Arcan Impact Analysis
If I change this part of the software, what else could be affected?
The impact of change
When developers modify software, the ripple effects of that change are often uncertain. As a result, testers struggle to define an effective testing strategy, and release managers see an increase in the risk of incidents.
The lack of visibility into change consequences leads to:
- Increased risk of defects;
- Higher maintenance costs;
- Longer development cycles;
- Difficulty ensuring traceability in complex systems.
Meet Arcan: the data-driven tool for impact analysis
Arcan Impact Analysis helps DevOps and QA Managers predict the effects of new code changes using AI. It identifies impacted features, recommends targeted regression tests, and reduces bug risk—accelerating safe, confident releases.
Annual license, based on the number of analysis – On-premise and cloud deployment – Programming language agnostic
Types of impact
Trace dependencies between source code files.
Show which requirements and features are influenced by a change.
Identify tests that need updating and executing.
AI-Driven Quality Assurance: Innovate Your Testing Strategy
60%
of the test cycle cost cut.
99%
saved time during functional impact analysis.
Non regression test selection
Arcan IA indicates the tests to be performed to minimize the risk of bugs.
AI-generated test strategy
Arcan IA indicates the functional areas impacted by the release. Arcan's output serves as input for generative AI, which creates new ad hoc tests.
AI-generated documentation
Arcan IA indicates what the release is changing in the code. Arcan's output serves as input for generative AI, which updates the documentation.
Release risk prediction
Arcan IA calculates an index that correlates impact analysis, historical software defects, and business impact.