Assessing single-objective performance convergence and time complexity for refactoring detection

The automatic detection of refactoring recommendations has been tackled in prior optimization studies involving bad code smells, semantic coherence and importance of classes; however, such studies informally addressed formalisms to standardize and replicate refactoring models. We propose to assess t...

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Autores:

Tipo de recurso:

Fecha de publicación:

2018

Institución:

Universidad del Rosario

Repositorio:

Repositorio EdocUR - U. Rosario

Idioma:

eng

OAI Identifier:

oai:repository.urosario.edu.co:10336/24121

Acceso en línea:

https://doi.org/10.1145/3205651.3208294
https://repository.urosario.edu.co/handle/10336/24121

Palabra clave:

Combinatorial optimization
Computer software maintenance
Information analysis
Semantics
Simulated annealing
Automatic Detection
Combinatorial techniques
Computational solutions
Empirical analysis
Mathematical software
Optimization studies
Refactorings
Time complexity analysis
Evolutionary algorithms
Combinatorial Optimization
Mathematical Software Performance
Refactoring
Software Maintenance

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