top of page

AI-Assisted Flow For Testers

How might we help performance testers identify, name, and replace dynamic values without leaving the script editor? 

Note: Due to NDA constraints, I’ve modified a few details and visuals where necessary.

image.png
image.png

Introduction

Candidate Parameterization is an AI-assisted feature within LoadRunner VuGen, the script editor performance testers use to record and edit load-test scripts.

 

The feature automatically detects hardcoded values inside a recorded script session IDs, timestamps, tokens, and similar dynamic data and suggests them as candidates for parameterization, replacing a manual, multi-step workflow with a guided, largely automated one.


This case study explores the research, problem framing, design exploration, usability testing, and measured impact behind redesigning how performance testers parameterize scripts in VuGen.

Frame 1010105748.png

Business Context

VuGen scripts are recorded by capturing real user traffic, which means every value captured during recording — including values that change on every run is hardcoded into the script. Replaying a script without parameterizing these values sends identical data on every iteration, which does not reflect real-world load and can invalidate test results entirely.


Enterprise teams across fintech, e-commerce, and banking reported that parameterization was consuming a disproportionate share of scripting time, and that the existing manual workflow scaled poorly with script size and team size. Rather than building a narrow fix for one workflow, the goal was to:
•    Understand why parameterization was so time-consuming across teams
•    Identify which parts of the workflow could be automated without sacrificing control
•    Design a system that worked for both power users and occasional testers
•    Reduce time-to-parameterize without introducing new risk of false replacements

Research Approach

Instead of asking:
“What would make parameterization easier?”

We focused on:
“What is the tester actually trying to accomplish, and where does the current workflow get in the way?

image 20.png

No candidates scanned yet

Tells the user the system is ready but waiting on them.

Scanning Large Script

Tells the user the system is working, how far along it is, and that they're not trapped.

image 19.png
image 21.png

No dynamic values found

Tells the user the scan succeeded and that zero is a real answer, not a broken one.

Frame 1010105750.png
Frame 1010105749.png

Note: Due to NDA constraints, I’ve modified a few details and visuals where necessary.

But would be happy to discuss.

bottom of page