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PSS REUSABLE REGRESSION TEST REPOSITORY

 

 

Mphasis’ PSS Regression Test Repository builds quality into the product development lifecycle to enable Responsive Quality Engineering (RQE). Leveraging test automation, it maximizes test efficiency and uses intelligent test design techniques, while relying on real-time metrics to continuously adapt to the quality status of the product under development.

FEATURES

 

Mphasis PSS Regression Test Repository has readily available reusable assets across all functional areas within Reservation, Fares & Ticketing, Check-in, Boarding(Gate), Reissue, and Refund. Its features include

 

• Exhaustive PSS & Cargo end-to-end regression automation test suite

• GUI airport functions

• Technology-agnostic test scripts - can be utilized across similar modules with minimal effort

• Inbuilt test cases and test cases - utilizing simulators and integrated with PSS host

• DevOps enabled automation framework

• Enables Functional Decomposition Matrix (FDM)- to automate scripts mapping facilitates and improve the effectiveness and efficiency of testing

 

MSAFE – SCRIPTING BUSINESS SCENARIOS AS REUSABLE MODULES

 

A highly modular and reusable, hybrid driven framework, MSAFE defines the method for that are repetitive among test scenarios. It provides maximum reusability, ease of maintenance, better test execution and enhanced reporting through the following features.

 

• Sets a platform to design, develop and execute automated test scripts

• Offers web-based thin client to intelligently manage test execution and real-time reporting

• Implements scenario-driven testing and enforces modularity and reusability of test scripts

• Enables error and exception handling

• Integrates with Jenkins and SVN to facilitate daily build testing

• Prebuilt utilities to enhance productivity like Reporting API and Notifications API

 

BUSINESS BENEFITS

Mphasis PSS Regression Test Repository acts as a solution accelerator to provide the following positive business outcomes:

 

Enhanced productivity and efficiency

• ~15% - 30% saving of effort using automation frameworks and data conditioning; ~30-45% on regression testing

 

High effectiveness of testing teams

• >97% defect acceptance ratio

 

High levels of quality

• >90% defect detection efficiency

• <~2% defect leakage to other environments