Stop Unseen Code Changes from Putting Releases at Risk

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—cutting testing time and ensuring confident releases.

Data-driven functional test strategy

Define an effective, data-driven test strategy that speeds up daily workflows and makes testing easier for less-experienced testers.

Predictive test selection and prioritization

Run a targeted subset of your test suite while maintaining high failure-detection confidence, cutting execution time by as much as 75%.

 

Release risk index

Quickly assess the criticality of the releaseDecide with confidence how much testing time and effort to invest.

 

For developers

Focuses on impact on code. Provides early feedback and avoids annoying debugging.

For testers

Highligh impact at functional level and helps them answer:"What scenery should I test?"

For release managers

Aggregate data and gives a 360 view over what could threaten the success of the release.

How it works

Connect your development, ALM and testing tools;

Arcan will integrate all your data into an always-up-to-date knowledge base;

Just before you release, Arcan analyzes new changes and discovers hidden impacts.

AI-Driven Quality Assurance: Innovate Your Testing Strategy

60%

of the test cycle cost cut.

99%

saved time during functional impact analysis.


Built on your data

Arcan models learns from your real code changes and do not reuse them for other customers.

Security by design

Arcan IA does not parse code and does not store code anywhere. Only metadata is used to train the models.

FAQ

Arcan is offered as an annual subscription priced according to the number of Git repositories you include in the analysis. The subscription covers maintenance updates and the new functionality planned on our product roadmap. Connect with our team for further information.

Arcan trains a machine learning model on real code changes. When you introduce a new change, the model identifies similar past changes and highlights the code that was previously affected—indicating what is most likely impacted now. This includes the specific code components impacted as well as the associated functional areas—such as features and tests—that may also be affected.

Arcan’s connector framework lets you plug smoothly into your delivery ecosystem. It supports major Git repository providers (GitHub, GitLab, Bitbucket) as well as issue-tracking and ALM platforms such as Jira, Redmine, and OpenText.

Arcan delivers flexibility without compromising security. The Miner component—responsible for collecting data from your delivery tools—always runs on-premise to ensure full control and maximum security. The main platform runs as a managed cloud service. For teams with stricter requirements, Arcan also supports private-cloud hosting or a fully on-premise deployment—giving you complete architectural freedom. Connect with our team and we’ll help you choose the ideal configuration for your organization.

Yes. Contact our team to get your trial.