Skip to main content
7-Trends-Ensuring-Software-Quality-in-the-Modern-Age
Jun 25, 2024

7 Trends Ensuring Software Quality in the Modern Age

Software testing is more than just endless test cycles. It’s about ensuring top-notch quality for your users, boosting software performance, and accelerating project delivery. 

In every industry, software quality is key to success, especially among the generations of digital natives. Businesses must deliver products and services with peak efficiency and precision. 

Identifying a robust testing strategy early in the development cycle is crucial. Detecting and resolving defects early saves costs, as the expense of fixing bugs escalates later in the development process, according to NIST

Another study reported that 71% of users abandon apps within the first 90 days of usage. High-quality software is imperative, directly impacting business outcomes. But does quality merely mean fewer bugs and glitches – or is there more to that? 

Let’s dive deeper into the world of software quality assurance and its impact on user experience. 

What Defines Software Quality? 

The debate on what constitutes software quality has been ongoing for years. Rather than simply chasing this definition, we should refocus on the follow-up questions that tie into the quality of a software platform. Each project is unique, so the metrics or queries regarding the product’s state will vary. Nevertheless, these elements collectively build confidence in the product and its processes, ensuring the delivery of high-quality software. 

From a confidence standpoint, it’s easy to relate this to stakeholders’ perspectives and their functional requirements. For example: 

  • How quickly does our pipeline process an order from payment to the warehouse? 
  • How challenging is it for a new user to register on our platform? 
  • How frequently does our site experience downtime? Is it reliable? 
  • How often does our database get overwhelmed with queries? 

The questions are endless, each one aiming to measure the level of confidence in the software. 

A well-developed system with an effective implementation process can address these questions efficiently. While the specifics might differ depending on the stakeholder, the underlying theme remains consistent – the pursuit of quality. 

7 of the Most Important Trends to Ensure Software Quality 

Ensuring top-notch software quality requires adopting effective strategies. Here are seven essential trends that can significantly enhance software quality. 

1. Go for Test-Driven Development (TDD): Test First, Not Last 

Every technical lead dreams of quality, maintainability, and minimal bugs in their codebase. Test-driven development (TDD) provides a robust solution to achieve these goals. 

TDD is built around automated testing: a green test indicates success, while a red test signals a problem. This approach begins with writing tests before actual coding, focusing on scenarios where the code might fail. Developers favor TDD for its ability to: 

  • Predict potential failures 
  • Integrate quality into the code naturally 
  • Lower overall maintenance costs 
  • Ensure compliance with test requirements and standards 
  • Support code refactoring 
  • Enhance documentation 
  • Reduce bugs over time 

While TDD might extend the development cycle, it proves invaluable for long-term projects, ensuring maintainable code as the application evolves. Project managers may need to negotiate with stakeholders to highlight the long-term benefits of embedding quality from the outset, thus minimizing future failures. 

2. Automate Regression Testing for Efficiency and Precision 

Regression testing is a prime candidate for automation, especially given its repetitive nature. Every code change, irrespective of its significance, necessitates thorough regression testing to ensure the integrity of the software. 

Unfortunately, many teams still conduct regression testing manually. This process involves running both new and existing test suites to verify that recent changes haven’t adversely affected the existing functionality. Manual regression testing often leads to time constraints, as teams spend a significant portion of their time re-testing existing features. This leaves less time for essential tasks that require human intervention, such as exploratory testing to uncover edge cases. 

Automating regression testing offers a practical solution. Automated workflows allow teams to execute necessary tests efficiently without rewriting each test case from scratch. These automated test suites can be scheduled to run overnight, providing immediate feedback and identifying issues that need to be addressed the next morning. 

Moreover, ensuring application compatibility across different browsers, mobile devices, and operating systems becomes much simpler with automation. Most automated testing tools come with the capability to select multiple environments simultaneously, reducing the complexity and time required for comprehensive testing. 

By leveraging automated regression testing, teams can maintain high software quality, ensure timely releases, and focus their manual testing efforts where they are most needed. 

Related Article

How Automation Streamlines QA Team 

3. Cost-Effective Cloud Environments for Superior Software Quality Management 

Ensuring comprehensive testing often involves using multiple physical machines, especially when testing across different operating systems like macOS and Windows. Each version requires separate hardware, which can be costly. 

Let’s take a page from Spotify’s DevOps playbook. Their engineering culture thrives on innovation and rapid experimentation to enhance user experience. For them, reducing build times is crucial to stay ahead of competitors and leverage the latest tech advancements swiftly. 

Tech giants like Apple and Google frequently release new devices, and for software projects, this means ensuring compatibility with the latest hardware promptly. Purchasing every new device can be financially taxing. 

Cloud testing environments offer a solution with a subscription model, providing access to a variety of machines, including the newest releases. Teams simply wait for the cloud service provider to make these environments available and can then commence testing immediately. 

This approach is particularly beneficial for early-stage businesses where first impressions and user trust are pivotal. Cloud environments offer a budget-friendly solution to achieve thorough testing. 

Security is another critical aspect. Industries like finance, government, and healthcare must safeguard personal information and adhere to regulations such as HIPAA and GDPR. A dedicated private cloud for testing can ensure compliance with these standards. 

