Software Bug Prediction Dataset. Add a code cell to the notebook and run trainpy. The goal of such a dataset is to allow people to compare different bug prediction approaches and to evaluate whether a new technque is an improvement over existing ones.
We can expect a completely different SDP dataset if we do not limit the Bug Resolution to fixed only. Bugs are inescapable during software development due to frequent code changes tight deadlines etc. Software bug prediction is a technique in which a prediction model is created in order to predict the future software faul ts based on historical data.
This is a Promise data set made publicly available in order to encourage repeatable verifiable refutable andor improvable predictive models of software engineering.
Numeric McCabes line count of code. Bug prediction dataset. All the files provide data at the class level. Mustafa CEVIK updated 3 years ago.
