Arpita
Soni
Senior IEEE at IEEE
""Revolutionizing Testing and Reporting: The Impact of AI on Modern Software Quality Assurance""
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Arpita
Soni
Senior IEEE at IEEE
""Revolutionizing Testing and Reporting: The Impact of AI on Modern Software Quality Assurance""
Arpita
Soni
Senior IEEE at IEEE
Wed May 21 - 6:50 PM EDT/New York (See in local time)
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05/21/2025 6:50 PM
05/21/2025 07:10 PM
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""Revolutionizing Testing and Reporting: The Impact of AI on Modern Software Quality Assurance""
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#WTGC2025
""Revolutionizing Testing and Reporting: The Impact of AI on Modern Software Quality Assurance""
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""Revolutionizing Testing and Reporting: The Impact of AI on Modern Software Quality Assurance""
Arpita
Soni
Senior IEEE at IEEE
""Revolutionizing Testing and Reporting: The Impact of AI on Modern Software Quality Assurance""
Arpita
Soni
Senior IEEE at IEEE
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Session: "Revolutionizing Testing and Reporting: The Impact of AI on Modern Software Quality Assurance"
Artificial Intelligence (AI) has transformed software quality assurance by enhancing the efficiency and accuracy of testing procedures and reporting. AI-driven tools like Testim, Applitools, Functionize, and Generative AI models such as GitHub Copilot, Google Colab, and OpenAI Codex automate repetitive tasks in functional, performance, security, and regression testing, significantly reducing human error and time. Predictive analytics powered by AI anticipates potential defects, allowing teams to address issues proactively. Additionally, AI-enabled reporting tools streamline insights by identifying trends and producing detailed analytics, providing actionable feedback for continuous improvement. These advancements ensure robust, efficient testing processes, crucial for industries like healthcare and finance.Key Takeaways
- Will learn the impact of AI on testing and how it will help the testers
Bio
Arpita Soni is an accomplished professional in automation, AI, machine learning, and IT program management. She holds a Bachelor’s in Engineering , a Postgraduate Diploma in IT from Symbiosis, and a Program Management certification from E-Cornell. Throughout her career, she has contributed significant research on privacy-preserving machine learning, blockchain, and software engineering, with publications in journals like IEEE, SSRN , and the Journal of Electrical Systems.Her innovative work is demonstrated by in AI-driven solutions, including Automation and CRM chatbots. In her role she leads transformative projects in cloud, quality engineering, and agile development, driving business growth and revenue. She is a sought-after keynote speaker at industry conferences. Her thought leadership has been featured in outlets like the Wall Street Times, and her book Advanced Statistical Techniques for Data Mining and Predictive Modeling reflects her expertise.
