QA Testing Methodology is precisely defined at ZSL. Project Management, Maintenance of Time Schedules, Quality Assurance, and Software Engineering are some of the key areas we focus on in the Software Development Life Cycle process. Our exhaustive Methodology ensures thorough and effective QA Testing of the software products and applications.

We have an independent Quality assurance team that conducts various testing methodologies. The QA team performs various testing methodologies like

  • System Testing: System Testing is concerned with evaluating a system’s ease of use and the level of convenience it provides to non-technical people to enable them to utilize the various tools and functionalities offered by the system. This helps users derive the maximum benefit from the system. System Testing further entails detailed analysis of the navigation system, the user interfaces, etc.

  • Black Box Testing: This testing technique whereby the tester does not know the internal workings of the software being tested. This test does not ever examine the programming code and does not need any further knowledge of the program other than its specifications. The advantages of this type of testing are the test is unbiased because the designer and the tester are independent of each other, the tester does not need knowledge of any specific programming languages, The test is done from the point of view of the user, not the designer. Test cases can be designed as soon as the specifications are complete.

  • White-Box Testing: A software testing technique whereby explicit knowledge of the internal workings of the item being tested is used to select the test data. White box testing uses specific knowledge of programming code to examine outputs. The test is accurate only if the tester knows what the program is supposed to do. He or she can then see if the program diverges from its intended goal. White box testing does not account for errors caused by omission, and all visible code must also be readable.

For Software examination both Black box testing and White box testing is required.

  • Stress/ Load Testing: In Stress Testing, the parameters typically tested are: Storage, Computing Time, Communication Capacity, and Database Recovery Time. This process drives the system to the very limits of its endurance in order to determine what features in the application design can fail during implementation. The features that do fail can turn out to be defects capable of causing disastrous failure. Load testing is used to test the load-bearing capacity of the system and to measure the response time and throughput of the various components of the system.
  • Platform Portability Testing: Platform portability testing addresses concerns regarding a product’s capability to interface with other software and hardware. Zslinc is equipped to test Client products across a varied range of software and hardware platforms to evaluate the related issues involved in Platform Portability Testing.

  • Functionality Testing: Functionality Testing is performed to ensure the conformance of the application to the specified requirements. In Functionality testing, as the name suggests, the test engineer does not access the source code and the testing is more behavioral. The sole focus of Functionality Testing is to ensure that the system conforms to the expected results under various test scenarios.

  • Regression Testing: During the development cycle, the regression testing is carried out for each of the intermediate builds promoted periodically, by a pre-planned regression testing cycle. Whenever defects are fixed, ZSL does regression testing on the entire application/system. Most of test cases in the test suite are automated to minimize manual testing effort.

  • Integration Testing: Testing the interface between ‘items’ previously tested in isolation. Examples of items are components, integrated components, and entire applications.

  • Performance Testing: After identifying the scenarios representing the functionality that are critical from the point of view of stress and scalability, they are tested using an automated tool. ZSL uses automated tools to simulate the load and measure the metrics with respect to performance, durability and scalability. Finally, the output is analyzed based on various parameters including the response time, failures, CPU utilization and throughput.

  • Installation Testing: Checking that the correct version of application has been installed correctly on the targeted OS/Hardware environment. This is done in conjunction with Configuration Management. De-installation should also be tested if appropriate.

  • Acceptance Testing: The Client Project Manager/Team will prepare acceptance Testing Plan and Test Cases based on the system requirement. The test cases will be executed and treated as exit criteria if those cases passed successfully. The Business User of the end product i.e. the Software Deliverable performs this test. The focus of this test is primarily the Business Functionality of the software product. The User may perform Volume, Regression, Stress and Chain tests at an application level.

All the Test results are documented in a structured manner. The test data and results are used to improve the quality of the software over few iterations.
 
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