A proactive approach for runtime self-adaptation based on queueing network fluid analysis. - Emilio Incerto; Mirco Tribastone; Catia Trubiani (QUDOS@SIGSOFT FSE, 2015)

Symbolic performance adaptation. - Emilio Incerto; Mirco Tribastone; Catia Trubiani (SEAMS@ICSE, 2016)

Software performance self-adaptation through efficient model predictive control. - Emilio Incerto; Mirco Tribastone; Catia Trubiani (ASE, 2017)

An Efficient Performance-Driven Approach for HW/SW Co-Design. - Daniele Di Pompeo; Emilio Incerto; Vittoriano Muttillo; Luigi Pomante; Giacomo Valente (ICPE, 2017)

Combined Vertical and Horizontal Autoscaling Through Model Predictive Control. - Emilio Incerto; Mirco Tribastone; Catia Trubiani (Euro-Par, 2018)

Moving Horizon Estimation of Service Demands in Queuing Networks. - Emilio Incerto; Annalisa Napolitano; Mirco Tribastone (MASCOTS, 2018)

Model-based Performance Self-adaptation: A Tutorial. - Emilio Incerto; Mirco Tribastone (ICPE Companion, 2019)

Inferring Performance from Code: A Review. - Emilio Incerto; Annalisa Napolitano; Mirco Tribastone (ISoLA (1), 2020)

Statistical Learning of Markov Chains of Programs. - Emilio Incerto; Annalisa Napolitano; Mirco Tribastone (MASCOTS, 2020)

Learning Queuing Networks by Recurrent Neural Networks. - Giulio Garbi; Emilio Incerto; Mirco Tribastone (ICPE, 2020)

Reproducibility Report for the Paper: "Differentiable Agent-Based Simulation for Gradient-Guided Simulation-Based Optimization". - Emilio Incerto; Matteo Principe (SIGSIM-PADS, 2021)

Learning Queuing Networks via Linear Optimization. - Emilio Incerto; Annalisa Napolitano; Mirco Tribastone (ICPE, 2021)

μP: A Development Framework for Predicting Performance of Microservices by Design. - Giulio Garbi; Emilio Incerto; Mirco Tribastone (CLOUD, 2023)

μOpt: An Efficient Optimal Autoscaler for Microservice Applications. - Emilio Incerto; Roberto Pizziol; Mirco Tribastone (ACSOS, 2023)

ICPE'23 AIPerf Workshop Chairs' Welcome. - Emilio Incerto; Marin Litoiu; Riccardo Pinciroli (ICPE (Companion), 2023)

Flocks of Birds: A Quantitative Evaluation. - Emilio Incerto; Catia Trubiani (ISoLA (1), 2024)

AIPerf'24: 2nd International Workshop on Artificial Intelligence for Performance Modeling, Prediction, and Control. - Emilio Incerto; Marin Litoiu; Daniele Masti (ICPE (Companion), 2024)

Autoscaling Solutions for Cloud Applications Under Dynamic Workloads. - Giovanni Quattrocchi; Emilio Incerto; Riccardo Pinciroli; Catia Trubiani; Luciano Baresi (IEEE Trans. Serv. Comput., 2024)

Inference of Probabilistic Programs with Moment-Matching Gaussian Mixtures. - Francesca Randone; Luca Bortolussi; Emilio Incerto; Mirco Tribastone (Proc. ACM Program. Lang., 2024)

Certified Inductive Synthesis for Online Mixed-Integer Optimization. - Marco Zamponi; Emilio Incerto; Daniele Masti; Mirco Tribastone (ICCPS, 2025)

Wasteless: An Optimal Provisioner for Self-Adaptive Second-Generation Serverless Applications. - Emilio Incerto; Roberto Pizziol; Gabriele Russo Russo; Mirco Tribastone (SEAMS@ICSE, 2025)

AIPerfLLM: 3rd International Workshop on Performance Optimization in the LLM world. - Kingsum Chow; Emilio Incerto; Marin Litoiu; Zhihao Chang; Anil Rajput; Khun Ban; Daniele Masti; Zhiheng Lyu (ICPE (Companion), 2025)

Stochastic conformance checking based on variable-length Markov chains. - Emilio Incerto; Andrea Vandin; Sima Sarv Ahrabi (Inf. Syst., 2025)

Reproducibility Report for the Paper: "A Toolset for Predicting Performance of Legacy Real-Time Software Based on the RAST Approach". - Emilio Incerto; Romolo Marotta (ACM Trans. Model. Comput. Simul., 2025)