A Comprehensive Guide to Test Monitoring and Test Control

Testing software effectively requires diligent oversight and course-correction when needed. That‘s where test monitoring and test control come in. These interconnected practices give test managers keen insight into the health of test cycles so they can steer them to success.

In this complete guide, we’ll explore what exactly test monitoring and control entail, when to implement them, why they matter, plus best practices to follow. Read on to learn how to master these vital facets of managing test suites.

What is Test Monitoring?

Test monitoring refers to the ongoing evaluation of test activities to ensure testing stays on track to meet targets and predetermined benchmarks. It‘s an integral way test managers assess progress and relay feedback on current testing efforts.

Specifically, monitoring enables the comparison between where testing stands today against an established plan. It shines a spotlight on whether the process is yielding the expected outputs and outcomes.

Common test monitoring activities include:

• Reporting on test results and progress to date to stakeholders
• Tracking and analyzing relevant test metrics
• Assessing test coverage
• Estimating work remaining
• Determining if test tasks are on schedule, ahead of pace, or lagging

In a nutshell, monitoring offers granular visibility so teams can confirm testing meets objectives.

Vital Test Metrics to Track

Monitoring hinges on tracking pertinent test metrics. This quantified data acts as a benchmark to grade progress against.

Some of the most important test metrics to monitor include:

Test Coverage Metrics: Code coverage percentages indicate how much of the application code is exercised by test cases. Tracking this over time shows how thoroughly testing evaluates quality.

Test Execution Metrics: The number of test cases run, passed, failed, blocked, or on hold demonstrates the volume of validation work occurring. Monitoring execution metrics also highlights trouble areas.

Defect Metrics: The number and severity of bugs found reflects product quality. Tracking defects over iterations also shows if root cause analysis and test process improvements are working.

Project Costs: Monitoring budgeted versus actual monetary spend indicates if testing remains affordable. It also helps forecast future expenditure.

Resource Utilization: Labour hours and hardware/software costs reveal test efficiency. This helps determine if resources need to be added or reduced.

Task Status: Whether test tasks stick to the schedule or fall behind is vital for timeline management. Monitoring status shows if deadlines are realistic.

Requirements Traceability: The percentage of requirements covered by test cases provides insight on scope and completeness. Gaps highlight areas needing more test effort.

Analyzing these metrics compared to plans illuminates the health of test cycles. It gives managers data they need to steer progress.

When and How Often to Collect Monitoring Data

So when should teams gather metrics for monitoring? The optimal frequency depends largely on test project duration and complexity.

For short, straightforward test projects, collecting data weekly may suffice. This grants adequate checkpoints to assess if execution aligns with expectations.

For lengthy or intricate testing initiatives, monitoring data should be gathered twice a week or more. This tighter cadence catches emerging issues sooner when they’re easier to correct.

Ultimately teams need timely metrics reflecting test health rather than stale, outdated numbers. Monitor as often as needed to gain an accurate picture.

Evaluating Progress Via Monitoring Data

Once teams assemble monitoring metrics, next comes interpreting what they mean. How does one effectively evaluate test progress based on the data?

Two primary methods exist:

1. Compare Metrics to the Test Plan

Say the test plan calls for 60% code coverage by the end of Test Cycle 1.0. If monitoring shows only 50% achieved, that signals a shortfall versus objectives.

Likewise the plan may forecast 500 test cases executed during a sprint. Actual monitoring data tallying just 300 test runs denotes poorer than expected progress.

2. Compare Metrics Against Pre-Defined Criteria

For example, a target for this test project could be defects remain below 1 Critical bug per 100 test cases. If monitoring shows 2 Critical bugs thus far, that violates the pre-set quality criteria.

Or take task status – if monitoring reveals half the test tasks now lag schedule by over 2 days, that breaches a benchmark for timeliness.

Checking metrics against both pre-arranged plans and success criteria quickly exposes testing shortfalls. This sets the stage for corrective test control.

What is Test Control?

Test control entails taking action to optimize the test process when monitoring reveals issues. It’s how test managers proactively realign execution to reach goals after discovering problems.

Common test control activities include:

• Changing test case priority
• Updating test schedules/deadlines
• Modifying the test environment set-up
• Adding testing resources where needed
• Reducing application scope to accelerate release

Test control sees leadership intervene to get testing back on track. Instead of staying the course and hoping lagging metrics self-correct, prudent corrective moves align execution with targets.

Control relies heavily on monitoring for input on where adjustments must occur. In turn, control actions ultimately shift the metrics curve favorably through improved test performance.

Why Monitoring & Control Matter for Testing Success

It‘s vital to recognize that quality testing doesn‘t happen by accident. Skilled oversight and management are integral for test suites to deliver full value.

This is why combining consistent monitoring with responsive control is so key. The duo gives managers unmatched perspective into test health.

Monitoring sheds light on precisely which aspects of testing fall short of goals. Control then activates tactical levers to resolve those weak spots via altered test parameters.

Absent monitoring, testing occurs as a black box – opaque to guide enhancement. Missing control leaves underperforming test cycles languishing without fixes.

