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, 6 industrial papers, 8 short papers and 1 poster paper were carefully reviewed and selected from 82 submissions. The book also contains one tutorial paper, 11 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 Practicesfor Quantum Software (PPQS' 23); doctoral symposium.
Contents
Poster.- Metrics for Code Smells of ML Pipelines.- Tutorial.- Declarative Process Mining for Software Processes: the RuM toolkit and the Declare4Py Python library.- 2nd Workshop on Computational Intelligence and Software Engineering (CISE 2023).- MaREA: Multi-class Random Forest for Automotive Intrusion Detection.- Forecasting The Developer's Impact in Managing the Technical Debt.- Development of a Desktop Application to Enable Doctors to Remotely Monitor Patients' Hematological Parameters.- The significance of classical simulations in the adoption of quantum technologies for software development.- Enhancing Bug-Fixing Time Prediction with LSTM-Based Approach.- Enhancing Code Obfuscation Techniques: Exploring the Impact of Artificial Intelligence on Malware Detection.- A perspective on the interplay between 5G and quantum computing for secure algorithm.- Speech Therapy supported by AI and smart assistants.- 2nd Workshop on Engineering Processes and Practices for Quantum Software (PPQS' 23).- Integration of Classical and Quantum Services Using an Enterprise Service Bus.- Problem decomposition to leverage quantum computing for optimization problems.- Quantum Algorithm Cards: Streamlining the development of hybrid classical-quantum applications.- Doctoral Symposium.- Simulation-Based Safety Testing of Automated Driving Systems.- Utilization of Machine Learning for the detection of self-admitted vulnerabilities.- Closing the Loop: Towards a Complete Metamorphic Testing Pipeline.
