In the modern software development lifecycle, testing plays a critical role in ensuring product quality and reliability. However, with the growth of complex systems, testing processes are becoming increasingly laborious and intricate. This is where Artificial Intelligence (AI) steps in, offering innovative solutions for test automation and optimization, enabling development teams to improve efficiency and reduce time-to-market.
Illustrative scenario figures
20-30%Reduction in testing time using AI
40-50%Improvement in defect detection
15-25%Savings in testing costs
AI-powered testing not only enhances automation but also enables development teams to release high-quality products faster and with greater accuracy.
How AI Testing Saves Your Resources?
~200Hours per month: AI's automatic generation and adaptation of test cases, saving a 10-person team 5 hours per week.
~7,500 ₾Potential savings per month: Early detection of errors through AI, reducing post-release bug fixing costs. (Assuming fixing one critical bug after release costs 2,500 ₾, and AI catches 3 such bugs per month).
~10 daysReduced Time-to-Market: Accelerating the testing cycle by 20% with AI, if the full testing cycle is 50 days.
These figures are based on average scenarios where AI is integrated into a significant part of the testing cycle. Hourly savings are calculated for a 10-person team saving 5 hours per week using AI. Financial savings on bug fixing are based on the assumption that fixing one critical bug after product release costs an average of 2500 ₾, and AI ensures early detection of an average of 3 such bugs per month. Time-to-Market reduction is based on a 50-day testing cycle and a 20% acceleration.
Learn More About AI-Powered Testing
NovaSoft is one of the first Georgian companies to transform AI from a buzzword into a working reality – evidenced by the systems it has built. Contact NovaSoft to explore how we can help you optimize your software testing processes using artificial intelligence.
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