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This book constitutes the refereed post proceedings of the 18th International Conference on Software Technologies, ICSOFT 2023, held in Rome, Italy, during July 10-12, 2023. The 7 full papers included in this book were carefully reviewed and selected from 129 submissions. They focus on Software Engineering and Systems Development; Software Systems and Applications; and Foundational and Trigger Technologies.
This book constitutes the refereed post proceedings of the 18th International Conference on Software Technologies, ICSOFT 2023, held in Rome, Italy, during July 10-12, 2023.
The 7 full papers included in this book were carefully reviewed and selected from 129 submissions. They focus on Software Engineering and Systems Development; Software Systems and Applications; and Foundational and Trigger Technologies.
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Inhaltsangabe
.- Green Evolutionary Algorithms and JavaScript: A Study on Different Software and Hardware Architectures. .- Low-Modeling of Software Systems. .- Model-Driven Security Smell Resolution in Microservice Architecture Using LEMMA. .- Indentation and Reading Time: A Controlled Experiment on the Differences Between Generated Indented and Non-Indented JSON Objects. .- The Sustainable User Experiences Enabled Human-Centered Framework for Systems Design. .- DeepPull: Deep Learning-Based Approach for Predicting Reopening, Decision, and Lifetime of Pull Requests on GitHub Open-Source Projects. .- On the Relevance of Graph2Vec Source Code Embeddings for Software Defect Prediction.
.- Green Evolutionary Algorithms and JavaScript: A Study on Different Software and Hardware Architectures. .- Low-Modeling of Software Systems. .- Model-Driven Security Smell Resolution in Microservice Architecture Using LEMMA. .- Indentation and Reading Time: A Controlled Experiment on the Differences Between Generated Indented and Non-Indented JSON Objects. .- The Sustainable User Experiences Enabled Human-Centered Framework for Systems Design. .- DeepPull: Deep Learning-Based Approach for Predicting Reopening, Decision, and Lifetime of Pull Requests on GitHub Open-Source Projects. .- On the Relevance of Graph2Vec Source Code Embeddings for Software Defect Prediction.
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