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Implementation of our three domain-independent encodings for using software models (MDE) with machine learning techniques in the context of feature location.

Implementation of our three domain-independent encodings for using software models (MDE) with machine learning techniques in the context of feature location.

by administrador | Aug 1, 2021 | Academic Software Tool

Are you working on the intersection of Machine Learning and Model Driven Engineering? We have three domain-independent encodings that can help you to achieve better results: The Source Encoding: this encoding is based on the main concepts and relations of a domain...
Implementation of topic modeling (LDA) for feature location

Implementation of topic modeling (LDA) for feature location

by administrador | Jun 25, 2021 | Academic Software Tool

Latent Dirichlet Allocation (LDA) is one of the most popular topic modeling methods. Topic modeling is a popular and promising information retrieval technique that represents topics by word probabilities. Here you cand find our open-source implementation of the LDA...
Implementation of strategies for nonconforming individuals when searching in model artifacts

Implementation of strategies for nonconforming individuals when searching in model artifacts

by administrador | May 16, 2021 | Academic Software Tool

The search space can be huge when searching in model artifacts (magnitudes of around 10150 for models of 500 elements). By handling the nonconforming individuals, the search space can be drastically reduced. We present a set of nine generic strategies for...
Implementation of automatic Query Reformulations as Genetic Operations

Implementation of automatic Query Reformulations as Genetic Operations

by administrador | Apr 5, 2021 | Academic Software Tool

In the combination of Model-Driven Engineering (MDE) and Search-Based Software Engineering (SBSE), genetic operations are one of the key ingredients. Our work proposes a novel adaptation of automatic query reformulations as genetic operations that leverage...
EMoGen tool: Evolutionary Model Generation

EMoGen tool: Evolutionary Model Generation

by administrador | Jan 8, 2021 | Academic Software Tool

EMoGen generates software models that are comparable in quality to the models created by human developers. Automatically generating human-competitive software models is a challenging task. Fully achieving it spans the creation of model elements, the...
TLR-ELtoR tool: Evolutionary Learning to Rank for Traceability Link Recovery )

TLR-ELtoR tool: Evolutionary Learning to Rank for Traceability Link Recovery )

by administrador | May 1, 2020 | Academic Software Tool

TLR-ELtoR recovers traceability links between a requirement and a model through the combination of evolutionary computation and machine learning techniques, generating as a result a ranking of model fragments that can realize the requirement. Our public online...
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  • Implementation of our three domain-independent encodings for using software models (MDE) with machine learning techniques in the context of feature location.
  • Our Genetic Modeling work is an award-winning work!
  • UML vs DSL @ CAISE21
  • Implementation of topic modeling (LDA) for feature location
  • Our collaboration with LiP6 (Sorbonne University) presented at ICSE21

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