Matteo Esposito
@_Matt_Esposito_
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Researcher @ University of Oulu
Oulu, Finland
Joined June 2023
RT @vale_lenarduzzi: Pearls, challenges, and pitfalls of analyzing data in software engineering empirical studies.@HortaTravassos @_Matt_Es….
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RT @vale_lenarduzzi: Are #LLMs applicable in mission-critical systems? Are they accurate, actionable and do they outperform humans? Check o….
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🚀 Exciting News! 🚀 Our latest full paper on using LLMs for risk analysis in mission-critical environments is accepted at #ESEM2024! 🎉 We show that LLMs boost speed, actionability & hidden risk discovery. #AI #RiskAnalysis #LLM #Research.
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RT @vale_lenarduzzi: How developer-centric recommendations can enhance #refactoring practices by aligning with what developers find most re….
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🚀 Exciting News ! 🚀 Our latest paper has been accepted at the EASE conference! 🎉. 🔍 Title: "An Extensive Comparison of Static Application Security Testing Tools". 🔍 Read our preprint here:
lnkd.in
This link will take you to a page that’s not on LinkedIn
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Uncover lurking dormant bugs in untouched code! Our latest research reveals the game-changing role of predicting bugginess in untouched methods across six open-source projects. Stay ahead in bug detection - Read more: 🔍 #UntouchedMethod #SCAM23.
researchgate.net
PDF | Bugs in untouched code can be a ticking time bomb, but are they worth predicting? Our study dives deep into the importance of predicting bugginess... | Find, read and cite all the research you...
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My co-authored paper on enhancing defectiveness prediction of methods and classes via JIT has been accepted for J1-Track @ASE_conf :). Previously published in Empirical Software Engineering at ↗ .Join us in September! #ASE2023 #defectprediction #JIT.
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