Pega is an industry-leading ‘low-code’ platform that helps businesses to unify their processes and customer journeys from end to end. Pega delivers innovative software that crushes business complexity. PEGA is also abbreviated as Programs in Extra-Galactic Astronomy. Pega enables creating and managing web-based applications with less effort. PEGA is becoming popular because of that, though most conventional programmers would disagree. A PEGA developer is a skilled programmer who is responsible for designing and deploying enterprise-level applications of PEGA PRPC. Pega has paved the way for leading case management for encompassing all the business use cases. In this article let us learn about Pega Testing in detail.
Pega is a java-based business process management tool which is used to build enterprise applications. PEGA is a widely popular BPM tool developed on Java concepts. Main advantage of PEGA is that we don't have to build the system from scratch like any conventional programming. Pega enables creating and managing web-based applications with less effort. Among all the BPM tools in the market, Pega is the leading and No.1 tool according to market standards far beyond its competitors. All the components involved in a web-based application are in-built in pega like the integration with Oracle Databases and other external systems.
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Pega consists of various features such as Customization, Collaboration, Process Management, Application Design, Data Control and Publishing.
It involves document generation, process design, process repository & no-code app development.
It involves the permissions for sharing, data unification & accessibility.
It involves the process analysis.
Application design involves the UI code extending, programming code extending & customized branding.
It involves data synchronization.
It involves the application deployment, platform compatibility & lifecycle management.
Pega testing is a different practice from traditional manual testing software. Pega includes an in-built feature of automation testing AUT-Automated Unit Testing or PEGA Automated Unit Test. Pega is a PRPC developed, licensed and marketed by pegasystems. Using java and OOP, Pega is designed and basically helps to create interfaces for business analytics, systems analysts and developers. Pega testing is the research carried out on applications of pega. It is the ideal tool for unit testing efficiency. Users will be able to test the Decision Rules, Automated Regression Testing, integrations and flow rules by adding the pega unit testing function to the Pega instrument.
The Testing Management Framework (TMF), Manual Testing and Regressive Testing skills are mandatory for performing PEGA Testing. PEGA is the perfect tool for performing unit testing. Pega testing is developed in an agile model. Pega is a software development tool for CRM and BPM applications. Peaga is a quick spreading tool which made millions of users satisfied.
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The automation test suite within PEGA testing comprises various things. It includes API-based Unit Testing, UI-based scenario testing. UI-based testing involves scenario testing and test ID. API-based functional testing involves PEGA API, REST API, and SOAP APIs.
Pega Unit Testing is a key stage of a continuous development and continuous integration model of application development. With continuous and thorough testing, issues are identified and fixed prior to releasing an application, which improves the application quality. Automated unit testing involves creating unit test cases for tests that are run against individual rules, grouping multiple test cases into test sites, running the tests and viewing the results. When the tests run, the results are compared to the expected results that are defined in assertions. The following rules can be tested using the latest pega version. They are essential to improve the overall quality of the application.
Pega Unit Test Results consist of the following aspects.
You can create an assertion for the expected run time of the rule. The expected run-time assertion is less than or equal to an amount of time that you specify, in seconds.
You can configure assertions to compare the number of items returned in a page list, page group, value list or value group on the rule to the result that you expect to see on the clipboard.
You can configure property assertions to validate that the actual values of properties returned by a rule are the expected values. You can also assert if a property has an error and, if it does, what the message is so that you can validate that the message is correct.
You can create list assertions for page lists on a rule to determine if either the expected result is anywhere in the list of results returned by the rule. Even if the order of results changes, the test will continue the work.
Some rules, such as activities and data transforms, can create or remove pages from the system. You can create page assertions to determine whether or not a page exists after a unit test case runs. You can also assert if a property has an error and, if it does, what the message is so that you can validate that the message is correct.
After you create a unit test case for a decision table or decision tree, the system generates a decision result assertion. This assertion displays the input values for testing the rule, and the result that is generated by the rule.
For flows and case types, you can use the assigned assertion to verify that an assignment is routed to the appropriate work queue or operator.
You can configure a case status assertion on a flow or case type to verify the status of the case.
For flows and case types, you can verify that the flow or case type has an attachment of type file or note (attached using the attach content shape) or email (attached using the send email shape) attached.
For flows and case types, you can verify the number of cases that were created when the case type or flow was run.
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Test a data page to ensure that you get the expected results by using the run rule feature before testing it in the context of the application that you are developing. Additionally, you can convert the test run into a Pega unit test case for reuse.
Unit test decision rules consist of tables, when rules, decision trees, map values, collections and declare expressions.
You can test a decision table, individually, before testing it in the context of the application that you are developing.
You can use the run rule feature to test a decision tree individually before testing it in the context of the application that you are developing.
You can test a when rule individually, before testing it in the context of the application that you are developing.
you can test a map value individually, before testing it in the context of the application that you are developing.
You can test a collection individually, before testing it in the context of the application that you are developing.
You can test a declare expression individually, before testing it in the context of the application that you are developing.
To create a unit test suite, add test cases and test suites to the suite and then modify the order in which you want them to run. You can also modify the context in which to save the scenario test suite, such as the development branch or the ruleset. Test suites consist of the following types.
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Pega Scenario testing allows users to create UI-based, end-to-end scenarios to test your application. The operator who has access to the runtime toolbar captures scenario tests in the context of the application portal. Use the automation recorder on the runtime toolbar to create or modify a scenario test. Pega Scenario Testing consists of the following.
Scenario tests are run against a user interface to verify that the end-to-end scenarios are functioning correctly. The UI-based scenario testing tool allows developers to focus on creating functional and useful tests, rather than writing complex code, for single page applications (SPAs).
Scenario Test case is a set of actions executed to verify a particular feature or functionality of your software application. Test case contains test steps, test data, precondition, post condition developed for specific test scenario to verify any requirement. The test case includes specific variables or conditions, using which a testing engineer can compare expected and actual results to determine whether a software product is functioning as per the requirements of the customer.
Running a test scenario on a server is a quick way to validate that the events and entities in your solution are working as you expect. You can run any number of test scenarios on a server and easily modify and run any test scenario again if necessary.
Create an automated test for the submit request process to ensure that the user interface and end-to-end process flow function correctly. The following steps are involved in the creation of the Scenario test case.
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In this blog we have discussed about the Pega testing & Pega testing concepts. Pega Testing is away from conventional practices of testing & is a different practice from traditional manual testing software. PEGA Testing refers to testing executed on PEGA apps. Pega Testing is the research carried out on applications of pega and it is the ideal tool for unit testing efficiency. Finally, we can say that Pega Testing is very useful for all the users.
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