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Building an Efficient Release Management Process

Split

A streamlined release management process is imperative for mitigating deployment risks and accelerating software delivery. All too often, releases turn into stressful events, fraught with last-minute surprises that disrupt business processes. What is the Release Management Process Flow?

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A Deep Dive into the Software Development Life Cycle (SDLC)

The Product Coalition

It’s also supports flexible methods that can be easily applied to your project, and it can support the management of expenses, overall costs of production and risks. These are planning, analysis, design, development, testing, implementation, and maintenance. Unit Testing Validate individual components or units of code for correctness.

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Five Steps to Create a Holistic Mobile Customer Feedback Solution

Alchemer Mobile

Apptimize , an Airship Company, helps brands rapidly iterate to make amazing user experiences across all their digital channels through A/B Testing and Feature Release Management with a mobile-first lens. With the data in one place, you can look for trends and root causes behind your customer feedback. .

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RIP Release Night

Split

In the old days, companies didn’t have a choice but to gather all their new code and ritualistically release it on one specific day. Release night, in companies that practice waterfall processes, you were quite prominent. You caused us lots of stress, release night. Now, things are different.

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Automating Trunk-Based Development With CI/CD

Split

Manual testing and validation can be laborious and prone to mistakes. It’s an automation technique that gives developers a consistent and efficient way to integrate code changes, carry out automated tests, and release software to production. Trunk-based development has grown in favor in recent years.

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AI Product Management 101: How to Leverage Artificial Intelligence Successfully?

Userpilot

AI tools like Tobii and Affectiva help teams with usability testing by tracking user eye movements and interpreting their emotions. Trained AI models can even simulate user behavior for testing. AI tools can automate the creation of user personas. Product management process. Impressive, right?