Software Engineering Methods Design and Application [electronic resource] : Proceedings of 13th Computer Science Online Conference 2024, Volume 1 / edited by Radek Silhavy, Petr Silhavy.

Colaborador(es): Silhavy, Radek [editor.] | Silhavy, Petr [editor.] | SpringerLink (Online service)Tipo de material: TextoTextoSeries Lecture Notes in Networks and Systems ; 1118Editor: Cham : Springer Nature Switzerland : Imprint: Springer, 2024Edición: 1st ed. 2024Descripción: XVI, 785 p. 386 illus., 280 illus. in color. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9783031702853Tema(s): Computational intelligence | Software engineering | Computational Intelligence | Software EngineeringFormatos físicos adicionales: Printed edition:: Sin título; Printed edition:: Sin títuloClasificación CDD: 006.3 Clasificación LoC:Q342Recursos en línea: Libro electrónicoTexto
Contenidos:
Enhancing Programming Education Through Gamification -- A Fault diagnosis technique with the combined DNN and CNN using motor current data -- Management of remote work in distributed software development: a systematic literature review -- Cracking the Code: Understanding Source Code Plagiarism to Enable Learning -- Application for monitoring sentiment analysis and ge-olocation in shared vehicle services -- Energy levels of conduction electrons in nickel nanocluster.
En: Springer Nature eBookResumen: This book dives into contemporary research methodologies, emphasising the innovative use of machine learning and statistical techniques in software engineering. Exploring software engineering and its integration into system engineering is pivotal in advancing computer science research. It features the carefully reviewed proceedings of the Software Engineering Research in System Science session of the 13th Computer Science Online Conference 2024 (CSOC 2024), held virtually in April 2024.
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Enhancing Programming Education Through Gamification -- A Fault diagnosis technique with the combined DNN and CNN using motor current data -- Management of remote work in distributed software development: a systematic literature review -- Cracking the Code: Understanding Source Code Plagiarism to Enable Learning -- Application for monitoring sentiment analysis and ge-olocation in shared vehicle services -- Energy levels of conduction electrons in nickel nanocluster.

This book dives into contemporary research methodologies, emphasising the innovative use of machine learning and statistical techniques in software engineering. Exploring software engineering and its integration into system engineering is pivotal in advancing computer science research. It features the carefully reviewed proceedings of the Software Engineering Research in System Science session of the 13th Computer Science Online Conference 2024 (CSOC 2024), held virtually in April 2024.

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