Cloud technologies transform various browsers, devices, and OS configurations into reusable testing environments. Key benefits of cloud testing include: 

  • Multi-tenant and single-tenant deployment options 
  • Independent data centers ensuring data residency 
  • Dynamic scaling to manage varying workloads 
  • Backup and restoration capabilities for disaster recovery 
  • No maintenance overhead for deployment and infrastructure upgrades 
  • Quick setup with pre-configured cloud virtual machines 
  • Enterprise-level security with custom SLAs to meet business and sector-specific security needs 
Technology Wave abstract background,blue abstract background, be

Innovation in your Inbox

Subscribe to receive insights like these directly to your inbox every month

Continue Reading This Article

down arrow

4. Implement Low-Code Solutions Where They Make Sense 

Low-code/no-code testing solutions aren’t here to render coding jobs obsolete. 

Typically, low-code platforms are designed for technical users, including those in quality engineering. These tools shine in environments with a blend of testing and programming expertise. It’s rare for a team to be comprised entirely of senior members. Instead, new team members often learn from the more experienced ones. 

Manual testers or newcomers to automation and Agile processes need time to learn. Usually, experienced developers or automated quality engineers create keywords, test cases, and profiles. These resources are then shared with the rest of the team, enabling everyone to gradually build tests and understand the codebase better. 

For developers, low-code platforms mean increased productivity with less manual coding. 

Picture a scenario where you don’t need to rewrite test code for every release or feature update. Low-code and codeless platforms allow developers to focus on maintaining test suites and custom code for complex cases. When new tests are needed, the reusability of existing artifacts significantly boosts productivity. 

Related Article

Low Code Vs. Cross-Platform Vs. Native App Development

Cross Vs Native APP

5. Automated Testing (CI/CD and the Entire Pyramid) 

During the development of any system or application, there’s a constant risk that previously delivered features might stop working. To mitigate this, integrating automated testing tools into your pipeline is crucial. Automated tests should be part of your development process to catch these issues early. Given the vast array of automated tests available, your project needs a well-designed approach that aligns with the test automation pyramid. 

This strategy will significantly cut down on the manual effort of repeatedly reviewing the entire system. It minimizes the time spent on such tasks, allowing for the incorporation of test-driven development. Most importantly, it provides a quick snapshot of your development’s current state and highlights areas needing improvement. 

6. Emphasis on Data Quality 

As organizations worldwide adopt data-driven strategies, the importance of data quality is set to surge by the end of this year. High-quality data is a valuable asset, crucial for informed decision-making, operational efficiency, and customer satisfaction. 

As a result, data quality checks are expected to become a routine part of the Quality Assurance (QA) process. 

Data quality refers to the condition of a collection of qualitative or quantitative variables and includes several key aspects: 

  • Accuracy 
  • Completeness 
  • Reliability 
  • Relevance 
  • Timeliness 

Poor data quality can lead to inaccurate analytics, ineffective business strategies, and potential compliance issues. 

In QA, the focus on data quality means teams will not only test software applications for functionality, performance, and security but also validate the data these applications process. Ensuring data is accurately collected, stored, processed, and retrieved is essential. 

Big data analytics services play a pivotal role in this process. They enable businesses to consolidate data from various sources, regardless of size, complexity, or structure, into a comprehensive view. This consolidation facilitates better data quality checks and enhances analytics. 

7. Leveraging Machine Learning and AI 

It’s impossible to discuss modern development without mentioning Artificial Intelligence. When it comes to testing projects that incorporate machine learning, there are three key fundamentals to keep in mind: 

  • Error Analysis: Identifying and understanding the types and sources of errors within the AI models. 
  • Model Validation: Ensuring the machine learning model performs accurately and reliably across different scenarios. 
  • Label Reviews: Assessing and improving the quality of data labels used in the ML data preparation process. 

Ultimately, the goal is to enhance user experience, which aligns perfectly with the role of quality engineers. By understanding the basics of ML concepts, QA teams can lead efforts in maintaining high standards of quality and developing effective testing practices for ML-driven products. This integration not only boosts the quality of the software but also ensures a smoother user experience. 

Wrapping Up 

As startups aim to deliver secure and reliable products, the role of software quality assurance remains critical. 

By staying updated with the latest trends and fully leveraging quality assurance tools, startups can protect their data assets, meet customer demands, and exceed expectations—both now and in the future. 

Looking to elevate your startup? TechBlocks offers top-notch quality engineering and testing services, providing the expertise and resources needed to create outstanding products.  

Background Image

Reach out to us today and join the future of technology! 

About the Author

Mukesh Mishra

Mukesh Mishra is an accomplished technology professional with over 15 years of experience in project delivery and software development. He joined TechBlocks as a Team Lead in 2013 and has grown through the ranks to serve as Director of Development in the current capacity.

As the Director of Development at TechBlocks, Mukesh oversees the successful delivery of complex software projects for clients across various industries, including Healthcare, Technology, Automotive, Logistics, and Wearable Devices. His expertise in Agile methodologies, team management, and client communication has led to numerous successful project implementations and satisfied clients.

Before joining TechBlocks, Mukesh worked at several other prominent technology companies, where he honed his skills in software development, project management, and software consultancy. He holds a Master's in Computer Applications from the Medicaps Institute of Technology & Management (MITM) in Indore, India.

Mukesh Mishra