuring of dependencies among components.
  • Files not assigned to any component are put into a special "Unclassified" component.
Learn more...
Logical Decompositions Overview

Analyzed system has 1 logical decomposition:

  • primary (14 components)

Logical Decomposition #1: PRIMARY

The decompositions is based on the folder structure (relative to the source code root), with automatically defined folder depth to have at least 10 components.

Bubble Chart | Tree Map
Components
The "primary" logical decomposition has 14 components.
  • 68 files, 4,814 lines of code (19.9% vs. main code).
  • "sagemaker/sagemaker-inference" is biggest, containing 21.06% of code.
  • "sagemaker/tensorflow2-training-and-serving" is smallest, containing 1% of code.


sagemaker/sagemaker-inference1014 LOC (4%) 17 files
vision/amazon-sagemaker-pytorch-detectron21000 LOC (4%) 12 files
sagemaker/distributed-training648 LOC (2%) 6 files
autogluon/tabular-prediction482 LOC (1%) 3 files
inference/edge446 LOC (1%) 9 files
sagemaker/hpo-pytorch-mnist211 LOC (<1%) 2 files
nlp/nlp_amazon_review191 LOC (<1%) 5 files
sagemaker/sagemaker-experiments181 LOC (<1%) 2 files
sagemaker/workshop164 LOC (<1%) 2 files
ai-services/forecast136 LOC (<1%) 3 files
mlops/sagemaker-pipelines117 LOC (<1%) 2 files
sagemaker/sagemaker-processing94 LOC (<1%) 2 files
mlops/edge-deploy82 LOC (<1%) 2 files
sagemaker/tensorflow2-training-and-serving48 LOC (<1%) 1 files
Dependencies
Dependencies among components are static code dependencies among files in different components.

No component dependencies found.


2022-01-31 17:24