Product-Focused Software Process Improvement 24th International Conference, PROFES 2023, Dornbirn, Austria, December 10–13, 2023, Proceedings, Part I /
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 ca...
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| Format: | Elektronski eKnjiga |
| Jezik: | angleščina |
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Springer Nature Switzerland : Imprint: Springer,
2024.
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| Izdaja: | 1st ed. 2024. |
| Serija: | Lecture Notes in Computer Science,
14483 |
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| Online dostop: | https://doi.org/10.1007/978-3-031-49266-2 |
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Kazalo:
- 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.