Free ticket to Australia? Submit your latest and most awesome work to SEAMS'23. Round 2 track is open for submissions! All topics related to the engineering of autonomous, self-adaptive, and self-managing systems in the context of all computer systems are topics of interest.

Wondered whether performance requirements can influence configuration turning? Our TOSEM paper --- which is a two years effort --- might be useful for you tosem. Thanks again for the highly constructive feedback from the TOSEM reviewers! Preprint: arxiv.org/abs/2301.03290.

Glad to share that our paper “Predicting Software Performance with Divide-and-Learn” was accepted with no further revision at #FSE2023 FSE 2025, where we propose a simple but new “division learning” for configuration performance. Well done Jingzhi Gong! Details will follow soon.

Really happy to attend the Schloss Dagstuhl seminar a few weeks back; it was wonderful to meet old and new friends and had a lot of insightful discussions with an amazing group of people!

The countdown is on! 🗓️ The first round of paper submissions for #SEAMS2024 ends on October 6. Don't miss this opportunity to showcase your cutting-edge research!💡👩‍💻👨‍💻 Submit now 📝👉 seams24.hotcrp.com

Tomorrow, Wed 6th, 15:00, Jingzhi Jingzhi Gong will present our work on a new paradigm of advancing configuration performance learning, which can be paired with and potentially improve any existing model FSE 2025 . Plz join if you are interested! Paper: arxiv.org/pdf/2306.06651…

Glad to share that my group has two papers accepted at FSE FSE 2025 on adapting multi-objectivization for configuration tuning and on sequential meta-learning for configuration performance. Thank reviewers for the highly constructive comments. Please stay tuned for the preprint!

Glad to share that one of our newest works appeared at TSE IEEE Transactions on Software Engineering. This work provides a theory on why and how multi-objectivization works for configuration tuning, along with an improved normalization that mitigates the large impact of weight. Preprint: ieeexplore.ieee.org/abstract/docum…

There will be three talks from our group FSE 2025 1. Tutorial on evaluating multi-objective SBSE at 15th Jul 9am, Cajá 2. Talk on configuration tuning 18th Jul, 11am, Pitanga 3. Talk on configuration learning 18th Jul, 12:12, Pitanga Please come/talk to me(us) if interested!

“A more accurate model is often more useful for tuning configuration”. Our recent TSE paper IEEE Transactions on Software Engineering challenges this general belief and show that it can be misleading: ieeexplore.ieee.org/abstract/docum…. We need better model evaluation that goes beyond accuracy!

Excited to recognize Jingzhi Gong of Loughborough University as the winner of the 2024 Kaivalya Dixit Distinguished Dissertation Award for his work, “Pushing the Boundary: Specialising Deep Configuration Performance Learning”. Congratulations Jingzhi Gong! ow.ly/cM3B50VxI9Q

I and my students will be presenting three full papers from our lab at ICSE ICSE main research track starting tomorrow, please come and chat with us if interested!

Wow! two full research papers from my group have been directly accepted at ICSE'26 ICSE from the first cycle; all on configuration performance research. Please stay tuned for the details!

In around 15 mins time, at Vega, Pengzhou (who attend conference for the first time) will present our journal first paper FSE 2025 , discussing about why and how "accuracy can lie". Please come and talk to him if interested!