24th International Conference, PROFES 2023, Dornbirn, Austria, December 10–13, 2023, Proceedings, Part I 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, 529 p. 121 illus., 103 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, 8 short papers, and 1 poster paper presented in this volume were carefully reviewed and selected from 82 submissions. The book also contains one tutorial paper, 12 and 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 Practices for Quantum Software (PPQS’ 23); doctoral symposium. . Software Development and Project Management -- Virtual Reality Collaboration Platform for Agile Software Development -- Effects of Ways of Working on Changes to Understanding of Benefits – Comparing Projects and Continuous Product Development -- To Memorize or to Document: A Survey of Developers’ Views on Knowledge Availability -- Facilitating Security Champions in software projects - an experience report from Visma -- Benefits and Challenges of an Internal Corporate Accelerator in a Software Company: An Action-Research Study -- A Process for Scenario Prioritization and Selection in Simulation-Based Safety Testing of Automated Driving Systems -- The Journey to Serverless Migration: An Empirical Analysis of Intentions, Strategies, and Challenges -- On the Role of Font Formats in Building Efficient Web Applications -- Web Image Formats: Assessment of Their Real-World-Usageand Performance across Popular Web Browsers -- Machine Learning and Data Science -- Operationalizing Assurance Cases for Data Scientists: A Showcase of Concepts and Tooling in the Context of Test Data Quality for Machine Learning -- Status Quo and Problems of Requirements Engineering for Machine Learning: Results from an International Survey -- A Stochastic Approach Based on Rational Decision-Making for Analyzing Software Engineering Project Status -- CAIS-DMA: A Decision-Making Assistant for Collaborative AI Systems -- Comparing machine learning algorithms for medical time-series data -- What Data Scientists (Care to) Recall -- Software Analysis and Tools -- Using AI-Based Code Completion for Domain Specific Languages -- Assessing IDEA Diagrams for Supporting Analysis of Capabilities and Issues in Technical Debt Management -- Automatic Fixation of Decompilation Quirks Using Pre-Trained Language Model -- Log Drift Impact on Online Anomaly Detection Workflows -- Leveraging Historical Data to Support User Story Estimation -- Design Patterns Understanding and Use in the Automotive Industry: An Interview Study -- Software Testing and Quality Assurance -- An Experience in the Evaluation of Fault Prediction -- Is It the Best Solution? Testing An Optimisation Algorithm with Metamorphic Testing -- Impacts of Program Structures on Code Coverage of Generated Test Suites -- Anomaly Detection Through Container Testing: A Survey of Company Practices -- The Effects of Soft Assertion on Spectrum-based Fault Localization -- Characterizing Requirements Smells -- Do Exceptional Behavior Tests Matter on Spectrum-based Fault Localization -- On Deprecated API Usages: an Exploratory Study of Top-starred Projects on GitHub -- Security, Vulnerabilities, and Human Factors -- Evaluating Microservice Organizational Coupling based on Cross-service Contribution -- On Fixing Bugs: Do Personality Traits Matter -- A Rapid Review on Software Vulnerabilities and Embedded, Cyber-Physical, and IoT Systems -- Social Sustainability Approaches for Software Development: A Systematic Literature Review -- The Testing Hopscotch Model – Six Complementary Profiles Replacing the Perfect All-Round Tester -- Continuous Experimentation and Human Factors An Exploratory Study. edited by Regine Kadgien, Andreas Jedlitschka, Andrea Janes, Valentina Lenarduzzi, Xiaozhou Li. Software engineering Information technology Management Computer networks  Artificial intelligence Education Data processing Software Engineering Computer Application in Administrative Data Processing Computer Communication Networks Artificial Intelligence Computers and Education QA76.758 9783031492662 https://doi.org/10.1007/978-3-031-49266-2 https://doi.org/10.1007/978-3-031-49266-2 231201 20251030110846.0 978-3-031-49266-2