Ulrico Celentano

Degree Programme in Computer Science and Engineering

Ville Lahdenperä (2024) Improvement in radio logging system for performance testing.

• This thesis introduces an automated tool that gathers logs from radio unit of base station. The system consists of hardware and software parts that are used to create a connection to the radio unit and fetch logs from it. The tool can be configured by the user for various radio models and to collect logs from different test scenarios.
• Keywords: RAN, radio unit, log collection, system stability, test.
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Valtteri Impola (2024) Generative AI in refactoring of legacy code.

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Mariia Shushakova (2023) Improving software quality through non-functional testing.

• Co-supervised together with Prof. Burak Turhan.
• The purpose of research is to create a system that covers non-functional testing from the performance side. It is proposed that only a combination of functional and non-functional testing can provide high quality.
• Keywords: software testing, non-functional testing, performance testing, JMeter.
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Eero Paavola (2023) Model-driven approach to software requirements traceability.

• Co-supervised together with Prof. Jaakko Suutala.
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Markus Kyllönen (2022) Development of an automated debug log processing system for CSI mechanism.

• The purpose of this thesis is to present an example of automated CSI log processing system. The main focus is to verify that CSI reporting follows standards technical specifications.
• Keywords: 3GPP, 5G NR, 5G Physical Layer, L1.
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Antti Männikkö (2020) Agile development model in multi-project environment.

• This thesis observes current agile models in multi-project software development environment and tries to improve current model the evaluated team uses introducing four principles that might help the team to choose an agile method.
• Keywords: agile, Scrum, Kanban, continuous delivery, workflow.
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Miika Moilanen (2019) Topic Distiller: Distilling semantic topics from documents.

• This thesis details the design and implementation of a system that can find relevant and latent semantic topics from textual documents.
• Keywords: natural language processing, entity linking, automatic keyphrase extraction, automatic topic labeling, graph theory, ontology, knowledge base, information retrieval.
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