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ORCID10th SQAMIA 2023: Bratislava, Slovakia
- Zoran Budimac, Valentino Vranic, Ján Lang:
Proceedings of the Tenth Workshop on Software Quality Analysis, Monitoring, Improvement, and Applications, Bratislava, Slovakia, September 10-13, 2023. CEUR Workshop Proceedings 3588, CEUR-WS.org 2023
Keynotes
- Uwe Zdun:
Conformance Assessment and Detection Strategies in Continuously Delivered Microservice Architectures. - Jaroslav Porubän:
One Letter Matters - Methods and Tools for Improving Software Understanding.
People and Code
- Attila Gyén, Dániel Kolozsvári, Norbert Pataki:
Code Comprehension for the Move Semantics in C++. - Emili Puh, Tihana Galinac Grbac, Neven Grbac:
Preliminary Study of Higher Dimensional Software Structures. - Jakub Perdek, Valentino Vranic:
Matrix Based Approach to Structural and Semantic Analysis Supporting Software Product Line Evolution. - Marko Gluhak, Marjan Hericko:
Comparison of Graph and REST APIs.
Software Modularization
- Kristián Jablonický, Ján Lang:
Code Based Selected Object-Oriented Mechanisms. - Viktor Matovic, Valentino Vranic:
Establishing Pattern Sequences Using Artificial Neural Networks with an Application to Organizational Patterns. - Kristóf Umann, Zoltán Porkoláb:
A Case Study on the Quality of Static Analysis Bug Reports. - Despina Misheva, Marija Stojcheva, Mia Bosheva, Bojana Koteska, Ljupco Pejov, Anastas Mishev:
Assessing Quality Requirements for Onboarding Web Services to the European Open Science Cloud (EOSC): A Case Study of the Gaussian API.
IoT and Real Time Systems
- Ján Mach, Valeria Tasková, Lukás Kohútka:
Scheduling Tool for Deterministic Communication in Distributed Real-Time Systems. - Alwahab Dhulfiqar Zoltán, Norbert Pataki, Máté Tejfel:
Chatbot-Based Querying of IoT Devices in EdgeX. - Petar Rajkovic
, Andelija Dordevic, Dejan Aleksic, Dragan Jankovic:
Usage of Modular Software Development for IoT Nodes - The Case Study. - Robin Carlsson, Panu Puhtila, Sampsa Rauti:
Towards an Automatic Tool for Detecting Third-Party Data Leaks on Websites.
Data and Learning Systems
- Mirwais Ahmadzai, Giang T. Nguyen:
Data Partitioning Effects in Federated Learning. - Mladen Sverko, Tihana Galinac Grbac:
On Data Preprocessing in Data Mining to Improve Human-Machine Interface Data Visualization. - Martina Sestak, Timi Vovk:
Using Apache Spark for Ensuring Data Quality in Modern Data Lake Pipeline Architectures. - Tomás Golis, Pavle Dakic, Valentino Vranic:
Automatic Deployment to Kubernetes Cluster by Applying a New Learning Tool and Learning Processes.
Automated Approaches and Applications
- Nevena Rankovic, Dragica Rankovic, Mirjana Ivanovic:
Power of Artificial Neural Networks and Taguchi's Orthogonal Arrays in Software Effort and Cost Estimation. - Doni Pracner, Natasa Sukur, Zoran Budimac:
Automated Transformations and Alternate Translations: A Case Study. - Yevheniia Kataieva, Oliver Leontiev:
Approach to Construction of Optimal Tourist Routes Based on the Analysis of Existing Solutions.
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