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 …

Reliability modelling using ranking algorithm for parameter evaluation

S Sharma, N Kumar, KS Kaswan - International Journal of System …, 2024 - Springer
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 …

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 …

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 …

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 …