Perforce ALM Features

Give users in-app method of reporting bugs and leaving general performance feedback. 14 reviewers of Perforce ALM have provided feedback on this feature.

Based on 14 Perforce ALM reviews. Give testers in-app method of reporting bugs and leaving general performance feedback.

Give team members method of reporting bugs and leaving comments on bug status. 13 reviewers of Perforce ALM have provided feedback on this feature.

Based on 13 Perforce ALM reviews. Provide reproducible, insightful info surrounding bug and crash scenarios.

As reported in 14 Perforce ALM reviews. Track history of bug status by application version, date, etc.

Store bug tracking data for an appropriate and useful amount of time. 14 reviewers of Perforce ALM have provided feedback on this feature.

Deliniate minimum requirements for a new product or service.

Consolidate all requirements information and progress to a central location.

Track each requirement over its lifetime, including creation, progress, and modifications.

Allows key stakeholders to relay requirements to product or service development teams and other interested parties.

Foster intra-company collaboration between teams working on product or service development.

Create, adjust, and test requirements automatically.

Provides a dashboard for reviewing and flagging software test results and tracking defects.

Ensures all application changes are tracked and can be rolled back if needed.

Provides tools to capture, organize, and track evolving project requirements throughout the development cycle.

Tracks metrics and analytics that provide insights into development velocity, code quality, and release cadence

Facilitates team collaboration and knowledge sharing.

Provides Agile boards, Gantt charts, or Kanban workflows to plan sprints, assign tasks, and monitor progress.

Capability to perform complex tasks without constant human input

Engages in human-like conversation for task delegation

Anticipates needs and offers suggestions without prompting

Improves performance based on feedback and experience

Engages in human-like conversation for task delegation

Anticipates needs and offers suggestions without prompting