Quality Engineering Advisory for
High-Quality Software
Address quality engineering challenges, enhance efficiency, and drive strategic advantages for robust software quality
Overview
Our Quality Engineering Advisory optimizes business processes, technology, and teams using accelerators and solutions to reduce efforts by 25-50%, improve time-to-market by 30%, and seamlessly integrate complex, future-ready applications with legacy systems.
Service Offerings
Our Quality Engineering Advisory services focus on helping organizations streamline their software quality efforts across business, technology, and people dimensions. We provide tailored strategies and solutions to ensure that both modern and legacy applications are future-ready, while significantly improving efficiency and delivery timelines.
Business Alignment & Strategy
Business Process Optimization: Identify gaps in current quality engineering practices and align testing strategies with business goals.
Cost Optimization
Reduce overall testing costs by leveraging reusable assets, industry accelerators, and automation frameworks.
Risk Mitigation
Proactively assess and manage risks to ensure software quality across the lifecycle.
Technology & Tools
Technology Assessment: Evaluate and modernize existing tools and testing frameworks to ensure compatibility with evolving technologies and legacy systems.
Accelerators & Solutions
Utilize Infinite’s accelerators and industry-proven solutions to reduce testing efforts by 25-50%, and achieve faster time-to-market by up to 30%.
Automation & AI-Driven Testing
Implement AI-powered testing tools to enhance automation coverage and reduce manual efforts.
People & Capability Building
Skill Enhancement: Provide skill development programs and capability assessments to strengthen the quality engineering team.
Process Maturity Improvement
Guide teams on implementing industry best practices and maturing their testing processes for higher efficiency and reliability.
Collaboration Enablement
Foster cross-functional collaboration between development, testing, and operations teams for seamless quality delivery.
Differentiators/
Competency Cards
Accelerated Time-to-Market
Fast-track your delivery with tailored automation, agile methodologies, and seamless DevOps integration.
Comprehensive Test Coverage
Achieve thorough and accurate testing with end-to-end solutions, customized strategies, and robust data management.
Digital and Legacy Expertise
Seamlessly test and integrate both modern digital platforms and legacy systems with our specialized expertise.
Major Effort Savings
Reduce effort and cost with efficient processes, reusable assets, and advanced analytics.
Challenges & Solutions
Automated Test Case Generation: Use AI-driven tools to generate test cases automatically, reducing manual test creation by up to 50%.
Optimized Test Coverage: Implement risk-based and model-based testing strategies to focus efforts on high-risk areas, reducing redundant testing.
Accelerators: Utilize pre-built test accelerators that integrate seamlessly with existing frameworks, minimizing effort and improving productivity.
Shift-Left Testing: Integrate testing earlier in the development lifecycle, including unit tests and continuous integration, to catch defects earlier and reduce delays.
Continuous Testing: Leverage DevOps pipelines with automated testing at every stage, from development to deployment, ensuring faster and more reliable releases.
AI-Enhanced Predictive Analysis: Utilize AI to predict potential bottlenecks and optimize test execution schedules to avoid delays.
Intelligent Automation: Implement AI-driven test automation that can self-learn and adapt to changes in the application, ensuring minimal rework and maintenance.
Tool Consolidation: Streamline automation tools and frameworks, ensuring that the right tools are used for specific testing types, like functional, performance, and security testing.
Test Data Automation: Automate test data creation and management to ensure reliable and quick data provisioning, reducing delays due to data-related issues.
AI-Powered Testing Solutions: Integrate GenAI tools to enhance test planning, execution, and defect triaging, ensuring smarter decision-making and reducing human intervention.
Test Impact Analysis with AI: Use AI to analyze the impact of code changes on existing tests, focusing on only executing the tests that are likely to be affected, saving time and effort.
Defect Prediction Models: Leverage machine learning models to predict defects and optimize testing efforts by concentrating on areas prone to failure.
Hybrid Testing Approaches: Implement a mix of legacy and modern testing strategies, using automation frameworks that support both environments, ensuring seamless integration testing.
Automated Regression Testing: Use automation for regression testing across legacy and modern systems, ensuring that changes do not break existing functionality.