55 lines
2.7 KiB
Markdown
55 lines
2.7 KiB
Markdown
type:: [[meeting]]
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external-links::
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tags:: [[PROJECTS/PRIN-EMELIOT]]
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people::
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date:: [[26-01-2023]] - 09:15
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isconsortium:: true
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- # Agenda
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- **09:00-10:30 S3: ML-based development**
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- - Studies on ML-based development (Unisannio)
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- - Federated Learning (Polimi)
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- Approaches for code completion - LUPE (Univaq, collaboraiton with Unisannio)
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- Open discussion: studies on ML-based development, call for joint initiatives
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- 10:30-11:00 Coffee break
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- **11:00-12:30 - S4: Analysis and testing**
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- - chatbot testing (Unimib)
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- - intrusion detection (Unisannio)
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- Open discussion - Security analysis and testing of ML-intensive IoT
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- **12:30-13:00 - Organizzazione iniziative future, wrap up**
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- 13:00-14:00 Pranzo
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-
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- ## Studies on ML-based development (Unisannio)
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- [Open Challenges in Federated Machine Learning | IEEE Journals & Magazine | IEEE Xplore (cineca.it)](https://ieeexplore-ieee-org.univaq.clas.cineca.it/document/9829276)
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- ## Claudio
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- [LUPE.pptx](../assets/LUPE_1674725870195_0.pptx)
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- ## Mastropaolo [[people/Mastropaolo]]
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- [[people/Mastropaolo]]
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- RSSEs
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- Rule-based (prima generazione)
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- Soffrono di problemi di generalizability
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- Es. JSummarizer usa template predefiniti progettati per Java
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- Data-driven techniques
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- Performance non eccezionali. Sono 3% di metodi viene summarized correttamente oppure solo il 9% di codice buggy viene fixato in modo corretto.
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- Prossimo step: Investigare pre-trained models
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- BERT (Google)
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- T5 (Google) - text-to-text transfer tranformer
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- Text as Input and Text as Output
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- DONE Vedere [Studying the Usage of Text-To-Text Transfer Transformer to Support Code-Related Tasks | IEEE Conference Publication | IEEE Xplore (cineca.it)](https://ieeexplore-ieee-org.univaq.clas.cineca.it/document/9401982)
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id:: 648b0617-8e0d-49a4-81dd-7bf3576cbd5b
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- DONE [Using deep learning to generate complete log statements | Proceedings of the 44th International Conference on Software Engineering (cineca.it)](https://dl-acm-org.univaq.clas.cineca.it/doi/10.1145/3510003.3511561)
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id:: 648b0617-6649-412a-a148-68f04c0be187
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- [An Empirical Study on the Usage of Transformer Models for Code Completion | IEEE Journals & Magazine | IEEE Xplore (cineca.it)](https://ieeexplore-ieee-org.univaq.clas.cineca.it/document/9616462)
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id:: 648b0617-cf41-4390-b192-d90855c19e31
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- RoBERTA (Facebook)
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- *Pretraining then fine-tuning*
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- ## Chatbot testing
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- [chatbot2.pptx](../assets/chatbot2_1674729106591_0.pptx)
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-
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-
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- ## Intrusion detection
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-
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- 15-16 Giugno - Prossimo meeting EMELIOT a Salerno (pomeriggio del 15 e mattina del 16)
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- Lun-Mar --> Sattose
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- Martedi, ??? --> Scuola estiva
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