But together, these practices enable data-driven optimization of test progress. They turn execution into a closed feedback loop of continuous improvement.

Best Practices for Test Monitoring and Control

Now that we‘ve covered what monitoring and control involve and why they matter, let‘s dig into some proven tactics to leverage them effectively:

Institute Standards Upfront

It all starts with defining standards early on – well before testing begins. These standards form a rubric monitoring will grade results against later.

Crucial areas to standardize include:

• Processes – Map the exact test flow and activities
• Tools – Designate solutions for test design, execution, defects etc.
• Metrics – Identify key metrics reflecting test thoroughness, quality, pace etc.
• Reporting – Determine monitoring frequency and stakeholder updates

Document standards so everyone understands targets. This aids smoother monitoring and control downstream.

Emphasize Documentation

Speaking of documentation, generally stress extensive note-taking during test monitoring and control:

• Log every incident, including details like timing, test case, environment etc.
• Record all test results for comparison later
• Document meetings, decisions and stakeholders notified
• Catalog any process changes enacted

Thorough documentation builds an audit trail about events occurring within test cycles. Such awareness enables smarter control choices to maximize outcomes.

Remain Proactive & Adaptable

Testing rarely proceeds precisely as planned. Unforeseen issues around timelines, scope, quality, resources etc often crop up.

The best teams anticipate some difficulties will emerge during monitoring. Maintain a proactive, flexible mindset ready to implement controls addressing problems.

Build slack time into schedules, secure extra budget upfront and start testing the riskiest areas first. These and other buffers amplify readiness to handle monitoring findings.

Involve Stakeholders in Control Decisions

Don‘t institute control measures unilaterally without consulting other parties. Engage both test team members and business stakeholders when making control-based changes.

Include end-users, product managers, developers, testers and anyone monitoring metrics indicates has a vested interest.

This boosts buy-in for alterations by incorporating multiple viewpoints. Collaborative control choices tend to work out better through broad input.

Audit Control Effectiveness

After applying control changes, verify they deliver the expected benefit via improved metrics later on. If numbers haven‘t yet turned around, further modification may still be required.

Basically “control the controls” by analyzing their effect following implementation. Don‘t just set alterations in motion and move on – audit outcomes to confirm issues actually resolve.

With testing, progress happens in a plans > monitor > control > repeat continuous improvement loop. Review control efficacy to keep tuning execution for the better.

The Critical Importance of Real Devices

We‘ve surveyed why combining monitoring vigilance with control fluidity sets up testing success. But there‘s little chance to realize positive outcomes lacking one fundamental ingredient: real devices.

Testing exclusively happens on emulators, simulators or desktop browsers breeds danger. This isolates execution far from authentic real-world conditions facing end users post-release.

Instead, comprehensive monitoring and control rely on testing against an expansive, up-to-date collection of real mobile devices. This includes both new flagship phones like the iPhone 14 Pro Max alongside legacy ones still common like the iPhone 7 running iOS 12.

Real devices serve as the most honest, demanding litmus test. Their hardware and software mirror what application code must perform on amidst fragmented user scenarios.

Emulators can mock some aspects of devices under simulator command. But only actual smartphones and tablets expose code to literally billions of potential native environments.

Likewise real user network conditions and interactions dictate performance too. Slow 3G connections, touch gestures and mobility via GPS changes materially impact operation.

Without real devices as the test bed, monitoring offers incomplete visibility blind to huge swathes of field use. Hampered awareness impedes control as underlying issues hide undiscovered.

Testing Against Thousands of Devices with Ease

But attaining expansive, up-to-date device coverage has always imposed extreme overhead. Traditionally organizations either invested heavily building internal labs or outsourced specialized testing partnersengagement.

Luckily the cloud now enables affordable access to vast real device and browser catalogs on-demand. Platforms like BrowserStack eliminate infrastructure costs while providing incredible testing flexibility.

BrowserStack offers instant availability of 3000+ unique real mobile devices and browsers. These range from just-released iPhone 14 handsets to 10 year old Android phones still in circulation globally.

Engineers tap BrowserStack to run monitoring tests at any scale across this hardware/software spectrum. Automated and manual testing suitessurface how UIs render and code operates in genuine user conditions worldwide.

Powerful controls give teams options to throttle network speeds, adjust GPS locations, simulate actions like touch and geofencing and replicate low battery states. This strains apps against edge cases reflecting reality.

In short, BrowserStack grants access to the sheer device diversity essential for credible monitoring and control. Sign up to start experiencing the platform and testing realism difference.

Take Charge of Your Test Destiny

In closing, neglecting test monitoring and control sets up failure while dedicating focus here catalyzes success. These interconnected disciplines reinforce and complement one another to drive testing excellence.

Now that you know what monitoring and control involve plus top tips to leverage them, it’s time to put this knowledge into practice. Position your next test project for victory by baking in robust oversight and fluid course correction every step of the way.

Remember as well that genuine device testing forms the foundation. Armed with actionable visibility and sharp corrective instincts, you’re equipped to ace any test challenge that comes your way.