Our results show that the accuracy of software LoM level prediction reaches ≈ 61% with Cohen's and Shah's κ << 0.1 leading us to suggest that internal, source ...
Our results demonstrate that the accuracy of LoM prediction using the metrics is below 61% with Cohen's and Shah's leading us to suggest that comprehensive sets ...
A fundamental problem and question of software engineering is if LoM can be accurately predicted using internal software metrics alone and how well it can ...
Our results demonstrate that the accuracy of LoM prediction using the metrics is below 61% with Cohen's and Shah's \(\kappa<< 0.1\) leading us to suggest that ...
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Can Software Project Maturity Be Accurately Predicted Using Internal Source Code Metrics? ... software metrics alone and how well it can be actually predicted ...
Three software measurement tools have been applied on them to judge their performance with respect to the metrics mentioned therein. Also a derived metric ...
However, to the best of our knowledge there is no research into a fundamental question of software engineering -can LoM be accurately predicted using internal ...
Sep 9, 2016 · ... Can Software Project Maturity Be Accurately Predicted Using Internal Source Code Metrics?" Machine Learning and Data Mining in Pattern ...
In this paper we use machine learning to create a model that can determine the stage a software project has obtained with some accuracy. Our model uses 8 Open ...