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Taxonomy of performance testing tools

https://doi.org/10.1145/3341105.3374006
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Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/cpe.3246openalex-snapshot
Delivering Web service load testing as a service with a global cloud
inferredcites →https://doi.org/10.1007/978-3-319-00945-2_38openalex-snapshot
Automatic Load Testing of Web Application in SaaS Model
inferredcites →https://doi.org/10.1007/978-3-540-68947-8openalex-snapshot
Dependability metrics: advanced lectures
inferredcites →https://doi.org/10.1007/978-981-10-2750-5_70openalex-snapshot
LTTC: A Load Testing Tool for Cloud
inferredcites →https://doi.org/10.1007/978-981-10-7245-1_32openalex-snapshot
Development of Performance Testing Suite Using Apache JMeter
inferredcites →https://doi.org/10.1007/s11042-013-1536-3openalex-snapshot
Towards virtualized and automated software performance test architecture
inferredcites →https://doi.org/10.1017/9781108974073.004openalex-snapshot
Introduction to Software Testing
inferredcites →https://doi.org/10.1017/9781316771273openalex-snapshot
Introduction to Software Testing
inferredcites →https://doi.org/10.1049/cp.2013.2086openalex-snapshot
A performance testing and optimization tool for system developed by Python language
inferredcites →https://doi.org/10.1049/iet-sen.2010.0139openalex-snapshot
Investigation on performance testing and evaluation of PReWebD: a .NET technique for implementing web application
inferredcites →https://doi.org/10.1109/32.888628openalex-snapshot
Experience with performance testing of software systems: issues, an approach, and case study
inferredcites →https://doi.org/10.1109/fose.2007.32openalex-snapshot
The Future of Software Performance Engineering
inferredcites →https://doi.org/10.1109/iptcomm39427.2016.7780247openalex-snapshot
Jattack: a WebRTC load testing tool
inferredcites →https://doi.org/10.1109/pdgc.2012.6449887openalex-snapshot
Load Testing of web frameworks
inferredcites →https://doi.org/10.1109/tse.2006.106openalex-snapshot
A Synthetic Workload Generation Technique for Stress Testing Session-Based Systems
inferredcites →https://doi.org/10.1109/tse.2015.2445340openalex-snapshot
A Survey on Load Testing of Large-Scale Software Systems
inferredcites →https://doi.org/10.1145/3030207.3030222openalex-snapshot
AutoPerf
inferredcites →https://doi.org/10.1145/3030207.3044530openalex-snapshot
CloudPerf
inferredcites →https://doi.org/10.1145/949952.940088openalex-snapshot
Regression testing of GUIs

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4806122openalex-extracted
Taxiote: Taxonomy and Practical Guide for Testing of Iot Systems
inferred← citeshttps://doi.org/10.1016/j.jss.2025.112408openalex-snapshot
IoT systems testing: Taxonomy, empirical findings, and recommendations
inferred← citeshttps://doi.org/10.1145/3511805openalex-snapshot
A Taxonomy of Information Attributes for Test Case Prioritisation: Applicability, Machine Learning
inferred← citeshttps://doi.org/10.14445/23488387/ijcse-v10i6p105openalex-snapshot
Performance Testing using Machine Learning
inferred← citeshttps://doi.org/10.52155/ijpsat.v39.2.5471openalex-snapshot
Performance And Functional Testing With The Black Box Testing Method
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