A fuzzy TOPSIS implementation and its usage for selecting a software defect prediction method
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Updated
Jul 2, 2022 - Java
A fuzzy TOPSIS implementation and its usage for selecting a software defect prediction method
DEPTs: Parameter tuning for software fault prediction with different variants of differential evolution *** Parameter tuners for software analytics problems ***
Defect prediction in Softwares. The Metrics Data Program dataset provided by NASA has been used.
GitHub network mining tool to predict defects in projects.
The RADON defect predictor for IaC based on the Scikit-learn Python framework
Code of Master's thesis Machine Learning for Interactive Performance Prediction
Epsilon domination
Replication package for Software Defect Prediction Using Rich Contextualized Language Use Vectors
BUGZY - Automated machine learning model to predict if a git commit is a bug fix. Based on topic modeling and natural language processing, it is built with SVM and Latent Dirichlet Allocation (LDA).
Predict the probability of various defects on steel plates.
An implementation of the SZZ algorithm, i.e., an approach to identify bug-introducing commits.
Weldright -Techfest repository
Defect prediction guided search-based software testing (SBST-DPG)
a project about software prediction
Buggyrank is a tool that perform bug prediction by analyzing git repositories.
Tuning of parameters of ML algorithms to optimise precision/f-score for fault detection in softwares
An offline crystal library, which includes about tens of thousand structure calculated by VASP.
A ML model that predicts the number of bugs that might occur while reaching the QA Stage.
Mahakil Code
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