Characterizing Tests in IoT Software: Practices, Challenges and Opportunities

2026-06-10

AI Summary

This study addresses the challenges in testing Internet of Things (IoT) software, particularly the complexity of external dependencies and insufficient test case effectiveness, which have lacked systematic empirical investigation. It presents the first large-scale analysis of testing practices in open-source IoT projects, integrating assessments of test effectiveness, categorization of testing challenges, and mining of mock usage patterns. The findings reveal that despite the substantial volume of tests, their effectiveness is generally limited, with managing external dependencies emerging as a central difficulty. Moreover, the judicious application of mock objects significantly enhances test coverage and quality. This work establishes the first empirical benchmark for IoT software testing and offers concrete directions for improving testing practices in this domain.

Abstract

The Internet of Things (IoT) is experiencing rapid growth. Smart devices are emerging in smart homes and industrial applications, performing mission-critical tasks. Bugs in IoT software can lead to severe consequences. For example, a buggy smart lock can allow unauthorized access to a private property. Testing is a primary practice to expose software bugs and ensure software quality. However, little is known about how IoT software is tested. To bridge this gap, we conducted the first empirical study on test cases in open-source IoT software. Specifically, we evaluated the effectiveness of test cases in IoT software, explored the challenges inherent in testing IoT software, and analyzed the usage of mock objects. Our results indicate that while IoT software often contains a considerable number of tests, their effectiveness remains limited. We identified the primary challenges in testing IoT software as managing complex interactions with various external dependencies, such as other network-reliant IoT components, file systems, operating systems, and databases. We also observed that the use of mock objects in IoT software closely aligns with our identified testing challenges. This alignment demonstrates the potential of mocking as a solution to enhance test coverage and address the complexities of IoT software testing.

Problem

• IoT software testing
• test effectiveness
• external dependencies
• testing challenges
• mock objects

Innovation

• IoT software testing
• empirical study
• mock objects
• test effectiveness
• external dependencies