Virtual Machines (VMs) with Just-In-Time (JIT) compilers are traditionally thought to execute
programs in two phases: the initial warmup phase determines which parts of a program …

Predicting defective software modules before testing is a useful operation that ensures that
the time and cost of software testing can be reduced. In recent years, several models have …

Rigorous performance engineering traditionally assumes measuring on bare-metal
environments to control for as many confounding factors as possible. Unfortunately, some …

Refactoring aims at improving the maintainability of source code without modifying its
external behavior. Previous works proposed approaches to recommend refactoring …

Experimental evaluation is key to systems research. Because modern systems are complex
and non-deterministic, good experimental methodology demands that researchers account …

The usage of Python idioms is popular among Python developers in a formative study of 101
Python idiom performance related questions on Stack Overflow, we find that developers …

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

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

Performance is a crucial non-functional requirement of many software systems. Despite the
widespread use of performance testing, developers still struggle to construct and evaluate …

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