Published Release Notes

Unit testing support for more rule types

You can now create unit tests for the following additional rule types. You can also create assertions to validate activity status. The expanded rule types for unit testing enable developers to more thoroughly perform regression testing of their application, thereby improving application quality.

• Collection
• Declare expression
• Map value
• Report definition

For more information about unit testing rules, see Pega unit test cases.

Upgrade impact

With the four new rule types, unit test execution and unit test compliance metrics will change. Reports on automated unit testing of the customer application decrease due to the increased pool of supported rules.

What steps are required to update the application to be compatible with this change?

After a successful upgrade, create Pega unit test cases for the newly supported rules to see updated and accurate unit test metrics.

View application quality metrics by data type

You can now view application quality metrics by data type on the Application Quality landing page. The new Data Types tab displays metrics for data types grouped by data objects, which enables you to more quickly understand the overall coverage of the application's integrations and interfaces.

For more information about data type metrics, see Application Quality landing page.

Scenario tests are reusable

Existing scenario tests are now reusable in different business scenarios. Before Pega 8.3, you had to create a new test every time a user interface or process flow changed significantly. Now, scenario tests are editable to help you maintain the test stack more effectively.

For more information, see Updating scenario tests.

Support for the decisioning-enabled NLP text analyzer in IVAs and Email Bots

You can now use the new intelligent natural language processing (iNLP) text analyzer in Pega Intelligent Virtual Assistants™ (IVAs) and Pega Email Bots™. This advanced text analyzer is decisioning-enabled and empowers IVA or Email Bot for all conversational channels to provide smarter responses. The decisioning capability in the system integrates text analytics with strategies, prepositions, and interaction history, to provide the context for making better next-best-action decisions.

For more information, see Use the decisioning-enabled NLP text analyzer in IVAs and Email Bots, Defining advanced Facebook text analyzer configuration and Facebook channel behavior.

Upgrade impact

Existing channels remain with the current configuration, and their current functionality does not change. Channels created after the upgrade automatically use the new text analyzer.  

What steps are required to update the application to be compatible with this change?

The new text analyzer is enabled or disabled using a new interactive API (iAPI) selection, which is selected by default for new channels. You can disable the iAPI for new channels if you want to maintain current functionality. You can also enable it for existing channels if you want to move existing channels to the new functionality.

Improvements for automated scenario testing

Test automation authors can group related scenario tests into suites. The scenario test suites can be run manually from the Scenario Testing landing page as part of purpose-specific tests such as smoke tests, regression tests, and outcome-based tests. Additionally, automation authors or release managers who monitor tests for an application can disable or quarantine unstable scenario tests so that they do not run.

For more information about creating and managing test suites for scenario testing, see Creating test suites for scenario testing.

Support for multiple work queues in the Email Manager portal

Pega Email Bot™ now provides multiple work queues in the Email Manager portal. With this functionality, operators, such as customer service representatives, can now triage cases more efficiently by selecting different work queues. Operators have access to work queues only for the current Pega Platform™ application.

For more information, see Email Manager portal.

Automatic model training when mapping entities to case properties in Email Bot

You can now initiate automatic feedback to entity models in Pega Email Bot™, during manual mapping of email content to a case property.

To enable automatic feedback, you set the Work-Channel-Triage.pyIsRuntimeFeedback rule to true in Pega Platform™. By default this feature is disabled. Enabling this feature ensures that the email bot is more responsive by automatically copying detected entities, such as names, locations, dates, and ZIP codes, to case type properties of a case type.

For more information, see Email triage, Email channel NLP model and Enabling the NLP model training for the email channel.

Improved rich user interface controls in IVA for Web Chatbot

In Pega Intelligent Virtual Assistant™ (IVA) for Web Chatbot, you can use additional rich user interface controls, such as the time and date picker or a simple form, to help users accomplish tasks more quickly and to limit errors. IVA for Web Chat can now also display a welcome message in the chat window, for example, to inform the user about the person with whom they are chatting.

For more information, see Streamline conversations in IVA for Web Chatbot with rich user interface controls.

Upgrade impact

The new Ul controls for Web Chatbot are enabled by default upon upgrade. If you do not want the controls enabled, you must disable them.

Also, if you have changed the styles for the welcome message, you may need to make changes to the welcome message to incorporate the new areas in the bot conversation area (such as quick replies).

What steps are required to update the application to be compatible with this change?

Existing channels will behave as they did previously, so you should determine whether you want to use the new UI controls. If you want to use the new Ul controls, configure the new design-time options.

If you have changed the default styles for the welcome message, review the new settings to ensure that the welcome message is configured properly. 

Test coverage support for more rule types

Test coverage has been expanded to include the following rule types. Test coverage support for these rule types enables developers to more accurately measure the effectiveness of their tests.

• Collection
• Declare trigger
• Map value
• Navigation 
• Report definition
• Scorecard

For more information about test coverage, see Test coverage.

Upgrade impact

The new rule types may impact the test coverage metrics for your applications. Due to the increased number of supported rules, the reported test coverage percentage will decrease.

What steps are required to update the application to be compatible with this change?

Run your coverage reports after upgrading to see the latest metrics.

Ability to import and export Intelligent Virtual Assistant or Email Bot training data

You can now copy Pega Intelligent Virtual Assistant™ (IVA) or Pega Email Bot™ training data between Pega Platform™ application environments by performing an export and import action. Importing and exporting training data between Pega Platform application environments results in greater accuracy of entity detection. Entities are detected by the system in a chat conversation, including attachments, to help respond to the user correctly, and consist of proper nouns that fall into a commonly understood category such as a person, organization, or a ZIP code. The ability to copy training data also makes it easier to maintain IVA or Email Bot, and build its artificial intelligence.

For more information, see Copying training data to another environment and Copy training data and model to another IVA or Email Bot environment.