Software Engineering @ Salerno

University of Salerno, Italy
Joined November 2021
🚨 Deadline Extended! There’s still time to contribute to the EMSE Special Issue on “Emerging Concerns in Technical Debt Management”. 📅 New Deadline: August 3, 2025 Call for Papers:emsejournal.github.io/specia… #TechDebt #CFP #EMSE
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📢 Our article “When Code Smells Meet ML: On the Lifecycle of ML-specific Code Smells in ML-enabled Systems” has been accepted in the EMSE Journal! 🔍 #SE4AI #CodeSmell #TechnicalDebt #EmpiricalSE 📄 Paper: gilbertrec.github.io/persona… 💻 Tool: github.com/giammariagiordano…
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Our paper “Into the ML-Universe: An Improved Classification and Characterization of Machine-Learning Projects" has been accepted at the Journal of Systems and Software! 🎉 📄 Pre-print here: kenz097.github.io/assets/doc…
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🥳Our paper "Examining the Impact of Bias Mitigation Algorithms on the Sustainability of ML-enabled Systems" has been accepted at @JSSoftware 📄Pre-print: kenz097.github.io/assets/doc…
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🚨 Great news! Our special issue “Emerging Concerns in Technical Debt Management” has been accepted at EMSE! 🎉 📅 Submission deadline: June 9 📝 Guest Editors: Giammaria Giordano, @zadiacodabux, Marcus Ciolkowski, Florian Deissenboeck, and @mtbaldassarre
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💬Are ML-enabled open-source projects affected by community smells?🤔We investigated the #prevalence, #correlation, and #variation over time!🔍 Find out at @ConfEASE🤩 Thanks @SeSa_Lab @StefanoLambiase @g_catolino @fabiopalomba3 @filomenaferrucc Pre-print:fpalomba.github.io/pdf/Confe…
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#SQA4AI25 just started! Our @GiammariaGiord1 is now introducing the workshop and the wonderful organizing committee! #SQA4AI #SANER25 #AI #SQ
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🎉 I’m happy to announce that our paper "Classification and Challenges of Non-Functional Requirements in ML-Enabled Systems: A Systematic Literature Review" has been accepted at @ISTJrnal ! 🚀 📢 Big Thanks to @fabiopalomba3 ! 📄 Pre-print: kenz097.github.io/assets/doc…
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🚀 New year, strong start! Our paper "Do Developers Adopt Green Architectural Tactics for ML-Enabled Systems? A Mining Software Repository Study" has been accepted at #ICSE-SEIS2025! Huge thanks to co-authors @SilverioMF & @fabiopalomba3 ! 📄 Pre-Print: arxiv.org/abs/2410.06708
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🎊Excited to announce that our paper, "Reformulating Regression Test Suite Optimization using Quantum Annealing — an Empirical Study," has been accepted for the Springer "International Journal on Software Tools for Technology Transfer." 𝍌: arxiv.org/abs/2411.15963
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Exciting news! 🤩our paper on uncovering #CommunitySmells in #MLenabledSystems is officially accepted at @acm_tosem ! 🎉✨ A huge milestone for my Ph.D. @SeSa_Lab @StefanoLambiase @g_catolino @fabiopalomba3 Pre-print:giusyann.github.io/tosem.htm…
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🚀 Thrilled to announce our paper "A Framework for Using LLMs for Repository Mining Studies in Empirical Software Engineering" has been accepted at #WSESE2025! 🎉 Big thanks to @joelcf001, @fabiopalomba3, @FranchXavier & @SilverioMF. 📄 Pre-print link: arxiv.org/abs/2411.09974
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🎉 I am very happy to see our latest publication at @JSSoftware! Our article explores #TechnicalDebt in #AI and uncovers #developer insights on its risks and impacts. #SE4AI #SoftwareEngineering Discover more here: doi.org/10.1016/j.jss.2024.1…
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🤔Can the programming languages adopted indicate the presence of community smells? 🧐 We investigated it in our work. 🎤Find out at @EuromicroOrg. Thanks to @StefanoLambiase @fabiopalomba3 @g_catolino @AndreaDeLucia12 @filomenaferrucc @SeSa_Lab preprint: fpalomba.github.io/pdf/Confe…
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At the end of this amazing week, I want to thank again @SeSa_Lab for inviting me as lecturer and @EmanueleIannon3 for sharing this first experience as workshop organizers (@SECUTEWorkshop).
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🤩 See how much I shine every time I talk about Risks ✨ I presented my work on Security Risk Assessment for Cloud at @SECUTEWorkshop @ConfEASE
Replying to @Giusy_A_
@Giusy_A_ just presented her work about #Security Risk Assessment on #Cloud! Check the abstract of the paper 👉🏻 secute-ws.github.io/accepted…
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Absolutely thrilled to have had my first experience as a lecturer in a summer school! 🥳 Thanks to @SeSa_Lab for this amazing opportunity!
Replying to @vpontillo92
@vpontillo92's tutorial is about designing machine learning techniques for test code quality prediction 🚀🚀 #ISSSE2024
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#ISSSE24 is started and we are working for you! 💪🏻✨@SeSa_Lab
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It has been a pleasure to present our work on #DataSmells at #CAIN2024. The whole session has been fantastic for future steps of defining continuous #dataquality assurance. Thanks to @muccinihenry , @GraceALewis and Marc Zeller. Happy to be here as a @SeSa_Lab member💪
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Trivia: this is the last work I made 100% at the @SeSa_Lab during my PhD. Time flies 🥹 Thanks to @GiuliaSellitto7 @meelunae @fabiopalomba3 @AndreaDeLucia12 @filomenaferrucc
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