Reviewing software testing models and optimization techniques: an analysis of efficiency and advancement needs
S Kumar - Journal of Computers, Mechanical and Management, 2023 - jcmm.co.in
Software testing is a crucial component of software engineering that aims to confirm the
intended functionality of software modules and minimize the likelihood of future failures. This …
intended functionality of software modules and minimize the likelihood of future failures. This …
Artificial intelligence applied to software testing: A tertiary study
Context: Artificial intelligence (AI) methods and models have extensively been applied to
support different phases of the software development lifecycle, including software testing …
support different phases of the software development lifecycle, including software testing …
Application of geospatial technology for the land use/land cover change assessment and future change predictions using CA Markov chain model
S Shivappa Masalvad, C Patil, A Pravalika… - Environment …, 2024 - Springer
The study of changes in land use and land cover (LULC) is helpful in the understanding of
change and management of environmental sustainability. As a result, the central Telangana …
change and management of environmental sustainability. As a result, the central Telangana …
Nature-inspired metaheuristic methods in software testing
N Khoshniat, A Jamarani, A Ahmadzadeh… - Soft Computing, 2024 - Springer
Software quality is becoming a momentous challenge in software engineering processes,
and software testing has a pivotal role in its measurements. Nature-inspired metaheuristic …
and software testing has a pivotal role in its measurements. Nature-inspired metaheuristic …
Prioritizing software regression testing using reinforcement learning and hidden Markov model
Software regression testing is an essential testing practice that ensures that changes made
to the source code of an application do not affect its functionality and quality. Within this …
to the source code of an application do not affect its functionality and quality. Within this …
Different approaches for testing body sensor network applications
Abstract Body Sensor Networks (BSNs) offer a cost-effective way to monitor patients' health
and detect potential risks. Despite the growing interest attracted by BSNs, there is a lack of …
and detect potential risks. Despite the growing interest attracted by BSNs, there is a lack of …
Expanding Fundamental Boundaries between Resilience and Survivability in Systems Engineering: A Literature Review
The pressures of an everchanging world have impacted the ways in which service-based
systems operate, along with their forms and boundaries. Resilience and survivability have …
systems operate, along with their forms and boundaries. Resilience and survivability have …
A Markova-Chain Approach to Model Vehicles Traffic Behavior
The ability to accurately predict freeway traffic conditions in the near future has recently
gained prominence as it plays a crucial role in the fundamental traffic management functions …
gained prominence as it plays a crucial role in the fundamental traffic management functions …
Prioritizing Test Cases with Markov Chains: A Preliminary Investigation
Abstract Test Case Prioritization reduces the cost of software testing by executing earlier the
subset of test cases showing higher priorities. The methodology consists of ranking test …
subset of test cases showing higher priorities. The methodology consists of ranking test …
Fuzzy Inference System for Test Case Prioritization in Software Testing
In the realm of software development, testing is crucial for ensuring software quality and
adherence to requirements. However, it can be time-consuming and resource-intensive …
adherence to requirements. However, it can be time-consuming and resource-intensive …