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Evolve from traditional manual testing with IGTs automated Quality Engineering solutions
Our Quality Engineers work closely with your team to develop data-driven frameworks and quality platforms that will enable you to identify real-time predictions of application defects and provide effective Root Cause Analysis (RCA) measures to prevent the issue from re-occurring.
Our Executive Leadership believes that the road to customer delight goes through optimal QE practices. Meet Saravana from QE Leadership Team
With a Masters degree in Computer Applications and as a PMP certified Project Manager, Saravana has more than 15 years of IT excellence under his belt. As our Senior QE Delivery Manager, he ensures collaboration across multiple disciplines to deliver top notch Quality Engineering services.
Saravana lives in India with an extended family. When he is not busy with projects, he explores his interest in podcasts on various topics, relishes crime stories and enjoys long drives in the country. He also cycles regularly to stay fit.
Quality Engineering
Our Methodology
Our QE team creates and implements strategies for quality assurance in both product and software development. We focus on the maintenance of IT systems and enterprise architectures using the latest technologies and highest standards.
Software quality engineering (SQE) is the process of implementing quality checks throughout the entire development cycle. When software quality engineering is integrated into workflows, it can improve agility, productivity, and ROI.
With IGT, QE is closely integrated with existing agile and DevOps processes, as opposed to being added as a layer on top of existing workflows. This mirrors the shifted-left testing principles of DevSecOps teams and is intended to identify issues early on.
Primary Goals of IGTs SQE
Process control and oversight
Implementing standards and metrics
Data collection and analysis
Test development
Identification of issues and solutions
Follow-up to ensure corrective actions
Our Best Practices
Functional Testing: We evaluate user interfaces (UI) and APIs to ensure that design specifications are met. During the functional testing process, core functions are tested along with inputs, menus, and installation procedures.
Peer Review of Code: We ensure that all source code is peer-reviewed. It helps developers learn from each other and improve collaboration. Peer review of code requires clear communication of programming ideas and the reasoning behind implementation.
Static Code Analysis: Our Static code analysis process evaluates source code according to predefined standards. Our tools can be incorporated into integrated development environments (IDEs) in order to highlight quality issues for developers in real-time, promoting the adoption of appropriate quality practices.
Unit Testing: Unit testing is the process of checking code units (components, methods, or classes) against inputs to determine validity. We automate these tests so that code changes are evaluated in real-time.
User Performance Testing: User performance testing evaluates the speed of a product in a given environment. With IGT, this testing can be done manually or automatically. We design tests to ensure that user experiences meet quality and accessibility standards.
The Role of an IGT Quality Engineer
Our team designs, implements, and maintains policies and procedures used to ensure the quality of development processes. Our teams exploit artificial intelligence (AI), big data analytics, and automation.
Our team designs, implements, and maintains policies and procedures used to ensure the quality of development processes. Our teams exploit artificial intelligence (AI), big data analytics, and automation.
Identifying repeated test cases
Automating tests to eliminate issues related to manual testing
Identifying tests requiring multiple environments, such as browsers or operating systems
Integrating testing into continuous integration / continuous delivery (CI/CD) pipelines
Identifying end-to-end test cases
Identify and resolve bugs resulting from test automation failures
Benefits
Implementing quality across the SDLC
IGTs SQE is the extension of quality assurance and testing across the SDLC. Our team helps standardize the application of quality requirements and adopt tooling to increase the efficiency of the process.
This ensures that products meet the rising quality expectations of customers and users without losing delivery speed.
Improved Agility
Our potential clients with pre-implemented agile practices and DevOps methodologies lack in effectiveness.
Our team helps to identify issues in the adoption of these practices and help optimize integration. As adoption of these practices improves, so does the quality of products and ROI.
Implementing AI
We drive the integration of artificial intelligence when automating processes. AI strives to identify glitches more quickly and help developers focus on specific areas needing improvement. By basing analyses on historical data, our AI tooling helps teams predict a possible issue before it occurs.
QMS Frameworks
1
VoC – Integration of Voice of the customer (VOC) into new product designs and processes.
2
SMART TOOLS – Use of Advanced Product Quality Planning (APQP) tools like Failure Mode and Effects Analysis (FMEA) and Quality Function Deployment (QFD).
3
RCA – Fixing root causes through the application of Problem-Solving tools such as 8D, 5 Why, Cause and Effect / Ishikawa diagrams etc., and implementing effective Root Cause Analysis (RCA) responses to prevent the issue from re-occurring.
4
PROCESS CONTROL – Implementation of process controls such as Statistical Process Control (SPC). Ensure collaboration with internal and external suppliers to ensure materials, assemblies and components meet quality and design requirements.
Quality Intelligence
- Analyze your software
- Provide insights
- Build efficient cycles
Our Cross-Functional Approach of Ideation to Execution
- Improved quality of final product
- Efficient production process
Our Process Alignment with SDLC
The Future of Quality Engineering
Autonomous Frameworks
IGTs agile DevOps frameworks use shift left testing, specialized automation testing, and continuous integration. This allows us to divide the application development process into smaller incremental builds, to increase test frequency.
Self Healing Applications
Our Testing for security (DevSecOps) drives automation and helps monitor the QE function to ensure that the application self-heals. This approach helps the application development frameworks become highly autonomous, identifying failure points proactively and pervasively across the entire complex application environment.
Data Analytics
IGT’s QE functions with data-driven frameworks and quality platforms which store every test point and insight, enabling the real-time prediction of application defects. Such AI-driven “test data as a service” provides analytics as a function to testing systems.
Artificial Intelligence
We help our customers to evolve towards a self-managing function by using machine learning to augment the test professional’s ability to identify bugs/system defects, to enable automated environment provisioning, to clean and sanitize test data, and to generate requirements analysis data.
Why IGT for
QA Engineering?
- Agile and DevOps practices intertwined with our QE Practices
- Shorter QE cycles
- Deep Domain Expertise
- Impeccable Track Record in QE practices
- Dedicated QE teams for our customers
- Follow the Sun Delivery Network
- Partnership with Market Leaders