AdaLoad-JMeter: Machine Learning Plugin Training and Evaluation Results

CSV files contain training and testing results for a new machine learning-based plugin called AdaLoad-JMeter for the JMeter load testing tool. The dataset was authored by Faisal Bahadur and last updated on May 24, 2026. It is a 11.1 MB ZIP archive of CSV files.

Use Cases

• Compare the performance of the proposed AdaLoad-JMeter scheme against prevalent schemes based on the evaluation results.
• Analyze the training process of the machine learning plugin based on the generated CSV files.
• Benchmark load testing algorithms using the provided testing data.
• Reproduce or validate the experimental results of the AdaLoad-JMeter plugin.

Strengths

• Dataset size is precisely known at 11.1 MB.
• The dataset includes both training and evaluation phases for the plugin.
• It is associated with a specific, named software tool (AdaLoad-JMeter for JMeter).

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

Faisal Bahadur via figshare

Collection Method

Generated during the training and testing of the AdaLoad-JMeter plugin.

Freshness

Last updated 2026-05-24 05:05:57; freshness should be verified.