Risk Based Testing Framework for Prioritizing Testing of High Risk Components

Abstract

In software development, testing plays a critical role in ensuring the reliability and quality of applications. However, conducting extensive and comprehensive testing across all areas and components of a software application can be difficult due to time and resource constraints. To address this issue, a Risk-based testing framework is proposed in this thesis to prioritize testing efforts on the high-risk areas and components of an application. Risk-based testing is a prevalent method for maximizing testing efforts by prioritizing tests according to their potential impact on the system and likelihood of failure. This framework integrates with Raygun software, which collects data on application errors and exceptions, enabling the identification of potential defects and vulnerabilities. By utilizing a risk matrix to analyze the severity and likelihood of identified risks, the framework efficiently prioritizes testing activities, ensuring that critical components and features are properly evaluated. The effectiveness of the proposed framework is validated through real-world evaluation, highlighting the framework’s ability to identify and mitigate potential risks and vulnerabilities. Ultimately, this research contributes to the field of software engineering by offering a systematic approach to risk-based testing, enhancing the quality and safety of software applications while optimizing testing resources.