Full Description
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.
Contents
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.
