Quality engineering has always played a pivotal role in product development, and it continues to be important and relevant. However, in recent times, it is receiving renewed strategic attention. In a connected world, a single defect can trigger operational disruption, regulatory exposure, financial loss, and long-term brand damage. Enterprises that underinvest in quality pay a far higher price in remediation, recall, downtime, and lose customer trust. While testing tools, automation platforms, AI capabilities, and validation approaches have evolved significantly over the past few years, the core fundamentals of quality engineering have not changed.
Quality engineering is at the forefront of driving faster time-to-market, resilience, and business value across the entire product development lifecycle. Key trends shaping this evolving landscape are:
Quality cannot operate in isolation; it must be embedded across the entire product engineering journey. The right operational and organizational structure is important for effectively integrating quality engineering across the entire product development lifecycle.
This eBook provides a structured view of modern quality engineering. The first section talks about emerging trends and new age testing methodologies in quality engineering. The next section focuses on key quality areas – AI-driven test intelligence, IoT and product quality assurance, QE automation, and cybersecurity. It also addresses key CXO concerns and presents leadership viewpoints on positioning quality as a long-term competitive advantage.
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