1. A P P L I C AT I O N L I F E C Y C L E
M A N A G E M E N T ( A L M ) T O O L S
A N D T E C H N O L O G I E S
JASPHER SAJULAN
2. • What is alm tools and
technology
• Overview of popular ALM
tools
TABLE OF
CONTENT
• Comparing open-source
and commercial ALM
tools.
• Integrating ALM tools into
existing workflows.
3. Application Lifecycle Management (ALM) and
technologies
Application Lifecycle Management (ALM) tools and
technologies are platforms and solutions used to
manage the end-to-end lifecycle of software
development, from initial planning to deployment
and maintenance. They ensure that teams can
collaborate efficiently, maintain traceability, and
deliver high-quality software products.
4. KEY ASPECTS OF
ALM TOOLS AND
TECHNOLOGIES
1.Planning and Requirement Management
⚬ Capturing and managing software requirements.
⚬ Facilitating team collaboration and goal
alignment.
2.Development
⚬ Code version control and collaboration (e.g., Git
integration).
⚬ Support for agile methodologies like Scrum and
Kanban.
3.Build and Integration
⚬ Automation of code builds and integration with
Continuous Integration/Continuous Deployment
(CI/CD) pipelines.
4.Testing
⚬ Automated and manual testing.
⚬ Defect tracking and test coverage reports.
5.Deployment
⚬ Streamlined release management.
⚬ Tools for continuous delivery and deployment.
6.Maintenance and Monitoring
⚬ Post-release monitoring.
⚬ Bug fixes and updates.
5. OVERVIEW OF
POPULAR
ALM TOOLS
Jira
• Developed by Atlassian.
• Features: Issue tracking, Agile project management
(Scrum, Kanban), Integration with CI/CD tools.
• Use Cases: Software development, IT service
management.
Azure DevOps
• Developed by Microsoft.
• Features: Version control with Git, Build and release
pipelines, Work item tracking.
• Use Cases: End-to-end development lifecycle, DevOps
workflows.
Rally (CA Agile Central)
• Developed by Broadcom.
• Features: Agile project management. Portfolio and
team-level planning, Customizable dashboards.
• Use Cases: Large-scale agile projects, portfolio
management.
IBM Engineering Lifecycle Management (ELM)
• Developed by IBM.
• Features: Requirements management, Test
management, Workflow automation.
• Use Cases: Systems engineering, compliance-
focused projects.
9. KEY CONSIDERATIONS
UNDERSTANDING
CURRENT
PROCESSES
TOOL
SELECTION
DATA MIGRATION
• Map out existing workflows.
• Identify bottlenecks and areas for
improvement.
• Choose tools that align with team
needs.
• Ensure compatibility with existing
systems.
• Plan for seamless data migration.
• Use APIs or integration plugins to
transfer data.
10. KEY CONSIDERATIONS
TRAINING AND
ADOPTION
AUTOMATION
AND
INTEGRATION
BENEFITS OF
INTEGRATION
• Provide training for team
members.
• Encourage gradual adoption to
minimize disruption.
• Integrate with CI/CD pipelines.
• Automate repetitive tasks like
deployments and testing.
• Improved collaboration and
communication.
• Enhanced traceability across the
software lifecycle.
• Faster delivery of high-quality
software.