Defect Management
The Defect Management phase focuses on identifying, recording, tracking, prioritizing, and resolving defects or issues discovered during testing. In this phase, the testing team documents any identified defects, assigns them unique identifiers, and communicates them to the development team for resolution.
Effective defect management is critical in ensuring that the software under development meets its quality targets and is free of significant issues before its release. This phase involves collaboration between various stakeholders, including testers, developers, project managers, and other team members, as they work together to understand the root cause of each defect, prioritize their resolution based on business impact, and track their progress toward resolution.
When a defect is identified, it should be reported through Provar Manager. The report should include clear descriptions of the symptoms, steps to reproduce the defect, and any relevant context or additional information to help the development team understand the issue and prioritize its resolution.
As the development team resolves each defect, they update the testing team regarding their progress and the expected resolution date. Once a defect is resolved, the testing team must retest the software to verify that the issue has been addressed and hasn’t introduced any new issues or unintended side effects.
Effective defect management results in a high-quality software product with fewer issues and bugs, ultimately leading to increased customer satisfaction, reduced time to market, and lower maintenance costs.
Defects can be raised on Test Execution or Test Step Execution records, depending on the preferred level of granularity.
They can be linked to Test Cases or Test Step records for traceability and reporting
purposes, and you can define their impact and priority and track their status.
Root Cause Analysis Report Generation
Provar Manager allows you to use AI to generate preliminary Root Cause Analysis reports for failed Salesforce Apex unit test executions. The report includes an introduction, background, description of the error, root cause analysis, recommendations, and a conclusion.
To use this feature, make sure you have saved your OpenAI API Key in Provar Manager’s Setup page (see the Setup section of this document).
To generate a report, go to a Defect record raised by Provar Manager off the back of a failed Salesforce Apex unit test execution. It is linked to a test execution and a test case representing the unit test.
Click the Generate RCA button on the top right and then Generate Root Cause Analysis in the pop-up window. It may take more than 10 seconds to generate the report.
Once the report is generated, you can review it and save it into the Defect record by clicking the Save button.
Test Cycle Closure
The Test Cycle Closure phase marks the end of the testing process, where the testing team reports on the overall test results and prepares documentation to support the release of a software application. In this phase, the testing team documents and communicates their findings from the various testing activities throughout the development lifecycle, including the number and types of defects identified, their impact on the software’s functionality, and any recommendations for improvement.
The test cycle closure report provides valuable information to stakeholders, such as project managers, developers, customers, and other team members, about the quality of the software under development and the testing process itself. This report includes an overview of the testing objectives, methodologies, and results, as well as details on any identified defects, their root causes, and the status of each defect at the time of release.
Additionally, during the test cycle closure phase, any documentation related to the testing process, such as test plans, test cases, and test scripts, is updated to maintain an accurate record of the testing activities for future reference. The testing team may also provide recommendations for improving the software quality and the testing process based on their experiences throughout the development lifecycle.
Effective test cycle closure ensures that all stakeholders are informed about the test results and the quality of the software being released. It provides valuable insights to customers or other users to support decision-making around its release. This phase plays a crucial role in maintaining the organization’s commitment to delivering high-quality software products and fostering continuous improvement within the development process.
For more information, check out this course on University of Provar.
