Results 241 to 250 of about 2,811,705 (290)

Model predictive game control for personalized and targeted interactive assistance. [PDF]

Commun Eng
Hafs A, Farr A, Verdel D, Bruneau O, Burdet E, Berret B.   +5 more
europepmc   +1 more source

Interpretable Calibration Transfer and Drift Compensation for MOS Gas Sensors in Complex Gas Mixtures. [PDF]

Sensors (Basel)
Schauer J, Morsch J, Arendes D, Schütze A, Bur C.   +4 more
europepmc   +1 more source

Mapping vocal health risk for active vocal users across European urban soundscapes: a computational framework with exploratory empirical evaluation. [PDF]

Front Public Health
Sun Y.
europepmc   +1 more source

Quantification of ventilatory control in sleep apnea: from physiological insight to computable loop gain. [PDF]

Sleep
Nassi T, Oppersma E, Donker DW, Westover MB, Thomas RJ.   +4 more
europepmc   +1 more source

Deep learning with multiscale spatial context improves global dengue suitability mapping

Foka Takamgno C, Poongavanan J, Kraemer MU, de Oliveira T, Semenova E, Tegally H.   +5 more
europepmc   +1 more source

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A subjective effort estimation experiment

Information and Software Technology, 1997
Effort estimation is difficult in general, and in software development it becomes even more complicated if the software process is changed. In this paper a number of alternative interview-based effort estimation methods is presented. The main focus of the paper is to present an experiment in which software engineers were asked to use different methods ...
Martin Höst, Claes Wohlin
exaly   +2 more sources

Guidelines for Software Development Effort Estimation

Computer, 2011
An analysis of 32 accuracy factors yields a list of useful guidelines for improving software development effort estimation accuracy.
Ali Sunyaev, Dirk Basten
exaly   +3 more sources

Organizational Effort Estimation

Computer, 2014
Despite improvements in single-task software effort estimation, IT projects routinely exceed estimates. Guidelines for organization-wide estimation can help overcome challenges involving governance, people, processes, and tools.
Dirk Basten, Thomas Hoerstrup
openaire   +1 more source

On the Evaluation of Effort Estimation Models

Proceedings of the 21st International Conference on Evaluation and Assessment in Software Engineering, 2017
Background. Using accurate effort estimation models can help software companies plan, monitor, and control their development process and development costs. It is therefore important to define sound accuracy indicators that allow practitioners and researchers to assess and rank different effort estimation models so that practitioners can select the most
LAVAZZA, LUIGI ANTONIO, MORASCA, SANDRO
openaire   +3 more sources