The challenges of building top quality software can be split into two main groups — business and technology.
Cost efficiency. The premier challenge for business leaders. Main activities include finding ways to cut time-to-production, making headcount planning more efficient, sharpening the innovation focus, spanning industries and business strategies.
Cost quality. User expectations of product quality are on the up. The bar rises each year with global digitalization and the existence of trend-setting flagship products. Core quality puts usability, speed, security and convenience of the developed product on the spot, interrogating the stability of releases, and frequency of hot fixes and patches.
Then there’s the challenge of maintaining continuity of delivery, which implies being able to test “anywhere, anytime.” The biggest obstacle to achieving continuous testing is the long feedback loop between detecting an issue and fixing it. This is preceded by the time gap between defect introduction to the code and detection during the testing cycle. One of the major impediments to the creation of effective testing continuity is a lengthy regression cycle.
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Three giants of test automation complexity are test maintenance, test environments and test data.
The test maintenance ordeal starts to impact large test automation initiatives from the third or fourth iteration (occasionally the second iteration) and is caused by the need to keep automation suites up-to-date while continuing to automate tests for new functionality at an even pace. It includes addressing overheads like test bloat (redundant tests), dealing with false positives and negatives in the test results, and performing root-cause analysis.
In addition, we need to resolve complex, high maintenance and unstable test environments. Enterprise ecosystems consist of multiple downstream and upstream systems that are in a state of continuous development and release. That makes it difficult to create and follow a sustainable, end-to-end test approach until version control and the DevOps process have achieved maturity.
To create an effective test automation suite that addresses all requirements, you must maintain and refresh test data in an efficient way, combining the creation of synthetic test data with the use of prod-like data to test. Cloud migration (IoT, big data) and large transformation programs are driving the need for scalability and data integrity testing that can only be effective if the underlying test data challenge is resolved.
Reduce costs
Improve speed and agility
Improve quality
Reduce risk
Reduce time-to-market
Business-driven test focus
Headcount optimization
Optimize SDLC
Reduce cost of quality: Increase the volume and frequency of testing cycles, and start testing earlier with a “shift-left” approach that lowers the cost of fixing defects.
Rapid testing cycles: Test automation increases the velocity of delivery teams by reducing the time it takes to ensure quality.
Improve quality of testing: Automation enables you to mitigate risks related to human errors, build a baseline of quality, and establish measurement and control mechanisms.
Reduce and manage risks: Transparent and measurable outcomes help to identify, manage and control risks related to testing.
Faster time-to-market: Higher velocity provides a competitive advantage and enables the reallocation of cost savings to other IT and business initiatives.
Headcount optimization: Test automation lowers the cost of repeatable testing cycles which, in general, consume most of the QA team’s capacity.
Optimize SDLC: Integrate QA processes with modern CI/CD instruments, making the testing process an essential part of the automated delivery pipeline.
QA engineers globally
QA engineers in the BCM industry
More than 50% of specialists are ISTQB certified
More than 66% senior specialists
Predominantly test automation engineers (more than 50% of population)
Domain expertise in Banking and Capital Markets, Automotive, Technology, Media and Telecoms, Healthcare and Life Sciences, Retail and Consumer, Energy, Manufacturing and Utilities
Extensive knowledge of the full range of automation tools, both third-party platform solutions and popular open-source instruments
Rapid ramp-up and ramp-down options
24/7 testing capabilities due to variable offshore delivery locations (covering three main geographies — EMEA, APAC and the Americas)
Cost-effective onsite and/or offshore delivery model
Variety of pricing (from time and material to fixed price) and engagement models (from staff augmentation to managed services)
Luxoft’s approach to QA focuses on preventing defects by establishing high-quality software implementation processes and practices. Our commitment to a quality-driven culture ensures inbuilt quality throughout our projects and products. One of the most efficient ways to reduce the cost of quality (CoQ) is by implementing test automation.
QA automation is the main driver for delivery acceleration: Having test automation ensures that development teams can deliver more products with higher quality by establishing reliable, automated and efficient testing procedures. This approach lowers both the costs and risks of software development projects.
Luxoft’s domain expertise: Extensive experience of business domains gives our teams a deep understanding of business flows and products, as well as ways of testing them efficiently.
Flexible toolset options: We provide appropriate solutions based on technology and client requirements. Luxoft offers industry-leading vendor solutions, as well as flexible and popular open-source options.
Transition framework: Test automation is a part of the transition methodology Luxoft uses for transformation projects to achieve a rapid ramp-up and deliver successful automation projects. This approach enables both a quality boost and significant cost-savings for our clients.
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