About this Research Topic
As we witness the burgeoning influence of revolutionary technologies such as Machine Learning/AI, Blockchain, and Quantum Computing, the realm of software systems and applications is experiencing unprecedented expansion and complexity. These advancements not only enhance capabilities but also introduce new layers of intricacy and potential vulnerabilities. The effectiveness and safety of deploying these technologies critically depend on the evolution of software testing tools and techniques, highlighting a pressing need to address existing challenges while embracing cutting-edge methodologies.
This Research Topic aims to explore and expand the horizons of software testing by integrating novel ideas and technologies that can tackle the increased complexity of modern software systems. Our objectives are to enhance the reliability, quality, security, and performance of software systems, ensuring they meet stringent standards of compliance and can be deployed responsibly in diverse domains. The overarching goal is to adapt testing frameworks to not only keep pace with technological advancements but also to pre-empt future challenges.
To gather further insights into the boundaries of current software testing capabilities, we welcome articles addressing, but not limited to, the following themes:
AI-Driven Testing, including intelligent test case generation and adaptive testing frameworks.
Blockchain and Smart Contract Testing, focusing on decentralized applications and security validations.
Continuous Testing in DevOps environments, with a focus on integration and strategy innovations.
Shift-Left Testing methodologies that integrate testing earlier in development cycles.
Chaos Engineering and resilience testing strategies for robust systems.
Testing challenges in Quantum Computing applications.
Integration of formal logic techniques to enhance testing rigor and coverage.
This Research Topic aims to explore and expand the horizons of software testing by integrating novel ideas and technologies that can tackle the increased complexity of modern software systems. Our objectives are to enhance the reliability, quality, security, and performance of software systems, ensuring they meet stringent standards of compliance and can be deployed responsibly in diverse domains. The overarching goal is to adapt testing frameworks to not only keep pace with technological advancements but also to pre-empt future challenges.
To gather further insights into the boundaries of current software testing capabilities, we welcome articles addressing, but not limited to, the following themes:
AI-Driven Testing, including intelligent test case generation and adaptive testing frameworks.
Blockchain and Smart Contract Testing, focusing on decentralized applications and security validations.
Continuous Testing in DevOps environments, with a focus on integration and strategy innovations.
Shift-Left Testing methodologies that integrate testing earlier in development cycles.
Chaos Engineering and resilience testing strategies for robust systems.
Testing challenges in Quantum Computing applications.
Integration of formal logic techniques to enhance testing rigor and coverage.
Keywords: software analysis, software testing, AI Driven testing, blockchain, smart contract testing, resilience testing, quantum computing
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
