How Test Build Delays Impact Mid-Sized Companies
6 mins read

How Test Build Delays Impact Mid-Sized Companies

Asad Khan is the founder & CEO of LambdaTest, an AI-powered unified enterprise test execution cloud platform.


In this fast-paced era of software development, speed is the key! Shipping your software in time and ensuring its quality is a challenging task. Testing processes and management need to be executed efficiently if projects are to be successful. Statistics show, especially at the enterprise level, that testing is the primary source of delivery delays, and testing costs consume an average of 23%-35% of the overall IT spending. The average test cycle time is 23 days, which is very slow for today’s fast-paced development cycles. These lengthy test cycles in turn slow down development.

However, there are some innovative solutions, such as parallelization and smarter tools, that can deal with this challenge. Parallelization enables enterprises to run tests in parallel, utilizing multiple virtual machines to accelerate the test execution, thereby making the development process faster.

Impact On Project Timelines And Costs

Longer test build durations have an enormous effect on project budgets and timelines. Schedules regarding software delivery are affected by these delays, which aggravate stakeholders while decreasing competitiveness. Financial resources are drained every minute spent anticipating test results, from infrastructure expenses to developer salaries. Budgets are further stretched by delayed release opportunities. For an organization to be efficient, productive and competitive, this challenge must be tackled; consequently, it calls for proactive measures and creative solutions.

The scope of the task at hand is clearly shown by the data. For big companies, the test build process could require a long time because they often have complicated systems and massive code bases. A LambdaTest survey revealed that 28% of the firms take longer than 60 minutes to complete their test builds. Comparably, mid-sized companies experience considerable difficulties even though they may be functioning on a smaller scale, as 26% of them spend more than an hour on this task. These statistics highlight how widespread the problem is, spanning across the boundaries of organizations and affecting companies of all shapes and sizes.

Understanding Parallelization

When test builds run in parallel, the larger and more complex tasks are divided into smaller and manageable, concurrently running tasks, making effective use of multiple processing resources and accelerating the test execution process. This approach offers quicker time to market and ensures reliable software delivery by making the best use of the available resources. Big software development companies rely on parallelization techniques to increase the effectiveness of their test-build process. By distributing test execution across multiple machines, businesses may cut build times from hours to minutes, resulting in faster feedback loops and enhanced development productivity.

Similarly, open-source projects use parallelization to get around issues with scaling their testing infrastructure. The projects provide substantial improvements in build performance and scalability by parallelizing test execution across distributed environments. This allows for the smooth integration of new features and innovations.

The Role Of Smarter Tooling In Test Build Optimization

Efficiency and speed are always longed for in companies. A beacon of hope shows up in the form of smart tools, which provide cutting-edge capabilities intended to optimize test build processes and reduce test execution time. It is time for companies to explore smarter tooling in more detail, particularly its features, advantages and function to maximize test build efficiency.

Additional capabilities meant to enhance test-build processes’ efficiency and efficacy are offered in smart tools. Features such as smart wait and test orchestration stand out as essential aspects to achieve faster test execution.

Intelligent wait mechanisms, commonly referred to as smart waits, allow testing frameworks to adapt their wait times based on the responsiveness of the applications that are being tested. This ensures that tests are executed quickly without sacrificing reliability by avoiding unnecessary holdups in test execution.

On the contrary, test orchestration encompasses organizing and overseeing test execution across a broad spectrum of platforms and environments. Organizations can decrease execution time and speed up feedback cycles by automating test case distribution, optimizing resource allocation and maximizing testing coverage with the support of a comprehensive orchestration tool.

Test build optimization has gone through a paradigm shift as a result of smart tools, that provide features and capabilities that foster effectiveness, flexibility and innovation. Smart waits and test orchestration combine to shorten test execution time, shorten feedback loops and boost overall productivity for companies.

Embracing smart tools becomes crucial as companies struggle to manage the complexity involved in modern software development. Companies may achieve new heights of efficiency and competition by utilizing intelligent automation and orchestration, which helps their test-build processes succeed in the rapidly evolving digital landscape.

The Balancing Act

Companies have to carefully evaluate several aspects while implementing parallelization and smart tools to ensure this approach best fits their unique needs and circumstances.

Making this decision should be influenced by a few significant factors. Companies ought to assess the size and complexity of their testing environments. Parallelization may provide the most value for large-scale projects with comprehensive test suites, enabling faster execution times and increased productivity. On the other hand, more intelligent tooling could turn out to be a more financially feasible choice for smaller projects with more straightforward testing requirements.

On top of that, factors like financial limitations, accessible resources and expertise in the field cannot be disregarded. Although parallelization might result in substantial performance benefits, its proper implementation could require large infrastructure investments and specialized skills. On the other hand, for companies with limited resources or technological expertise, smart tools might offer a more affordable and accessible choice.


It is impossible to understate the value of efficiency and speed in testing procedures given how quickly software development is still growing. The challenges of longer test build durations and rising costs can be tackled with promising opportunities via the use of fresh approaches like parallelization and smarter tools. Organizations may accelerate test execution, increase workflow efficiency and deliver high-quality software more quickly through the use of these advancements.

When implementing these solutions into practice, companies must, however, carefully assess their specific needs and circumstances, taking into account elements like project size, complexity, financing access and technological expertise.

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