Product-Focused Software Process Improvement

24th International Conference, PROFES 2023, Dornbirn, Austria, December 10–13, 2023, Proceedings, Part II

Häftad, Engelska, 2023

Av Regine Kadgien, Andreas Jedlitschka, Andrea Janes, Valentina Lenarduzzi, Xiaozhou Li

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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.

Produktinformation

Utgivningsdatum2023-12-02
Mått155 x 235 x 10 mm
Vikt277 g
FormatHäftad
SpråkEngelska
SerieLecture Notes in Computer Science
Antal sidor155
FörlagSpringer International Publishing AG
ISBN9783031492686

Tillhör följande kategorier

Tillämpad datateknik inom Data och it
Operativsystem inom Data och it
Programvaruutveckling inom Data och it
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Material och digital teknik i undervisningen inom Psykologi och pedagogik
Artificiell intelligens inom Data och it

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.