BIO

Alexander is the agile testing lead for Sweden-based King/Midasplayer AB, developer of the popular mobile game Candy Crush Saga, Alexander Andelkovic has worked on multiple complex test projects ranging from using session-based test management for quality assuring MED-Tech devices for life critical systems to establishing a world class approval process for Spotify apps used by Fortune 500 companies. Now he teams with developers in testing big data, business analytics, and game level regression testing using AI. Alex performs both system testing and exploratory testing with a focus on assisting teams with high-quality deliveries.

Talk

Candy Crush QA AI Saga

Candy Crush Saga is one of the biggest mobile games today that has been around for over 5 years. It is increasingly a challenge to test a game that has technical debt combined with new features being added for millions of players. Alexander Andelkovic shows you how King is training artificial intelligence (AI) programs (bots) to test its games by mimicking human players. Join Alexander as he discusses how King is taking testing to the next level by using machine learning to train bots to test and evaluate game feature in an unsupervised scalable way. He discusses ways to extend and use AI bots to test parts of code that normally is a challenge to tackle as human tester. Alexander explains how this AI approach can be generalized to test other applications. Learn how AI can help you with testing that’s getting very difficult to master with traditional testing techniques.