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QA AUTOMATION CASE STUDY · PLAYWRIGHT + ZEPHYR5 days → 4 hours.

How Solus automated release testing with Jira, Zephyr Scale and Playwright — so every base-code upgrade is verified in an afternoon instead of a week.

4 hrsproduction testing cycle, down from 5 days
2 dayssandbox validation, down from 5 days
70%faster release cycles
Real-timedefect traceability in Jira
THE SHORT ANSWER

The result, in one paragraph.

Solus automated a client’s release testing with Playwright, Jira and Zephyr Scale. Production testing after each base-code upgrade fell from 5 days to 4 hours, sandbox validation from 5 days to 2, and release cycles became 70% faster. Failed test steps now create Jira defects automatically, visible to every stakeholder.
THE CHALLENGE

Every upgrade meant a week of manual testing.

Base-code upgrades required up to five days of manual testing to confirm stability across environments. Test cases lived outside the delivery process, defects were logged by hand, and the QA team had little time left for strategic work.

The goal: automate the test scripts, connect them to Jira, and give the QA team real-time insight into system health after every upgrade.

WHAT WE BUILT · CLICK A STAGE

An automated QA pipeline, end to end.

STAGE 01

Test management in Jira

Zephyr Scale set up inside Jira, with test cases linked to stories and epics and organized into folders and cycles for full traceability.

JiraZephyr Scale
› project: RELEASE-2.4
› folders: login · api · ui · regression
› cases linked to 38 stories
› coverage map: ready
OUTCOMES

Faster releases, and a QA team freed for real work.

Increased test coverageFunctional, non-functional and regression scenarios covered at every step.
Reduced manual effortAutomated execution frees QA engineers for strategic, value-adding work.
Real-time defect traceabilityDefects created from failed steps inside Jira, visible to every stakeholder.
Faster sprint feedbackRapid execution and reporting surface issues early in each iteration.

Hiring remote IT staff through Solus was seamless. Their professionals quickly adapted to our workflow, helping us accelerate our QA department and build automation to accelerate our SDLC.

Ana BennetSVP of IT, SaaS company
WHY IT MATTERS

If QA feels like an afterthought, it's already costing you.

$2.41Tcost of poor software quality to U.S. companies each yearCISQ, 2022
$1.52Taccumulated software technical debt in the U.S.CISQ, 2022
5 → 2days for sandbox validation after automationThis engagement
70%faster release cycles once tests ran in the pipelineThis engagement
QUESTIONS WE HEAR

Quick answers.

Which tools did Solus use?

Playwright for automated tests, Zephyr Scale for test management, and Jira for defects and traceability, connected to the delivery pipeline.

What changed for the QA team?

Automated execution freed QA engineers from days of manual regression testing for strategic work, with faster feedback in every sprint.

Could the same approach work for us?

If you run regular base-code upgrades or releases with manual regression testing, yes. Start with a QA assessment to size the gain.

Inactive

Simplifying Information Technology for a competitive world.
Platform partnerships
  • AWS
  • Google Cloud
  • Microsoft
  • Salesforce

Inactive

Services
Delivery Models

Staff Augmentation

Managed Service

QA Automation

Global Delivery Model

Industry Focused

Inactive

Services
Delivery Models

Staff Augmentation

Managed Service

QA Automation

Global Delivery Model

Industry Focused