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A generalized logistic-logit function and its application to multi-layer perceptron and neuron segmentation. [PDF]

Front Artif Intell
Gu W, Zhang Y, Muscoloni A, Cannistraci CV.   +3 more
europepmc   +1 more source

Quantum algorithms for viscosity solutions to nonlinear Hamilton-Jacobi equations based on an entropy penalization method. [PDF]

Proc Natl Acad Sci U S A
Jin S, Liu N.
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Function Point Analysis for Software Maintenance

Proceedings of the 10th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, 2016
Context: Software maintenance is required to fix defects, adapt to changes in the environment, and meet new or changed user requirements. The effort of these tasks need to be estimated to track progress, manage resources, and make decisions. Most widely used cost models use source lines of code (SLOC) as the software size input measure, due to its ...
Anandi Hira, Barry W. Boehm
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Fuzzy Modeling for Function Points Analysis

Software Quality Journal, 2003
Function Point Analysis (FPA) is a largely used technique to estimate the size of development project, enhancement project or applications already installed. During the point counting process that represents the dimension of a project or an application, each function is classified according to its relative functional complexity.
Osias de Souza Lima Júnior, Pedro Porfírio Muniz Farias, Arnaldo Dias Belchior   +2 more
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Early and quick function points analysis: Evaluations and proposals

Journal of Systems and Software, 2021
Abstract Measuring Function Points following the standard process is sometimes long and expensive. To solve this problem, several early estimation methods have been proposed. Among these, the “NESMA Estimated” method is one of the most widely used; it has also been selected by the International Function Point User Group as the official early function
Geng Liu, Luigi Lavazza
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Function-Point Cluster Analysis

Systematic Zoology, 1973
Katz, Jeffrey and F. James Rohlf (Department of Ecology and Evolution, State University of New York, Stony Brook, New York 11790) 1973. Function-point cluster analysis. Syst. Zool., 22:295-301.-The gradient clustering method of Ihm (1965) was reinvestigated and applied to several sets of real and artificial data.
J. O. Katz, F. J. Rohlf
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