Software Quality Review: JActor

Overall Software Quality Rating: High (from Maintainability & Usability perspective)

We reviewed JActor (http://sourceforge.net/projects/jactor/ ) in our software quality lab. Following is the overall structure of the software:

JActor Code Structure

The evaluation was done using manual and automated techniques. We were able to get findings related with following software quality characteristics:

Maintainability: As per the available data, this has been measured in terms of duplications, and rules compliance. Ideally, test coverage would also have helped to determine the testability of the code.

Our rating: High Maintainability

Refer to the data below retrieved from Sonar code analysis:

Duplications

Rules Compliance

Note the duplications value of 0.4%. This is outstanding. Also, there were no blocker or critical rules violations.

 Usability: This has been measured in terms of McCabe code complexity and documentation and rated accordingly.

 Our rating: High Usability

Code Complexity

Comments

 Note the code complexity to be very low in terms of methods as well as class. This indicates that code is easy to read, understand and learn. Also, the code has decent documentation of 48%.

 Overall rating: JActor can be rated as software of high quality keeping into account quality characteristics such as maintainability and usability. That said, we have not evaluated from functionality perspective and could not comment on that regard.

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Ajitesh Kumar

I have been recently working in the area of Data analytics including Data Science and Machine Learning / Deep Learning. I am also passionate about different technologies including programming languages such as Java/JEE, Javascript, Python, R, Julia, etc, and technologies such as Blockchain, mobile computing, cloud-native technologies, application security, cloud computing platforms, big data, etc. I would love to connect with you on Linkedin.
Check out my latest book titled as First Principles Thinking: Building winning products using first principles thinking.

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