Digital Assurance and Testing
Digital Testing Services
The digital transformation of the IT industry requires an increased focus on QA as the application quality plays a crucial role in the end-user experience and business value. DKRIN offer reliable digital testing services, with features like customer value assurance, business performance assurance, and Omni-channel testing. Our extensive experience in digital testing assures test integration across local and cloud platforms, and consistent solutions across multiple channel interfaces. Our digital testing services ensure faster time to market, reduced testing cost and production defects.
Agility & Flexibility
- Continuous testing approach
- Domain Knowledge
- Proficiency in working in agile environment
- Scalability and adaptability
Mobile App Testing services
DKRIN’s end-to-end mobile app testing services help organizations to increase efficiency, reduce testing cost, and time to market delivery. We have a dedicated team of ISTQB certified specialists with proven experience in mobile testing methodologies, structured testing approach, and integrated reporting. Our core services in mobile testing include mobile test automation, mobile compatibility testing, performance testing, security and user experience testing.
Main features of DKRIN’s mobile testing services:
- Test on all type of major devices
- Cloud platform for inexpensive testing services
- Expertise on Appium/Calabash
- Focus on customer satisfaction
- Coverage of all major operating system
- Compatibility analysis for different network carrier (4G/3G/2G/Wi-Fi)
Mobile automation is essential in eliminating the redundant tasks from the testing process. The automation testing framework shall be designed in such a way that it is easily extendable and reusable. New components can be easily accommodated without effecting existing components.
- Compatibility with all major operating systems (Android, iOS, Windows & BlackBerry) with different OS versions
- Data driven and behaviour driven framework
- Effective test script management with easy to understand and flexible scripts
Cloud Testing Services
More and more business enterprises are attracted towards the cloud due to its ability to reduce operational costs drastically. There are several other benefits of cloud computing such as high efficiency, flexibility, disaster management and better collaboration. However, cloud implementation comes with its own challenges related to security, performance and integration with traditional platforms. Cloud testing is conducted for the quality assurance of the cloud-based applications. Cloud testing can help an organization in boosting its competitiveness without negatively impacting production applications.
Types of Cloud Testing
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a. Functional Testing
- Acceptance testing: The cloud solution should meet the user expectations
- System verification testing: The system should work as per the pre-described behaviour
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b. Non-functional Testing
- Availability testing: the cloud should be available each time, it is accessed
- Security Testing: Authorization, encryption
- Multi-tenancy test: security and access control for each cloud user
BIG DATA and Analytic Testing
With the digitalization of the economy, the data is growing in burgeoning amount and the business organizations are struggling with proper data management and testing techniques. In big data & analytics testing, testing has to be majorly conducted for validating data extraction, transformation algorithm, data quality, data flow, and business rules. With the drastic development in the IT field, the amount of data generated has also become magnificent, which adversely impacts the data quality. These concerns have created the need for testing, which can maintain the data quality across big data ecosystem.
The characteristics of the big data are defined by 4Vs, namely:
- Volume: In big data, the data is collected from multiple resources in huge volume. This data is growing at an exponential rate every year.
- Variety: The data variety is another challenge in big data management. As more and more information is digitized, the information variety is also increasing. The big data is characterized by structured, unstructured ad meta-data.
- Veracity: The data veracity represents the data value or trustworthiness. It evaluates the reliability of the data and if there are any discrepancies in the collected data.
- Velocity: The data velocity represents the rate at which new data is generated in digital mediums.
ETL Testing
The ETL tools extract the data from heterogeneous data resources; and transforms and load it into the data warehouse. The ETL testing is conducted to identify and mitigate the issues in data collection, transformation and storage.
There are several challenges in ETL testing:
- End-to-end testing of the enterprise warehouse system
- Improper validation techniques
- Lack of comprehensive coverage due to a large data volume
DKRIN offers following a testing services:
Product validation testing
- The product validation testing ensures that the information present in the database is correct and reliable.
Version upgrade testing - Nowadays, daily new applications or their new versions are getting introduced into the market. These upgrades create compatibility issues and systematic testing approach is required to check system compatibility with the new versions. Testing is important in pre and post upgrade of the system to analyze that the system is compatible and works properly with new upgrades. It is essential to validate that existing data is not jeopardized with the system upgrades.
- The metadata holds crucial information about the data quality. The metadata testing is conducted to check data type, data length, and index.