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Software Model Refactoring Driven by Performance Antipattern Detection.

, , , and . SIGMETRICS Perform. Evaluation Rev., 49 (4): 53-58 (2022)

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An early-stage statement-level metric for energy characterization of embedded processors., , , and . Microprocess. Microsystems, (2020)Software Model Refactoring Driven by Performance Antipattern Detection., , , and . SIGMETRICS Perform. Evaluation Rev., 49 (4): 53-58 (2022)An Approach Using Performance Models for Supporting Energy Analysis of Software Systems., , , , , and . EPEW, volume 14231 of Lecture Notes in Computer Science, page 249-263. Springer, (2023)Statement-Level Timing Estimation for Embedded System Design Using Machine Learning Techniques., , and . ICPE, page 257-264. ACM, (2021)HEPSYCODE-RT: a Real-Time Extension for an ESL HW/SW Co-Design Methodology., , , , and . RAPIDO, page 6:1-6:6. ACM, (2018)Many-objective optimization of non-functional attributes based on refactoring of software models., , , and . Inf. Softw. Technol., (May 2023)On the impact of Performance Antipatterns in multi-objective software model refactoring optimization., , , and . SEAA, page 224-233. IEEE, (2021)A Model-Driven Approach for Early Verification and Validation of Embedded Systems.. MoDELS (Companion), page 684-688. IEEE, (2021)From UML/MARTE Specifications to ESL HW/SW Co-Design: Early Functional Verification and Timing Validation., , and . ICPE (Companion), page 373-380. ACM, (2023)CC4CS: an Off-the-Shelf Unifying Statement-Level Performance Metric for HW/SW Technologies., , , , , and . ICPE Companion, page 119-122. ACM, (2018)