Results 91 to 100 of about 9,202 (166)

Cost analysis of enhanced software reliability model with Weibull testing effort function using simulated annealing. [PDF]

Sci Rep
Komee, Pachauri B.
europepmc   +1 more source

Research on Shape-Performance Integrated Monitoring Technology for Planetary Gearboxes Based on the Integration of Artificial Intelligence, Finite Element Analysis, and Multibody Dynamics Simulation. [PDF]

Sensors (Basel)
Cui Y, An B, Wu Z, Shang Z, Zhang X.
europepmc   +1 more source

Software Fault Prediction Using Data Reduction Techniques

International Journal of Science and Research (IJSR), 2015
openaire   +1 more source

Evaluation of lateral sealing capability of fault-controlled gas storage at different periods. [PDF]

Sci Rep
Meng L, Fu X, Cheng J, Wang C, Zhang X, Kang T, Wang T, Zhang T.   +7 more
europepmc   +1 more source

A fusion sparse learning algorithm for fault identification of rolling bearings. [PDF]

PLoS One
Liu Y, Liu J, Ma Y, Wang S, Zhang Q.
europepmc   +1 more source

A Fault Identification Method for Micro-Motors Using an Optimized CNN-Based JMD-GRM Approach. [PDF]

Micromachines (Basel)
Bai Y, Gu Z, Yu J, Chen J.
europepmc   +1 more source

Software Fault Prediction : Using Machine Learning Algorithms

Background: Software fault prediction (SFP) is a critical task in software engineering, enabling early identification of fault modules to improve software quality and reduce maintenance costs. SFP datasets, such as PROMISE, are often characterized by high-dimensional metrics and multicollinearity, posing unique challenges.
openaire   +1 more source

Graph neural network-based mutation-aware regression test ordering using code dependency graphs and execution traces. [PDF]

MethodsX
Sowmyadevi S, Alphy A.
europepmc   +1 more source

An Upper-Probability-Based Softmax Ensemble Model for Multi-Sensor Bearing Fault Diagnosis. [PDF]

Sensors (Basel)
Jo H, Yoo Y, Dai M, Ban SW.
europepmc   +1 more source