We help testing teams reduce their effort significantly by embedding our proprietary Mosaic Automation platform across the testing value chain. The leading-edge platform combines principles of process reengineering with machine learning, cognitive computing and artificial intelligence to boost the efficiency of the test authoring process and streamline its execution.

We also provide Testing-as-a-Service (TaaS) to enable businesses to access on-demand validations, eliminating the cost of test environment management.

Our gamut of services includes:

• Data Centric Testing
• Functional and Regression Testing
• Test Automation
• Non-Functional Testing
  • Performance Testing
  • Security Testing
• UAT Support

LTIMindtree’s approach for data assurance focuses on end-to-end data-centric testing and comprehensive test data management. Performed by a testing team leveraging RADAR test automation tools, the data-centric testing compares data from the source and target system and involves tests for:

• Data Structure – Covers checks for deployed tables, views, stored procedures and macros in the database, modeled columns, and column characteristics
• Data Completeness – Validates record counts, reconciles financial fields, checks rejected record counts, and verifies the contents of the fields being populated in the stage and target databases
• Data Quality – Scans data for null key values, duplicate records and invalid data types, checks for distinct values and ensures their validity, and mandates adherence to global rule requirements
• Data Correctness – Validates data which has been transformed according to business rules, error handling process, data capture process, ETL generated fields and batch load process
• Data Integrity – Ensures referential integrity between parent and child tables; checks data in stage database against data in the warehouse and data in the warehouse against data in the data mart; verifies data in the physical tables against data presented in the logical views

LTIMindtree provides a ‘one-stop solution’ for data-centric testing which covers the following stages in the data testing lifecycle:

• Data Staging Validation
  • Performed using LTIMindtree’s Big Test tool
  • Ensures correctness of data being pulled into the system by validating data from sources including RDBMS, web logs and social media
  • Checks source data against the data being pushed into the Hadoop system for inconsistencies
  • Verifies that the right data is extracted and loaded into the correct Hadoop Distribution File System (HDFS) location.
• Hadoop ‘MapReduce’ Validation
  • Ensures the effectiveness of the MapReduce process
  • Checks if the data aggregation and segregation rules are being implemented on the data, and key value pairs are being generated
  • Validates the data after the MapReduce process is executed
• Output Validation
  • Runs checks to ensure that the transformation rules are being correctly applied
  • Examines data integrity and data loading into the target system of MAP, and identifies instances of data corruption
• Streaming Data Validation
  • Carries out robust data quality checks for systems using multiple data streams to capture and report any cases of data discrepancy

Effective testing of software systems is often a casualty as firms rush to go live as quickly as possible or allocate very limited budgets for testing. Organizations looking to release high-quality software rapidly must consider automating time-consuming, error-prone testing processes, thereby optimizing quality assurance expenditure and enhancing testing effectiveness. Test automation helps reduce manual effort and accelerates regression testing, while eliminating risks associated with human error.

Leveraging our proven expertise in quality assurance, you can:

• Define test automation frameworks to automate testing of systems across an end-to-end business process
• Implement test automation frameworks to automate test cases
• Migrate test automation tools from one platform to another

We use our proprietary solution accelerators to drive rapid automation of functional and regression testing.

How does this help you?

• Early automation: Conduct test automation in parallel with the preparation of manual test cases, on confirmation of test requirements
• Faster time to market and increased ROI: Gain competitive advantage and route cost savings to critical IT and business initiatives
• Pre-built function libraries: Reduce the cost of developing an automation test suite by up to 30% and generate automated scripts after documenting the logical flow of test cases
• Offline automation: Minimize investment in test tool licenses by eliminating the need for multiple licenses during the test execution phase. Licenses are required only during test execution and creation of the object repository for the application under test (AUT)
• Reusable business components: Enable higher reusability and reduce effort during the maintenance phase. Automate test cases based on the design of the business processes, resulting in higher reuse of scripts
• End-to-end automation framework: Implement a scalable, well-defined, easy-to-use and extensible automation framework covering multiple application technology platforms and packages, ensuring lower CAPEX and faster ROI
• Automation methodology: Reduce development cost by empowering business users and manual testers to develop automated test scripts