Industry executives and experts share their predictions for 2025. Read them in this 17th annual VMblog.com series exclusive.
By Chris Faraglia,
Solution Architect, TestRail
We are on the brink of a new year, and the software industry
is poised for disruption. Software testing and quality assurance (QA), once a
traditional gatekeeper, is evolving into a strategic partner-driving
compliance, security, and stability while ensuring product excellence. Let’s
delve into the key trends that will define the future of software testing and
quality practices in 2025.
1. AI
Adoption Will Reshape Testing Roles
AI is poised to transform QA testing in
2025 by speeding up processes like creating test cases and
identifying flaky tests, freeing up human
testers to focus on strategic problem-solving and complex challenges. AI
will handle the mundane tasks, which make up nearly 80% of the daily work,
and leave the final 20% to skilled professionals to provide human
oversight, insight, and creativity.
While AI will streamline test
case generation and accelerate iterations, human oversight remains crucial for
exploratory testing, user experience evaluations, and ethical decision-making.
As AI becomes more integrated into testing processes, QA professionals must
adapt by developing skills to manage, interpret, and validate AI-driven
outputs, ensuring reliability and accuracy.
2. The Intersection of Quality and Security
Expect product quality and security
to become inseparable priorities for organizations. Decision-makers are
evaluating tools not just for functionality, but also for how effectively they address security challenges.
Poorly integrated or low-quality tools amplify risks, especially with the
growing adoption of AI and automation. Escaped defects or security
vulnerabilities exposed in production environments
in these areas can cascade into major vulnerabilities, causing operational
and reputational damage.
To address these challenges,
businesses need solutions that deliver robust software testing capabilities and
strong security measures. This convergence is especially critical as companies
move toward more automated workflows, where escaped defects can have amplified
downstream effects. Both manual and automated testing practices must integrate
security protocols earlier in the development lifecycle, adopting a
“shift-left” strategy that embeds testing and security measures at
the design phase.
3. Dominate
the Market: The Power of Multi-Platform Development
Enterprises supporting development
across cloud, mobile, desktop, and other platforms will gain a competitive
edge in 2025. Businesses prefer vendors that provide comprehensive support
for diverse development needs, ensuring platform consistency and quality.
This capability simplifies workflows, reduces errors, and ensures a
seamless user experience, regardless of the platform. Software
development teams will need to expand their
expertise to accommodate the unique requirements of each environment,
adopting tools and methodologies that ensure reliability and performance
across a wide range of devices and configurations.
4. Faster Releases Demand Better Testing
The pressure to accelerate product
launches will intensify as businesses compete to bring innovations to
market. This creates a heightened risk of defects, making testing tools and processes more vital than
ever to ensure they don’t allow the test engineers to be their bottleneck. Product releases can only
happen at the pace of the testing and validation activities, but remember that the rush to the finish line is not
always the best approach. Speed must not come at the expense of quality,
security, and stability.
In 2025, organizations will adopt
continuous testing frameworks that integrate quality throughout the software
development lifecycle (SDLC). Collaborative efforts across product,
development, testing, and DevOps teams will become the norm, breaking down silos
that traditionally hinder efficiency. Organizations can identify and resolve
issues early by embedding testing at every stage, from initial design to
deployment, minimizing costly delays.
5. Integrated Collaboration Across Teams
The roles within organizations are
converging, driven partly by AI’s ability to enable less experienced
individuals to take on tasks previously out of reach. This convergence
saves costs and fosters innovation as teams collaborate more effectively
to address shared challenges.
Success in 2025 will be defined by
closer integration between security, quality, and DevOps teams. Software
testing professionals will work alongside developers, security experts, and
product managers to create cohesive strategies that address quality, security,
and operational goals.
6. AI and Regulatory Dynamics Will Shape
Strategies
As AI capabilities expand, regulatory
scrutiny is catching up. This is especially true in regions like Europe,
where companies are less inclined to adopt AI features due to increased regulatory scrutiny and security concerns. This has led to a growing
trend of “bring your own AI,” where companies are building their
own large language models (LLMs) or using open-source solutions.
In 2025, organizations operating in
regulated markets will need to invest heavily in testing and security measures
to ensure their AI-powered products meet rigorous standards. Development teams
with skilled test engineers will be crucial in navigating this, helping
businesses balance innovation with regulatory compliance.
Preparing for 2025
2025 presents a unique set of challenges for development teams. Increased
complexity, accelerated release cycles, and evolving security threats demand an
agile approach. By investing in cutting-edge tools, promoting collaboration,
and prioritizing quality and security, businesses guarantee they are
well-prepared for the future.
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ABOUT THE AUTHOR
Chris Faraglia is currently a Solution Architect and
testing advocate for TestRail. Chris
has 15+ years of enterprise software development, integration and testing
experience spanning domains of nuclear power generation and healthcare IT. His
specific areas of interests include but are not limited to test
management/quality assurance within regulated industries, test data management,
and automation integrations.
