Litcius/Paper detail

SE<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" id="d1e1338" altimg="si1.svg"><mml:msup><mml:mrow/><mml:mrow><mml:mn>3</mml:mn></mml:mrow></mml:msup></mml:math>M: A model for software effort estimation using pre-trained embedding models

Eliane Maria De Bortoli Fávero, Dalcimar Casanova, Andrey Ricardo Pimentel

2022Information and Software Technology19 citationsDOI

Topics & Concepts

Context (archaeology)Computer scienceArtificial intelligenceGeneralizationEmbeddingMachine learningSentenceProcess (computing)SoftwareNatural language processingData miningMathematicsProgramming languageArchaeologyHistoryMathematical analysisSoftware Engineering ResearchSoftware Engineering Techniques and PracticesSoftware Reliability and Analysis Research
SE<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" id="d1e1338" altimg="si1.svg"><mml:msup><mml:mrow/><mml:mrow><mml:mn>3</mml:mn></mml:mrow></mml:msup></mml:math>M: A model for software effort estimation using pre-trained embedding models | Litcius