Accurate Fork-Join Profiling on the Java Virtual Machine | 0 | 0.34 | 2022 |
Automated Large-scale Multi-language Dynamic Program Analysis in the Wild. | 0 | 0.34 | 2021 |
Language-Agnostic Integrated Queries in a Managed Polyglot Runtime. | 0 | 0.34 | 2021 |
FJProf: Profiling Fork/Join Applications on the Java Virtual Machine | 0 | 0.34 | 2020 |
Analysis and Optimization of Task Granularity on the Java Virtual Machine. | 0 | 0.34 | 2020 |
Dynamic speculative optimizations for SQL compilation in Apache Spark | 0 | 0.34 | 2020 |
Dynamic Speculative Optimizations for SQL Compilation in Apache Spark. | 0 | 0.34 | 2020 |
JUniVerse - large-scale JUnit-test analysis in the wild. | 0 | 0.34 | 2019 |
Reasoning about the Node.js event loop using async graphs | 1 | 0.36 | 2019 |
Automated Large-Scale Multi-Language Dynamic Program Analysis in the Wild (Tool Insights Paper). | 0 | 0.34 | 2019 |
Renaissance: benchmarking suite for parallel applications on the JVM | 4 | 0.44 | 2019 |
Efficient Dynamic Analysis For Node.Js | 0 | 0.34 | 2018 |
Large-Scale Evaluation of the Efficiency of Runtime-Verification Tools in the Wild | 0 | 0.34 | 2018 |
Optimizing for Tail Sojourn Times of Cloud Clusters. | 0 | 0.34 | 2018 |
lpt: A Tool for Tuning the Level of Parallelism of Spark Applications | 0 | 0.34 | 2018 |
Understanding task granularity on the JVM: profiling, analysis, and optimization. | 0 | 0.34 | 2018 |
Multi-Process Runtime Verification for Android | 1 | 0.36 | 2017 |
Comprehensive Multiplatform Dynamic Program Analysis for Java and Android. | 3 | 0.39 | 2016 |
AutoBench: Finding Workloads That You Need Using Pluggable Hybrid Analyses. | 0 | 0.34 | 2016 |
Analyzing Distributed Multi-Platform Java And Android Applications With Shadowvm | 0 | 0.34 | 2015 |
Comprehensive Multi-Platform Dynamic Program Analysis for the Java and Dalvik Virtual Machines. | 0 | 0.34 | 2015 |
Custom full-coverage dynamic program analysis for Android | 0 | 0.34 | 2015 |
Accurate profiling in the presence of dynamic compilation | 3 | 0.47 | 2015 |
Catching the response time tail in the cloud | 0 | 0.34 | 2015 |
Improving execution unit occupancy on SMT-based processors through hardware-aware thread scheduling. | 0 | 0.34 | 2014 |
What to expect when you are consolidating: effective prediction models of application performance on multicores | 2 | 0.36 | 2014 |
Dynamic program analysis - Reconciling developer productivity and tool performance. | 1 | 0.40 | 2014 |
Multi-Objective Quality-Driven Service Selection—A Fully Polynomial Time Approximation Scheme | 19 | 0.69 | 2014 |
Achieving runtime adaptability through automated model evolution and variant selection | 3 | 0.40 | 2014 |
Join the Best Queue: Reducing Performance Variability in Heterogeneous Systems | 6 | 0.44 | 2013 |
Introduction to dynamic program analysis with DiSL | 3 | 0.41 | 2013 |
Enabling modularity and re-use in dynamic program analysis tools for the java virtual machine | 5 | 0.50 | 2013 |
ShadowData: shadowing heap objects in Java | 2 | 0.39 | 2013 |
ShadowVM: robust and comprehensive dynamic program analysis for the java platform | 10 | 0.61 | 2013 |
QoS-Aware Service VM Provisioning in Clouds: Experiences, Models, and Cost Analysis. | 5 | 0.43 | 2013 |
A comprehensive toolchain for workload characterization across JVM languages | 4 | 0.44 | 2013 |
TigerQuoll: parallel event-based JavaScript | 2 | 0.43 | 2013 |
Deferred methods: accelerating dynamic program analysis on multicores | 2 | 0.38 | 2012 |
Turbo DiSL: partial evaluation for high-level bytecode instrumentation | 6 | 0.50 | 2012 |
Dynamic Replication in Service-Oriented Systems | 11 | 0.57 | 2012 |
Find your best match: predicting performance of consolidated workloads | 3 | 0.41 | 2012 |
Java Bytecode Instrumentation Made Easy: The DiSL Framework for Dynamic Program Analysis. | 3 | 0.40 | 2012 |
DiSL: an extensible language for efficient and comprehensive dynamic program analysis | 1 | 0.38 | 2012 |
Exploiting Dynamic Information in IDEs Improves Speed and Correctness of Software Maintenance Tasks | 22 | 0.86 | 2012 |
Two Studies of Framework-Usage Templates Extracted from Dynamic Traces | 9 | 0.52 | 2012 |
Cost-driven service provisioning in hybrid clouds | 13 | 0.61 | 2012 |
The JVM is not observable enough (and what to do about it) | 13 | 0.75 | 2012 |
Model-driven consolidation of Java workloads on multicores | 13 | 0.64 | 2012 |
Hardware-aware Thread Scheduling: The Case of Asymmetric Multicore Processors | 1 | 0.35 | 2012 |
Node.Scala: implicit parallel programming for high-performance web services | 1 | 0.36 | 2012 |