Artificial Intelligence in Continuous Integration Testing: Current State and Future Trends

Artificial Intelligence (AI) in software testing strives to make the testing process smarter, faster, and more efficient. Employing AI techniques in software testing can help us to reduce some time-consuming manual testing processes, such as automated test script generation and test optimization. However, as AI continues to permeate software testing, it is becoming more and more challenging to validate the system’s functionality, safety, security, performance, availability, and resilience. Therefore, AI needs testing. This talk provides an in-depth overview of the past, present, and future of AI in software testing, where we can learn how our future industry is headed by understanding AI’s past.

• Artificial Intelligence, Software Testing, Machine Learning, Test Efficiency

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Sahar Tahvili – Operations Team Leader | Ericsson

Sahar Tahvili is an Operations Team Leader at Ericsson and also a Researcher at the software testing laboratory at Mälardalen University. Sahar holds a Ph.D.in Software Engineering from Mälardalen University since 2018. Her doctoral thesis entitled ” Multi-Criteria Optimization of System Integration Testing” is named one of the best new Software Integration Testing books by BookAuthority. Sahar’s research focuses on artificial intelligence (AI), advanced methods for testing complex software-intensive systems and designing decision support systems (DSS). Previously she worked as a senior researcher at Research Institutes of Sweden (RISE) with close industrial research collaboration with Bombardier transportation in Sweden.