- Provar Automation
- System Requirements
- Browser and Driver Recommendations
- Installing Provar Automation
- Updating Provar Automation
- Licensing Provar
- Granting Org Permissions to Provar Automation
- Optimizing Org and Connection Metadata Processing in Provar
- Using Provar Automation
- Understanding Provar’s Use of AI Service for Test Automation
- Provar Automation
- Creating a New Test Project
- Import Test Project from a File
- Import Test Project from a Remote Repository
- Import Test Project from Local Repository
- Commit a Local Test Project to Source Control
- API Testing
- Behavior-Driven Development
- Consolidating Multiple Test Execution Reports
- Creating Test Cases
- Custom Table Mapping
- Functions
- Debugging Tests
- Defining a Namespace Prefix on a Connection
- Defining Proxy Settings
- Environment Management
- Exporting Test Cases into a PDF
- Exporting Test Projects
- Japanese Language Support
- Override Auto-Retry for Test Step
- Customize Browser Driver Location
- Mapping and Executing the Lightning Article Editor in Provar
- Managing Test Steps
- Namespace Org Testing
- NitroX
- Provar Test Builder
- ProvarDX
- Refresh and Recompile
- Reintroduction of CLI License Check
- Reload Org Cache
- Reporting
- Running Tests
- Searching Provar with Find Usages
- Secrets Management and Encryption
- Setup and Teardown Test Cases
- Tags and Service Level Agreements (SLAs)
- Test Cycles
- Test Data Generation
- Test Plans
- Testing Browser Options
- Tooltip Testing
- Using the Test Palette
- Using Custom APIs
- Callable Tests
- Data-Driven Testing
- Page Objects
- Block Locator Strategies
- Introduction to XPaths
- Creating an XPath
- JavaScript Locator Support
- Label Locator Strategies
- Maintaining Page Objects
- Mapping Non-Salesforce fields
- Page Object Operations
- ProvarX™
- Refresh and Reselect Field Locators in Test Builder
- Using Java Method Annotations for Custom Objects
- Applications Testing
- Provar Manager
- How to Use Provar Manager
- Provar Manager Setup
- Provar Manager Integrations
- Release Management
- Test Management
- Test Operations
- Provar Manager and Provar Automation
- Setting Up a Connection to Provar Manager
- Object Mapping Between Automation and Manager
- How to Upload Test Plans, Test Plan Folders, Test Plan Instances, and Test Cases
- Provar Manager Filters
- Uploading Callable Test Cases in Provar Manager
- Uploading Test Steps in Provar Manager
- How to Know if a File in Automation is Linked in Test Manager
- Test Execution Reporting
- Metadata Coverage with Manager
- Provar Grid
- DevOps
- Introduction to Provar DevOps
- Introduction to Test Scheduling
- Apache Ant
- Configuration for Sending Emails via the Automation Command Line Interface
- Continuous Integration
- AutoRABIT Salesforce DevOps in Provar Test
- Azure DevOps
- Running a Provar CI Task in Azure DevOps Pipelines
- Configuring the Automation secrets password in Microsoft Azure Pipelines
- Parallel Execution in Microsoft Azure Pipelines using Multiple build.xml Files
- Parallel Execution in Microsoft Azure Pipelines using Targets
- Parallel execution in Microsoft Azure Pipelines using Test Plans
- Bitbucket Pipelines
- CircleCI
- Copado
- Docker
- Flosum
- Gearset
- GitHub Actions
- Integrating GitHub Actions CI to Run Automation CI Task
- Remote Trigger in GitHub Actions
- Parameterization using Environment Variables in GitHub Actions
- Parallel Execution in GitHub Actions using Multiple build.xml Files
- Parallel Execution in GitHub Actions using Targets
- Parallel Execution in GitHub Actions using Test Plan
- Parallel Execution in GitHub Actions using Job Matrix
- GitLab Continuous Integration
- Travis CI
- Jenkins
- Execution Environment Security Configuration
- Provar Jenkins Plugin
- Parallel Execution
- Running Provar on Linux
- Reporting
- Salesforce DX
- Git
- Version Control
- Salesforce Testing
- Recommended Practices
- Salesforce Connection Best Practices
- Improve Your Metadata Performance
- Java 21 Upgrade
- Testing Best Practices
- Automation Planning
- Supported Testing Phases
- Provar Naming Standards
- Test Case Design
- Create records via API
- Avoid using static values
- Abort Unused Test Sessions/Runs
- Avoid Metadata performance issues
- Increase auto-retry waits for steps using a global variable
- Create different page objects for different pages
- The Best Ways to Change Callable Test Case Locations
- Working with the .testProject file and .secrets file
- Best practices for the .provarCaches folder
- Best practices for .pageObject files
- Troubleshooting
- How to Use Keytool Command for Importing Certificates
- Installing Provar After Upgrading to macOS Catalina
- Browsers
- Configurations and Permissions
- Connections
- DevOps
- Error Messages
- Provar Manager 3.0 Install Error Resolution
- Provar Manager Test Case Upload Resolution
- Administrator has Blocked Access to Client
- JavascriptException: Javascript Error
- macOS Big Sur Upgrade
- Resolving Failed to Create ChromeDriver Error
- Resolving Jenkins License Missing Error
- Resolving Metadata Timeout Errors
- Test Execution Fails – Firefox Not Installed
- Selenium 4 Upgrade
- Licensing, Installation and Firewalls
- Memory
- Test Builder and Test Cases
- Release Notes