Andrea Rosà

Orcid: 0000-0002-6467-0113

According to our database1, Andrea Rosà authored at least 48 papers between 2014 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Large-scale characterization of Java streams.
Softw. Pract. Exp., September, 2023

Optimization-Aware Compiler-Level Event Profiling.
ACM Trans. Program. Lang. Syst., June, 2023

Profiling and Optimizing Java Streams.
Art Sci. Eng. Program., February, 2023

Java Vector API: Benchmarking and Performance Analysis.
Proceedings of the 32nd ACM SIGPLAN International Conference on Compiler Construction, 2023

Adaptive Thread Type Selection on the Java Virtual Machine.
Proceedings of the Eleventh International Symposium on Computing and Networking, CANDAR 2023, 2023

Automated Runtime Transition between Virtual and Platform Threads in the Java Virtual Machine.
Proceedings of the 30th Asia-Pacific Software Engineering Conference, 2023

2022
Characterizing Java Streams in the Wild.
Proceedings of the 26th International Conference on Engineering of Complex Computer Systems, 2022

Optimizing Parallel Java Streams.
Proceedings of the 26th International Conference on Engineering of Complex Computer Systems, 2022

SQL to Stream with S2S: An Automatic Benchmark Generator for the Java Stream API.
Proceedings of the 21st ACM SIGPLAN International Conference on Generative Programming: Concepts and Experiences, 2022

Accurate Fork-Join Profiling on the Java Virtual Machine.
Proceedings of the Euro-Par 2022: Parallel Processing, 2022

2021
Automated Large-scale Multi-language Dynamic Program Analysis in the Wild.
Proceedings of the Software Engineering 2021, 2021

Automatically Assessing and Extending Code Coverage for NPM Packages.
Proceedings of the 2nd IEEE/ACM International Conference on Automation of Software Test, 2021

2020
FJProf: Profiling Fork/Join Applications on the Java Virtual Machine.
Proceedings of the VALUETOOLS 2020: 13th EAI International Conference on Performance Evaluation Methodologies and Tools, 2020

Renaissance: Benchmarking Suite for Parallel Applications on the JVM.
Proceedings of the Software Engineering 2020, 2020

Profiling streams on the Java virtual machine.
Proceedings of the Programming'20: 4th International Conference on the Art, 2020

P<sup>3</sup>: A Profiler Suite for Parallel Applications on the Java Virtual Machine.
Proceedings of the Programming Languages and Systems - 18th Asian Symposium, 2020

2019
Analysis and Optimization of Task Granularity on the Java Virtual Machine.
ACM Trans. Program. Lang. Syst., 2019

Automated Large-Scale Multi-Language Dynamic Program Analysis in the Wild (Artifact).
Dagstuhl Artifacts Ser., 2019

On Evaluating the Renaissance Benchmarking Suite: Variety, Performance, and Complexity.
CoRR, 2019

NodeMOP: runtime verification for Node.js applications.
Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, 2019

Optimization coaching for fork/join applications on the Java virtual machine.
Proceedings of the Conference Companion of the 3rd International Conference on Art, 2019

NAB: automated large-scale multi-language dynamic program analysis in public code repositories.
Proceedings of the Proceedings Companion of the 2019 ACM SIGPLAN International Conference on Systems, 2019

Renaissance: a modern benchmark suite for parallel applications on the JVM.
Proceedings of the Proceedings Companion of the 2019 ACM SIGPLAN International Conference on Systems, 2019

Automated Large-Scale Multi-Language Dynamic Program Analysis in the Wild (Tool Insights Paper).
Proceedings of the 33rd European Conference on Object-Oriented Programming, 2019

2018
Optimizing type-specific instrumentation on the JVM with reflective supertype information.
J. Vis. Lang. Comput., 2018

Understanding task granularity on the JVM: profiling, analysis, and optimization.
Proceedings of the Conference Companion of the 2nd International Conference on Art, 2018

Analyzing and optimizing task granularity on the JVM.
Proceedings of the 2018 International Symposium on Code Generation and Optimization, 2018

lpt: A Tool for Tuning the Level of Parallelism of Spark Applications.
Proceedings of the 25th Asia-Pacific Software Engineering Conference, 2018

2017
Failure Analysis and Prediction for Big-Data Systems.
IEEE Trans. Serv. Comput., 2017

ADRENALIN-RV: Android Runtime Verification Using Load-Time Weaving.
Proceedings of the 2017 IEEE International Conference on Software Testing, 2017

Speeding Up Type-Specific Instrumentation for the Analysis of Complex Systems.
Proceedings of the 22nd International Conference on Engineering of Complex Computer Systems, 2017

Accurate reification of complete supertype information for dynamic analysis on the JVM.
Proceedings of the 16th ACM SIGPLAN International Conference on Generative Programming: Concepts and Experiences, 2017

tgp: A Task-Granularity Profiler for the Java Virtual Machine.
Proceedings of the 24th Asia-Pacific Software Engineering Conference, 2017

2016
AutoBench: Finding Workloads That You Need Using Pluggable Hybrid Analyses.
Proceedings of the IEEE 23rd International Conference on Software Analysis, 2016

Extended Code Coverage for AspectJ-Based Runtime Verification Tools.
Proceedings of the Runtime Verification - 16th International Conference, 2016

Adaptable Runtime Monitoring for the Java Virtual Machine.
Proceedings of the Leveraging Applications of Formal Methods, Verification and Validation: Discussion, Dissemination, Applications, 2016

An Endpoint Communication Profiling Tool for Distributed Computing Frameworks.
Proceedings of the 36th IEEE International Conference on Distributed Computing Systems, 2016

Actor profiling in virtual execution environments.
Proceedings of the 2016 ACM SIGPLAN International Conference on Generative Programming: Concepts and Experiences, 2016

Profiling actor utilization and communication in Akka.
Proceedings of the 15th International Workshop on Erlang, 2016

Efficient profiling of actor-based applications in parallel and distributed systems.
Proceedings of the 11th Workshop on Implementation, 2016

AkkaProf: A Profiler for Akka Actors in Parallel and Distributed Applications.
Proceedings of the Programming Languages and Systems - 14th Asian Symposium, 2016

2015
Demystifying Casualties of Evictions in Big Data Priority Scheduling.
SIGMETRICS Perform. Evaluation Rev., 2015

Catching failures of failures at big-data clusters: A two-level neural network approach.
Proceedings of the 23rd IEEE International Symposium on Quality of Service, 2015

Understanding the Dark Side of Big Data Clusters: An Analysis beyond Failures.
Proceedings of the 45th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2015

Understanding Unsuccessful Executions in Big-Data Systems.
Proceedings of the 15th IEEE/ACM International Symposium on Cluster, 2015

Predicting and Mitigating Jobs Failures in Big Data Clusters.
Proceedings of the 15th IEEE/ACM International Symposium on Cluster, 2015

2014
Quantifying the Brown Side of Priority Schedulers: Lessons from Big Clusters.
SIGMETRICS Perform. Evaluation Rev., 2014

ParSim: A Tool for Workload Modeling and Reproduction of Parallel Applications.
Proceedings of the IEEE 22nd International Symposium on Modelling, 2014


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