Software defect prediction model based on distance metric learning
C Jin - Soft Computing, 2021 - Springer
Software defect prediction (SDP) is a very important way for analyzing software quality and
reducing development costs. The data during software lifecycle can be used to predict …
reducing development costs. The data during software lifecycle can be used to predict …
Reliability modelling using ranking algorithm for parameter evaluation
Big data delivers high velocity, high volume, and high veracity data in vast quantities.
Analyzing and handling this data requires new software, fast and high-capacity hardware …
Analyzing and handling this data requires new software, fast and high-capacity hardware …
A Neuro-Fuzzy Hybridized Approach for Software Reliability Prediction.
A Kumar - JUCS: Journal of Universal Computer Science, 2022 - search.ebscohost.com
Context: Reliability prediction is critical for software engineers in the current challenging
scenario of increased demand for high-quality software. Even though various software …
scenario of increased demand for high-quality software. Even though various software …
Adaptive time-triggered network-on-chip-based multi-core architecture: enhancing safety and energy efficiency
AN Rakotojaona - 2024 - dspace.ub.uni-siegen.de
Real-time computing systems are designed to meet strict timing constraints and respond to
events or inputs within specified deadlines. These systems are commonly used in safety …
events or inputs within specified deadlines. These systems are commonly used in safety …
Research on Software Reliability Index Allocation Method Based on Network Architecture
LC Hao, LJ Wu, R Yan, XY Han… - … Conference on Quality …, 2019 - ieeexplore.ieee.org
Considering about limitations of existing reliability allocation methods such as consistency
and scalability, this paper proposes a software reliability allocation method that considers …
and scalability, this paper proposes a software reliability allocation method that considers …