QA Trends in 2024

Quality Assurance Trends in 2024
Quality Assurance Trends in 2024

QA is an ever-evolving field. So, QA trends in 2024 are plenty.  And the realization that Quality supersedes quantity has become evident recently thanks to the slew of new developments in the Quality Assurance world.

From automation testing to performance engineering and shift-left testing, 2024 brings a wealth of new trends and methodologies. In this blog, we’ll explore some of the most significant trends embraced by Qniverse. Let’s dive in!

QA Trends in 2024

1. Agile and DevOps

Agile testing is widely used in modern QA, with the entire software development lifecycle now frequently based on Agile methodologies. This has led to a significant adoption of Agile practices.

Additionally, DevOps has become the preferred platform for streamlining QA workflows in many organizations.

2. AI and Machine Learning

AI and Machine Learning (ML) have made substantial inroads into QA in 2024. Many organizations are implementing AI and ML for defect detection, though manual oversight is often needed for a balanced approach.

To incorporate AI in software testing:

  1. Define clear objectives and a roadmap for integration.
  2. Assess necessary skill sets for effective implementation.
  3. Choose the best resource model (in-house, outsourced, or hybrid) to maximize test coverage and expertise.

While AI and ML are becoming integral to QA, hands-on intervention is still essential to ensure streamlined processes.

3. Proactive Testing

Proactive testing represents a crucial mindset shift within QA. Instead of being reactive and testing only after development, QA teams now actively participate throughout the development lifecycle.

This approach allows potential issues to be identified early, reducing the risk of costly rework and delays.

4. Codeless Automation

With the rise of web development, the need for automation has increased. Codeless (or scriptless) automation allows QA teams to scale testing without extensive coding, letting developers and QA engineers run tests more efficiently.

By 2023, it’s projected that 40% of large enterprises will use AI-augmented automation to boost productivity.

5. Performance Engineering

The demand for high-quality software has never been higher. Achieving this requires focus on usability, cybersecurity, business value, and technology.

Performance engineering shifts the focus from traditional performance testing to a more comprehensive approach that identifies bugs and bottlenecks early.

In essence, performance engineering takes a proactive stance to ensure quality throughout the development process.

6. Shift-Left Testing

Shift-left testing emphasizes identifying and fixing bugs earlier in the Software Development Lifecycle (SDLC), improving quality and reducing costs.

Key strategies include:

  1. Demand Planning: Allocate resources by forecasting demand. Partnering with a Testing-as-a-Service (TaaS) provider can ensure coverage during peak times.
  2. Collaborative Testing: Encourage developers to participate in testing and vice versa, promoting better collaboration and actionable feedback.
  3. Continuous Feedback: Maintain strong feedback loops between DevOps and QA teams for adaptability and quick issue resolution.

7. Focus on Security Testing

Security testing is a critical trend in QA, especially with the rising frequency of cyber-attacks. According to McKinsey, these attacks could cost companies trillions of dollars annually.

In 2024, QA teams are prioritizing security from the beginning of the development process, proactively addressing potential vulnerabilities. Regular security updates are vital to protect against emerging threats and ensure software resilience.

Final Words

The QA field is evolving rapidly, and 2024 introduces trends like Agile and DevOps, AI and ML integration, proactive testing, codeless automation, performance engineering, and shift-left testing.

By adopting these trends, organizations can enhance QA processes, improve product quality, reduce costs, and deliver superior software experiences. Staying informed and adaptable to these trends is essential for QA teams to remain competitive and effective.

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