Results 271 to 280 of about 4,744,801 (312)
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Journal of Systems Science and Complexity, 2021
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Licui Zheng, Dongmei Li, Jinwang Liu
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Licui Zheng, Dongmei Li, Jinwang Liu
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Improve by improving software process improvers
International Journal of Business Information Systems, 2006With business environments constantly changing, organisations and individuals must execute and learn in parallel to ensure they can solve today's problems and plan for tomorrow's. This action research explores how action learning can improve Software Process Improvement (SPI) success by 'improving the improvers'.
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Improving iterative improvement
Proceedings of the 1971 26th annual conference on -, 1971This paper describes a scheme for iteratively improving the decomposition of a given matrix A into the product of two matrices B and C. Although B and C may be completely general matrices, the scheme is most practically applicable in the LU and QR decompositions of a matrix.
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Improve IT, Improve Healthcare
Computer, 2017While not a magical solution to healthcare problems, improving IT will improve quality and reduce preventable errors that cause patient harm.
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Improving software process improvement
IEEE Software, 2002Two dichotomies characterize software process improvement efforts and approaches: disciplined versus creative work and procurer risks versus user satisfaction. Based on these perspectives, the authors introduce six theses to illuminate the problems of pursuing SPI.
R. Conradi, FUGGETTA, ALFONSO
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IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics), 2004
In the proposed model, dynamic inhibitory weights are used to speed up the convergence rate, and a new convergence rule is applied to find all maxima. The hardware implementation of the proposed model is presented in the study, and simulation results indicate that the proposed model converges much faster than the other networks.
Yi C. Chang, Sung-Nien Yu, Chung J. Kuo
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In the proposed model, dynamic inhibitory weights are used to speed up the convergence rate, and a new convergence rule is applied to find all maxima. The hardware implementation of the proposed model is presented in the study, and simulation results indicate that the proposed model converges much faster than the other networks.
Yi C. Chang, Sung-Nien Yu, Chung J. Kuo
openaire +2 more sources