activity
20192026
most citedDuet Benchmarking: Improving Measurement Accuracy in the Cloud

19 citations · 39 across the 4 of their papers we have counts for

collaborators

5 papers

cs.SE2026

Evaluating Change Point Detection Methods for Software Performance Regression Analysis

Diego Elias Costa, Michele Tucci, Luca Traini +8

Performance issues in software systems are a critical quality issue that can erode user trust, violate service-level agreements, and ultimately affect business efficiency. Conseque…

cs.CR2020★ 7 cited

DjangoChecker: Applying Extended Taint Tracking and Server Side Parsing for Detection of Context-Sensitive XSS Flaws

Antonín Steinhauser, Petr Tůma

Cross-site scripting (XSS) flaws are a class of security flaws that permit the injection of malicious code into a web application. In simple situations, these flaws can be caused b…

cs.CR2020★ 12 cited

Database Traffic Interception for Graybox Detection of Stored and Context-Sensitive XSS

Antonín Steinhauser, Petr Tůma

XSS is a security vulnerability that permits injecting malicious code into the client side of a web application. In the simplest situations, XSS vulnerabilities arise when a web ap…

cs.PF2020★ 19 cited

Duet Benchmarking: Improving Measurement Accuracy in the Cloud

Lubomír Bulej, Vojtěch Horký, Petr Tůma +2

We investigate the duet measurement procedure, which helps improve the accuracy of performance comparison experiments conducted on shared machines by executing the measured artifac…

cs.PL2019★ 1 cited

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

Aleksandar Prokopec, Andrea Rosà, David Leopoldseder +9

The recently proposed Renaissance suite is composed of modern, real-world, concurrent, and object-oriented workloads that exercise various concurrency primitives of the JVM. Renais…