Microbenchmarking is a widely used form of performance testing in Java software. A
microbenchmark repeatedly executes a small chunk of code while collecting measurements …

Cloud-native applications constitute a recent trend for designing large-scale software
systems. However, even though several cloud-native tools and patterns have emerged to …

In recent years, there has been a shift in software development towards microservice-based
architectures, which consist of small services that focus on one particular functionality. Many …

Software benchmarks are only as good as the performance measurements they yield.
Unstable benchmarks show high variability among repeated measurements, which causes …

The increasing heterogeneity of the VM offerings on public IaaS clouds gives rise to a very
large number of deployment options for constructing distributed, multi-component cloud …

Executing software microbenchmarks, a form of small-scale performance tests
predominantly used for libraries and frameworks, is a costly endeavor. Full benchmark …

Regression testing comprises techniques which are applied during software evolution to
uncover faults effectively and efficiently. While regression testing is widely studied for …

Ensuring that software performance does not degrade after a code change is paramount. A
solution is to regularly execute software microbenchmarks, a performance testing technique …

Distributed dataflow systems like Apache Spark and Apache Hadoop enable data-parallel
processing of large datasets on clusters. Yet, selecting appropriate computational resources …

Software performance changes are costly and often hard to detect pre-release. Similar to
software testing frameworks, either application benchmarks or microbenchmarks can be …