Using Neural Networks In Software Metrics [PDF]
Software metrics provide effective methods for characterizing software. Metrics have traditionally been composed through the definition of an equation, but this approach is limited by the fact that all the interrelationships among all the parameters be ...
Nicolae Begnescu, Ion I. Bucur
core
BAYESIAN INFERENCE FOR A SOFTWARE RELIABILITY MODEL USING METRICS INFORMATION. [PDF]
In this paper, we are concerned with predicting the number of faults N and the time to next failure of a piece of software. Information in the form of software metrics data is used to estimate the prior distribution of N via a Poisson regression model ...
M.T. RodrÃguez Bernal, Michael P. Wiper
core
openaire +1 more source
Event Files are Common, But Semantic Event Metadata Remain Uneven in OpenNeuro BIDS Datasets. [PDF]
Xu Y.
europepmc +1 more source
TargetQC: A targeted quality control framework for clinical genomic testing. [PDF]
Lan F +7 more
europepmc +1 more source
DISTANCE: a framework for software measure construction. [PDF]
In this paper we present a framework for software measurement that is specifically suited to satisfy the measurement needs of empirical software engineering research.
Dedene, Guido, Poels, Geert
core
A Multimodal Biomedical Transformer Fusion Network for Disease-Level Rare-Disease-Inheritance Classification Using Ontology-Enriched Text, Metadata, and Gene Associations. [PDF]
Mahmood MA, Alsalem K.
europepmc +1 more source
Harmonizing Scale for Intelligent Sensors: Resolution-Conditioned Adaptation of Vision Foundation Models for Crowd Counting. [PDF]
Xu H, Chen Z, Shen S, You H, Chen CC.
europepmc +1 more source
Read-level genotyping of short tandem repeats using long reads and single-nucleotide variation with STRkit. [PDF]
Lougheed DR, Pastinen T, Bourque G.
europepmc +1 more source
Towards an effective refactoring taxonomy for sustainable software systems. [PDF]
Almogahed A +8 more
europepmc +1 more source

