TY  - BOOK
AU  - Kadgien,Regine
AU  - Jedlitschka,Andreas
AU  - Janes,Andrea
AU  - Lenarduzzi,Valentina
AU  - Li,Xiaozhou
ED  - SpringerLink (Online service)
TI  - Product-Focused Software Process Improvement: 24th International Conference, PROFES 2023, Dornbirn, Austria, December 10-13, 2023, Proceedings, Part I 
T2  - Lecture Notes in Computer Science,
SN  - 9783031492662
AV  - QA76.758 
U1  - 005.1 23
PY  - 2024///
CY  - Cham
PB  - Springer Nature Switzerland, Imprint: Springer
KW  - Software engineering
KW  - Information technology
KW  - Management
KW  - Computer networks 
KW  - Artificial intelligence
KW  - Education
KW  - Data processing
KW  - Software Engineering
KW  - Computer Application in Administrative Data Processing
KW  - Computer Communication Networks
KW  - Artificial Intelligence
KW  - Computers and Education
N1  -  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
N2  - 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.
UR  - http://libcon.rec.uabc.mx:2048/login?url=https://doi.org/10.1007/978-3-031-49266-2
ER  -