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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.
Series
Edition
Language
Place of publication
Publishing group
Springer International Publishing
Product notice
Illustrations
XVI, 529 p. 121 illus., 103 illus. in color.
File size
ISBN-13
978-3-031-49266-2 (9783031492662)
DOI
10.1007/978-3-031-49266-2
Schweitzer Classification
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.- A
utomatic 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.- S
ecurity, 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.