Have you ever experienced a project running into budget issues, schedule slippages and getting delayed due to some last moment defects? These issues are so common so the answer is, probably yes!
The need to implement large, business and customer critical systems in an environment driven by short timelines and tight budgets has led to a change in methods that deliver business value quickly. One such method is Shift-Left Testing.
This article will also answer a very important question – Why does DevOps recommend shift left testing principles?
Visual Summary
“It is 15 times costlier to fix defects in the test phase of a waterfall project because testing occurs later in the project development lifecycle.“ – IBM SYSTEM SCIENCE INSTITUTE REPORT
Relegating the entire testing to the last stage just before deployment is no longer feasible.
So, how do we fix this? The answer is simple – Shift Left your entire Testing!
According to Larry Smith – who coined the term Shift Left Testing – “Bugs are cheaper when caught young!” The Shift Left testing approach uses the ‘test early and often’ mantra to perform testing earlier in the life cycle (thereby moving left on the project timeline). The goal is to prevent defects and mitigate risks rather than deal with a whole load of bugs and critical issues post-development. Shift Left testing avoids cost overruns and project delays.
If you answer ‘Yes’ to all these questions, Shift left is the key!
Shift left does more than just help teams find defects early. To shift left means a change in organizations culture.
Now let’s find out what your teams need to do to get started with shift left testing.
Planning is an integral part of the shift left approach. Shift left works best when the Test analysts identify and plan the entire testing lifecycle before the start of the actual development process. This provides a strong starting point for all activities in the test lifecycle, and will help all business and operational stakeholders, developers and testers understand the tasks, objectives and expected outcome from the project.
One way of doing this is by identifying testing requirements right from the project planning and requirements specification phase. Test planning includes budget, resources, testing strategies, and other project requirements. This helps teams focus on quality from day one of the project, rather than waiting for defects to be uncovered late in the software development lifecycle.
The main role of a developer is to code new features or enhancements as per the requirements. However, testing is no longer an activity that is done by a tester.
As the developers are most familiar with their own codes, they can rigorously test their code to rule out any errors and check the application’s functionality. It is also important to ensure that the new code does not give rise to any defects when integrated with the application’s existing functionality. So testing the code as soon as it is developed ensures quicker defect identification. It expedites the process of exposing and fixing coding errors. It helps in reducing uncertainty in a unit. Development testing aims to eliminate coding errors before the code is passed on to the QA team. A perfect blend of both Developer-based and QA-based testing would ensure easy defect identification along with quality feature release.
Collaboration is the key to success. To ensure higher code quality, all developers must agree to conform to the same coding standards.
With the developers now contributing to the testing efforts, the testers can focus on defining quality checks for the developers’ scripts and to focus on exploratory, security, and performance testing.
One of the major issues faced by the testing team is the inability to create automated tests using the same tools as used by the developers. This becomes a roadblock for testers creating the automation framework. A best practice is to use the same technology stack that the developers are using.
Feature Testing is the process of making changes in a software to add new features or to make modifications in the already existing features. Testing these features is extremely important and delivering software incrementally necessitates the Development and QA teams to work collaboratively to deliver a build.
For every incremental build, Webomates CQ, our cloud based testing platform can create, execute, maintain, analyze test cases and generate defects for browsers, mobile, Windows and API applications. Exact state of the system in terms of bugs is known after every check in. With stringent code quality checks, the defects are detected at an early stage hence are easier to fix, ultimately resulting in improved quality of each feature.
In this DevOps driven landscape, it is highly recommended to adopt test automation in order to avail maximum benefit out of Shift Left testing. With test automation, developers and testers can automate the entire build to test process across all the stages of software development.
It’s not just about having test automation. The issues that need to be addressed are:
Defining a smart test strategy holds the key to successful automation testing. Here is the list of factors that can help you to determine whether you should automate a test case or not:
AiHealing®: How up-to-date are the test suites?
Intelligent Test Automation is the key! When new changes are introduced, either by the developer due to the ever-changing requirements or during the integration or build process, there is a chance that the automation may fail due to the predefined test scripts. It is then very difficult to identify which test cases should be modified or added.
Webomates applies AI and ML algorithms to its self-healing test automation framework to dynamically adapt their testing scope to the changes. The AI ML power combo can learn if there is a change made, and then automatically modify the test automation script to fix the problem.
Run time coverage: How much of the automation should be run?
For example, if you have 500 test cases/scripts you might run 125 test cases/scripts in integration tests for a particular module and 40 test cases/scripts in a development environment.
To address gaps immediately, it is advisable to define a continuous feedback mechanism to continuously provide feedback to developers during and after the development stage. It also becomes easy to report defects and achieve desired quality since with continuous monitoring and feedback, the chances of errors tend to reduce over time.
Webomates adopts intelligent automation solutions to support developers to operate with quality and agility. What usually takes others a week, Webomates gives you the results within 24 hours for a full feature testing, and 8 hours for a module testing with healed test cases.
At Webomates, we make the whole testing process better by addressing the following gaps in our test reports.
To address the thousands of hours lost by QA professionals, Webomates created its patented AI Defect Predictor tool and shared true Pass and true Fail reports with the development team along with an in-depth analysis of automation failures. This AI Defect Predictor is provided to the development and QA teams that use CI/CD service to help them reduce their triage time.
For 300 test cases with a failure rate of 35% (105 failed test cases), it usually takes 12 hours to triage the results and identify the false positives. Using the Defect Predictor, the time taken drastically reduces to 2-3 hours.
Shift Left testing provides an effective means to perform testing in parallel to development processes, enabling faster, better and quality applications and enhancing collaboration between development, operation, and testing teams. With Webomates CQ as TAAS (Testing as a Service), it’s a lot easier to identify and fix the defects in the staging environment itself.
With a perfect blend of Agile, DevOps, patented AI Defect Predictor tool and a test automation framework, you can accelerate your Testing Journey with Webomates and provide your developers an opportunity to resolve high-risk issues before users ever encounter them.
Along with shifting left the testing process, our QA team embeds intelligent test automation and continuous testing principles right across the software delivery pipeline. Empowering the QA teams with such real-time self-healing capabilities using the new-age intelligent technologies helps in realizing the true business value and also empowers the organizations in providing value to the customer.
Read our articles on Shift Left Testing in Agile and Skip Security Testing at your own risk to understand how Webomates can help you in building a good product where UI, API, Load, and Security are not left out to be tested as a different component at the end.
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Tags: Shift Left Testing, Shift Left Testing in Agile, Software Testing
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