24th International Conference, PROFES 2023, Dornbirn, Austria, December 10–13, 2023, Proceedings, Part II Kadgien, Regine. editor. edt http://id.loc.gov/vocabulary/relators/edt Jedlitschka, Andreas. editor. edt http://id.loc.gov/vocabulary/relators/edt Janes, Andrea. editor. edt http://id.loc.gov/vocabulary/relators/edt Lenarduzzi, Valentina. editor. edt http://id.loc.gov/vocabulary/relators/edt Li, Xiaozhou. editor. edt http://id.loc.gov/vocabulary/relators/edt SpringerLink (Online service) text sz 2024 1st ed. 2024. monographic eng

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access XVI, 155 p. 29 illus., 24 illus. in color. online resource. This book constitutes the refereed proceedings of the 24th International Conference on Product-Focused Software Process Improvement, PROFES 2023, which took place in Dornbirn, Austria, in December 2023. The 21 full technical papers, 6 industrial papers, 8 short papers and 1 poster paper were carefully reviewed and selected from 82 submissions. The book also contains one tutorial paper, 11 workshop papers and 3 doctoral symposium papers. The contributions were organized in topical sections as follows: Part I: Software development and project management; machine learning and data science; software analysis and tools; software testing and quality assurance; security, vulnerabilities, and human factors; Part II: Posters; Tutorials; 2nd Workshop on Computational Intelligence and Software Engineering (CISE 2023); 2nd Workshop on Engineering Processes and Practicesfor Quantum Software (PPQS’ 23); doctoral symposium. Poster -- Metrics for Code Smells of ML Pipelines -- Tutorial -- Declarative Process Mining for Software Processes: the RuM toolkit and the Declare4Py Python library -- 2nd Workshop on Computational Intelligence and Software Engineering (CISE 2023) -- MaREA: Multi-class Random Forest for Automotive Intrusion Detection -- Forecasting The Developer's Impact in Managing the Technical Debt -- Development of a Desktop Application to Enable Doctors to Remotely Monitor Patients’ Hematological Parameters -- The significance of classical simulations in the adoption of quantum technologies for software development -- Enhancing Bug-Fixing Time Prediction with LSTM-Based Approach -- Enhancing Code Obfuscation Techniques: Exploring the Impact of Artificial Intelligence on Malware Detection -- A perspective on the interplay between 5G and quantum computing for secure algorithm -- Speech Therapy supported by AI and smart assistants -- 2nd Workshop on Engineering Processes and Practices for Quantum Software (PPQS’ 23) -- Integration of Classical and Quantum Services Using an Enterprise Service Bus -- Problem decomposition to leverage quantum computing for optimization problems -- Quantum Algorithm Cards: Streamlining the development of hybrid classical-quantum applications -- Doctoral Symposium -- Simulation-Based Safety Testing of Automated Driving Systems -- Utilization of Machine Learning for the detection of self-admitted vulnerabilities -- Closing the Loop: Towards a Complete Metamorphic Testing Pipeline. edited by Regine Kadgien, Andreas Jedlitschka, Andrea Janes, Valentina Lenarduzzi, Xiaozhou Li. Software engineering Operating systems (Computers) Information technology Management Computer networks  Artificial intelligence Education Data processing Software Engineering Operating Systems Computer Application in Administrative Data Processing Computer Communication Networks Artificial Intelligence Computers and Education QA76.758 9783031492693 https://doi.org/10.1007/978-3-031-49269-3 https://doi.org/10.1007/978-3-031-49269-3 231201 20251030110846.0 978-3-031-49269-3