The rapid adoption and the diversification of cloud computing technology exacerbate the
importance of a sound experimental methodology for this domain. This work investigates …

Many large-scale software systems must service thousands or millions of concurrent
requests. These systems must be load tested to ensure that they can function correctly under …

Performance bugs are programming errors that create significant performance degradation.
While developers often use automated oracles for detecting functional bugs, detecting …

Performance bugs are programming errors that slow down program execution. While
existing techniques can detect various types of performance bugs, a crucial and practical …

Improving performance is a central concern for software developers. To locate optimization
opportunities, developers rely on software profilers. However, these profilers only report …

Software performance is critical for how users perceive the quality of software products.
Performance bugs-programming errors that cause significant performance degradation-lead …

This paper proposes the Scalene Python profiler. Scalene precisely and simultaneously
profiles CPU, memory, and GPU usage, all with low overhead. Scalene's CPU and memory …

Profilers help developers to find and fix performance problems. But do they find performance
bugs--performance problems that real users actually notice? In this paper we argue that …

Performance bugs are a prevalent problem and recent research proposes various
techniques to identify such bugs. This paper addresses a kind of performance problem that …

Many modern software systems are highly configurable, allowing the user to tune them for
performance and more. Current performance modeling approaches aim at finding …