Software Quality Review – Scribe OAuth Library

Scribe OAuth Library helps you do quick OAuth based integration with some of the following web applications:

  • Google
  • Facebook
  • Twitter
  • LinkedIn and many more.

You could find further details on following page on github.

Following will present information on different perspectives:

Structure

Scribe OAuth Library Code Structure

 

Maintainability

Maintainability

The duplication percentage isn’t very high. Duplication is one of the key criteria that reflects on the maintainability of the code. Higher the duplication, difficult is the code to maintain. Duplication is also considered as one of the code smells. Also, due to unavailability of unit tests in the source code bundle, I could not find the test coverage. Otherwise, test coverage depicts the testability of the code which is a good measure of maintainability.

Usability

Usability

Following are observations from Usability perspective:

  1. Documentation is just 12.9 %. This represents lack of enough documentation in the code and may impact the learnability and understandability of the code.
  2. Code complexity is pretty low and represents the modularity of the code.

 Overall, the software code quality can be rated as “High”.

Ajitesh Kumar

I have been recently working in the area of Data analytics including Data Science and Machine Learning / Deep Learning and BI. I would love to connect with you on Linkedin. Check out my books titled as Designing Decisions, and First Principles Thinking.

Recent Posts

The Watermelon Effect: When Green Metrics Lie

We’ve all been in that meeting. The dashboard on the boardroom screen is a sea…

2 weeks ago

Coefficient of Variation in Regression Modelling: Example

When building a regression model or performing regression analysis to predict a target variable, understanding…

3 months ago

Chunking Strategies for RAG with Examples

If you've built a "Naive" RAG pipeline, you've probably hit a wall. You've indexed your…

3 months ago

RAG Pipeline: 6 Steps for Creating Naive RAG App

If you're starting with large language models, you must have heard of RAG (Retrieval-Augmented Generation).…

3 months ago

Python: List Comprehension Explained with Examples

If you've spent any time with Python, you've likely heard the term "Pythonic." It refers…

3 months ago

Large Language Models (LLMs): Four Critical Modeling Stages

Large language models (LLMs) have fundamentally transformed our digital landscape, powering everything from chatbots and…

6 months ago