Top Four Challenges in Test Automation

Automation testing is a testing technique to test and compare the actual outcome with the expected outcome. It is an essential subset of software testing. However, there are many challenges in applying test automation for applications under test.

Challenge 1: High upfront investment cost

Automation increases testing velocity but the cost can be a major concern. The initial phase of implementing automation is always expensive. It is important to analyze, design, and build the test automation framework, reusable functions, libraries, etc. Certain cases may involve licensing costs except for the usual operational costs. One must also take into account the cost incurred in training the resources and setting up the grid.

Challenge 2: Finding the right tool

Finding the right automation tool is a very crucial challenge. There are many tools available now, the choice of tool depends on the kind of application and the extent of automation testing. Before selecting a particular tool, the test engineer should evaluate the pros and cons of each tool and consider based on the basis of the some points such as scalability and maintainability.

Challenge 3: Ensuring Adequate Test Automation Coverage

Another major challenge in automation testing is a lack of infrastructure to enable proper test coverage and execution speed. When testing applications against multiple browsers and operating system combinations, test scripts must run in parallel to run each test against the configuration in a reasonable amount of time. The infrastructure must support the parallelization strategy.

Challenge 4: Effective Communicating and Collaborating in Team

Automation testing is more complicated than manual testing because it requires more communication and collaboration .The team need to spend efforts on communication and provide huge evidence, historical data, and even do a proof of concept. Ineffective communication and collaboration can quickly turn test automation experiences into nightmares.


These challenges are not the only ones found in test automation, yet they are common. If we don't have solutions to overcome them, it can easily result in failure. So we will also provide detailed solutions in the following articles, please stay tuned!

For inquiries, please contact us via

Latest Posts
1Introducing Go Language for System Transformation: Tips and Techniques for Improved Performance Because the go language natively supports coroutines and can meet both development efficiency and program performance, it was decided to introduce the go language for transformation.
2Choosing the Right API Testing Tools: A Comprehensive Guide API testing can be performed by simply recording script through tools with GUI such as soapUI, or by writing code by open source project tools
3Exploring Valuable Test Cases in the Android Official MVP Project: A Comprehensive Guide to Unit Tes This article serves as an appendix to "Interpreting the Unit Testing of the Android Official MVP Project". This MVP project and its unit testing cases can provide many insights for our work, so it is worth giving it a quick read.
4A Comprehensive Guide to XSS Attacks and Defenses This article provides a detailed introduction to XSS(Cross Site Scripting) vulnerability attacks and defenses, including vulnerability basics, XSS fundamentals, encoding basics, XSS Payload, and XSS attack defense.
5How to Make Your Go Program Run Faster? This article is about the Go language. It primarily focuses on runtime speed, rather than development speed – these two types of speed are distinct.