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_aProduct-Focused Software Process Improvement _h[electronic resource] : _b24th International Conference, PROFES 2023, Dornbirn, Austria, December 10-13, 2023, Proceedings, Part I / _cedited by Regine Kadgien, Andreas Jedlitschka, Andrea Janes, Valentina Lenarduzzi, Xiaozhou Li. |
250 | _a1st ed. 2024. | ||
264 | 1 |
_aCham : _bSpringer Nature Switzerland : _bImprint: Springer, _c2024. |
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_aXVI, 529 p. 121 illus., 103 illus. in color. _bonline resource. |
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_aLecture Notes in Computer Science, _x1611-3349 ; _v14483 |
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505 | 0 | _a 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. | |
520 | _aThis 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. . | ||
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_aComputer Application in Administrative Data Processing. _931588 |
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_aComputer Communication Networks. _994543 |
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_aJedlitschka, Andreas. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _994545 |
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_aJanes, Andrea. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _994546 |
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_aLi, Xiaozhou. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _994550 |
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