The data, codes and experiment results for the paper 'Does Configuration Encoding Matter in Learning Software Performance? An Empirical Study on Encoding Schemes'
Training a deep learning model on source code has gained significant traction recently. Since such m...
International audienceModeling how contextual factors relate to a software system’s configuration sp...
codes of experiments and analysis which have been used for "Do Machine Learning Platforms Provide Ou...
The data, codes and experiment results for the paper 'Does Configuration Encoding Matter in Learning...
Widely used software systems such as video encoders are by necessity highly configurable, with hundr...
<p>Comparison of the two encoding schemes on the training dataset containing no ‘O’ residues.</p
International audienceMost modern software systems (operating systems like Linux or Android, Web bro...
International audienceWidely used software systems such as video encoders are by necessity highly co...
We use n-gram language models to investigate how far language approximates an optimal code for human...
This study is looking at how we learn by testing three different levels of encoding. Based on how a ...
Dataset and source code used for the paper titled "An Empirical Study of Insecure Coding Patterns in...
This dataset contains all the performance metrics obtained for the paper "On the interplay between p...
The understandability of a program specification has a direct bearing on several important aspects o...
The dataset contains two supporting documents for the paper title, "We Do Not Understand What It Say...
This study discusses the performance parameter measurements of generic files, the pile file, the seq...
Training a deep learning model on source code has gained significant traction recently. Since such m...
International audienceModeling how contextual factors relate to a software system’s configuration sp...
codes of experiments and analysis which have been used for "Do Machine Learning Platforms Provide Ou...
The data, codes and experiment results for the paper 'Does Configuration Encoding Matter in Learning...
Widely used software systems such as video encoders are by necessity highly configurable, with hundr...
<p>Comparison of the two encoding schemes on the training dataset containing no ‘O’ residues.</p
International audienceMost modern software systems (operating systems like Linux or Android, Web bro...
International audienceWidely used software systems such as video encoders are by necessity highly co...
We use n-gram language models to investigate how far language approximates an optimal code for human...
This study is looking at how we learn by testing three different levels of encoding. Based on how a ...
Dataset and source code used for the paper titled "An Empirical Study of Insecure Coding Patterns in...
This dataset contains all the performance metrics obtained for the paper "On the interplay between p...
The understandability of a program specification has a direct bearing on several important aspects o...
The dataset contains two supporting documents for the paper title, "We Do Not Understand What It Say...
This study discusses the performance parameter measurements of generic files, the pile file, the seq...
Training a deep learning model on source code has gained significant traction recently. Since such m...
International audienceModeling how contextual factors relate to a software system’s configuration sp...
codes of experiments and analysis which have been used for "Do Machine Learning Platforms Provide Ou...
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