Introduction

prober is an automated software bug predictor using machine learning techniques. Specifically, proper trains prediction model based on open source datasets, and then predicts whether some code has a bug or not. The prediction is based on various code features, such as McCabe features, Halstead features, etc.

How it works

• traning data is from open source dataset
• training algorithm is based on tensorflow and keras
• features extraction algorithm is specifc for each feature and each programming language. For java, the feature extraction algorithm can be found in java

How to use

traning

Install dependencies:

pip install -r requirements.txt

Start traning:

python -m prober.prober

Extract java features:

gradle build && gradle execute

LISENSE

MIT