[HTML][HTML] To automatically map source code entities to architectural modules with Naive Bayes
Background: The process of mapping a source code entity onto an architectural module is to
a large degree a manual task. Automating this process could increase the use of static …
a large degree a manual task. Automating this process could increase the use of static …
A comparison of machine learning-based text classifiers for mapping source code to architectural modules
A Florean, L Jalal, ZT Sinkala… - 15th European Conference …, 2021 - diva-portal.org
A mapping between a system's implementation and its software architecture is mandatory in
many architecture consistency checking techniques. Creating such a mapping manually is a …
many architecture consistency checking techniques. Creating such a mapping manually is a …
Mapping Source Code to Modular Architectures Using Keywords
We implement an automatic mapper that can find the corresponding architectural module for
a source code file. The mapper is based on multinomial naive Bayes, and it is trained using …
a source code file. The mapper is based on multinomial naive Bayes, and it is trained using …
Generating Seed Mappings for Machine Learning-Based Code-to-Architecture Mappers Using InMap
ZT Sinkala, S Herold - ACM SIGAPP Applied Computing Review, 2024 - dl.acm.org
Software architecture consistency checking (SACC) is a popular method to detect
architecture degradation. Most SACC techniques require software engineers to manually …
architecture degradation. Most SACC techniques require software engineers to manually …
Hard cases in source code to architecture mapping using Naive Bayes
The automatic mapping of source code entities to architectural modules is a challenging
problem that is necessary to solve if we want to increase the use of Static Architecture …
problem that is necessary to solve if we want to increase the use of Static Architecture …
Incremental Clustering of Source Code: a Machine Learning Approach
T Olsson - 2022 - diva-portal.org
Approach, Linnaeus University Dissertations No 436/2022, ISBN: 978-91-89460-63-8 (print),
978-91-89460-64-5 (pdf). Technical debt at the architectural level is a severe threat to …
978-91-89460-64-5 (pdf). Technical debt at the architectural level is a severe threat to …
Using Automatically Recommended Seed Mappings for Machine Learning-Based Code-to-Architecture Mappers
Software architecture consistency checking (SACC) is a popular method to detect
architecture degradation. Most SACC techniques require software engineers to manually …
architecture degradation. Most SACC techniques require software engineers to manually …
Optimized dependency weights in source code clustering
Some methods use the dependencies between source code entities to perform clustering to,
eg, automatically map to an intended modular architecture or reconstruct the implemented …
eg, automatically map to an intended modular architecture or reconstruct the implemented …
Optimized Machine Learning Input for Evolutionary Source Code to Architecture Mapping
Automatically mapping source code to architectural modules is an interesting and difficult
problem. Mapping can be considered a classification problem, and machine learning …
problem. Mapping can be considered a classification problem, and machine learning …
A Preliminary Study on the Use of Key-words for Source Code to Architecture Mappings
We implement an automatic mapper that can find the corresponding architectural module for
a source code file. The mapper is based on multinomial naive Bayes, and it is trained using …
a source code file. The mapper is based on multinomial naive Bayes, and it is trained using …