Table of Contents
A proof of concept (POC) is a small-scale prototype that demonstrates the viability and benefits of a certain method or idea.
In test automation terms, a POC aims to showcase the feasibility of automated testing for an application and the return on investment it can deliver.
Developing a solid test automation proof of concept is crucial before full scale adoption across an enterprise for three key reasons:
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Validation: It proves whether automation technology can work successfully within existing infrastructure and QA processes before broad rollout.
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Demonstration: It shows clear comparisons between manual and automated testing effort to quantify potential time and cost savings.
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Approvals: It secures the upfront project sponsorship, budget and resources needed from management to proceed with automation at scale.
According to Gartner, barely 20% of organizations who attempt test automation succeed. A well-executed POC is fundamental to make sure your company is amongst the successful minority.
So how can you implement an effective automation POC? This comprehensive guide provides all the steps.
Step-by-Step Process For Building An Automation POC
Step 1: Define Scope and Approach
First and foremost, you need to define the right scope and coverage plan for your automation POC:
1.1 Start by identifying business goals
What problems does test automation aim to address in your context? Common objectives include:
- Accelerating testing velocity for faster release cycles
- Enabling continuous testing with DevOps
- Scaling test coverage through unattended execution
- Reducing software release defects
1.2 Determine scope – systems, test types and scenarios
Next, determine what systems, test suites and scenarios will be included in automation POC.
As examples, you can scope POC to:
- Target a specific application module or microservice
- Automate API level tests only or end-to-end UI flows
- Execute on one browser or device first before expanding compatibility
Focus on areas with maximum business impact and opportunity to demonstrate clear ROI from automation.
1.3 Define team structure and responsibilities
Clearly designate automation leads who will own POC execution and partners from Dev, Ops and business teams. Segregate duties across tool evaluation, framework design, script development & execution, reporting and issue tracking.
1.4 Establish metrics baseline
Quantify current manual testing timelines, test coverage, defect leakage and costs. This metrics baseline is vital to showcase “before and after” automation differences later for tangible benefit measurement.
Step 2: Select The Right Automation Tool
Choosing the wrong automation tool is a recipe for POC failure. Use the following criteria during tool screening:
2.1 Functional capabilties
Verify tool supports necessary test frameworks – test driven development (TDD), behavior driven development (BDD), descriptive programming etc. Other key features:
- Web, API and mobile testing on required platforms/devices
- Cross-browser and database compatibility
- CI/CD integration and command line execution
- Visual, service virtualization and AI-enabled test generation
2.2 Scalability needs
Factor for volume of tests, concurrent user loads, test data requirements etc. Ensure tool can deliver on current and future scalability needs in these areas.
2.3 Ease of use
Check for simple recorder-based scripting, built-in selectors identification and readable syntax. Comprehensive documentation, training and support plans essential too.
2.4 Total cost of ownership
Factor both license and operating costs like maintenance, training, script management etc. into account for long term TCO.
Spend adequate cycles here as changing tools midway proves highly disruptive. Refer detailed guide on tool analysis and selection considerations.
Step 3: Develop POC Test Automation Framework
With tool finalized, next focus on building sample test automation framework for POC execution.
3.1 Determine right abstraction layers
General convention is to separate test management, driving and reporting capabilities into modular layers as below:
This provides stability and customization without needing script changes for maintenance.
3.2 Standardize folder structures, filenames and reporting
Use consistent folder structures like:
/Tests
/API Tests
/Web Tests
/Mobile Tests
/Page Objects
/Test Data
/Input Data
/Expected Data
/Test Reports
/Summary Reports
/Failed Tests
/Logs
/Tools and DriversStandardize test, object, method and variable naming schemes. Automate syslog, screenshots on failure and detailed HTML reports codified to team standards.
3.3 Design for maintainability
Leverage descriptive programming over record-replay model for self-documenting and easily maintainable scripts. Externalize test data for input parameterization without hardcoding values. Add exception handling for known application defects.
3.4 Reuse over reinvent
Maximize code reuse across test cases and suites. Have shared test utilities around test setup, tear down, error handling, reporting, API helpers etc. Leverage existing page object models or industry open source frameworks when feasible.
Spend enough time in designing robust POC framework upfront for long term automation supportabiity.
Step 4: Execute Automated Test Cycles
With the test automation framework in place, execute end-to-end automated test cycles:
4.1 Run automated test suites
Trigger scheduled executions across web, mobile and API test suites per defined scope.
4.2 Analyze test reports
Evaluate automation reports and logs to ensure stable runs and capture relevant metrics – test counts, pass rates, failures, system under test (SUT) defects detected etc.
4.3 Compare automation vs. manual effort
Using the same test cases, compare effort and outcomes for manual testing vs. automation. Calculate comparative metrics across –
- Test coverage: Number of test scenarios and test cases executed
- Execution times: Manual testing time vs. automated time
- Defect detection rates: Unique defects found manually vs. by automation
- Cost: Manual testing resource hours vs. automated scripts maintenance costs
4.4 Fix issues
Diagnose root cause for failed tests – whether from test instability, tool limitations or product defects. Rerun updated tests until stability achieved.
Step 5: Report Outcomes and Recommendations
The final but most crucial step is to convincingly report POC results and convey your recommendations to senior management for securing automation budgets.
5.1 Prepare visual presentation
Cover background context, scope, tool selection methodology, test approach, defect logs, effort benchmarks and recommendations.
Illustrate with charts, execution videos and sample reports. Keep messaging clear and impact focused.
5.2 Showcase ROI measurement
By comparing manual vs. automation metrics captured in Step 4, determine projected returns across three model dimensions:
a) Cost reduction
Show budget savings possible annually through:
- Reduced test execution and maintenance effort
- Faster test cycles and Go to market
- Higher quality resulting in lower defect overheads
b) Productivity gains
Demonstrate tangible productivity uplifts by:
- Expanding test coverage and depth using same team
- Increasing release frequency with reliable regressions
- Enabling innovative CD pipelines promoting velocity
c) Strategic alignment
Link benefits to wider CXO priorities around:
- Customer satisfaction through better quality
- Competitive advantage through agile capabilities
- Revenue protection by identifying defects proactively
5.3 Provide phase-wise implementation roadmap
Define clear rollout plans covering timeline, training, support and success milestones recommendations. Offer options where applicable.
Key Takeaways
- A solid test automation POC is the crucial first step to ensure success of full automation program
- Maintain sharp focus on business priorities and expected outcomes while defining approach
- Carefully evaluate capabilities of automation tools against current and future needs
- Develop sample framework that demonstrates core design tenets vital for industrialization
- Measure relevant metrics before and after automation to determine true impact
- Package insights and recommendations to secure management investment dollar and partnership
Successfully executing an automation POC helps you gain precious organizational mindshare and necessary budget allocations to embark on route to automated testing transformation.