Software Cost Modelling Estimation by Papatheocharous Efi (7 results)

Taschenbuch. Condition: Neu. Software Cost Modelling and Estimation | A Computational Intelligent Approach | Efi Papatheocharous | Taschenbuch | 348 S. | Englisch | 2013 | LAP LAMBERT Academic Publishing | EAN 9783659177804 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Paperback. Condition: Brand New. 348 pages. 8.66x5.91x0.79 inches. In Stock.

Paperback. Condition: Brand New. 348 pages. 8.66x5.91x0.79 inches. In Stock.

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Software cost estimation is the art of balancing time and resources to optimally budget projects. Most estimation models consist of mathematical algorithms or parametric relations and are used to approximate the dominant cost for developing software, the human effort. The models and techniques in this book are primarily based on the factors of People - Process - Product and through extensive experimentation with benchmark data obtained from the relevant literature they are proven viable and practical alternatives to traditional models. Moreover, they improve accuracy and increase comprehensibility over the risks occurring. Both quantitative and qualitative approaches are adopted. The quantitative approach, improves estimation accuracy, reliability and generalisability by exploring Computational Intelligence techniques, such as Artificial Neural Networks, Evolutionary Algorithms, Fuzzy Logic, and hybrid forms of these techniques. The qualitative approach extends the numerical and empirical Computational Intelligence investigations, by employing Fuzzy Cognitive Maps and Influence Diagrams, which facilitate in understanding the cause-and-effect dependencies of cost factors and effort. 348 pp. Englisch.

Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Papatheocharous EfiDr. Efi Papatheocharous is currently an ERCIM Post-doctoral Research Fellow at the Swedish Institute of Computer Science. In the past, she has been a Visiting Lecturer at the Department of Computer Science, Univers.

Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Software cost estimation is the art of balancing time and resources to optimally budget projects. Most estimation models consist of mathematical algorithms or parametric relations and are used to approximate the dominant cost for developing software, the human effort. The models and techniques in this book are primarily based on the factors of People - Process - Product and through extensive experimentation with benchmark data obtained from the relevant literature they are proven viable and practical alternatives to traditional models. Moreover, they improve accuracy and increase comprehensibility over the risks occurring. Both quantitative and qualitative approaches are adopted. The quantitative approach, improves estimation accuracy, reliability and generalisability by exploring Computational Intelligence techniques, such as Artificial Neural Networks, Evolutionary Algorithms, Fuzzy Logic, and hybrid forms of these techniques. The qualitative approach extends the numerical and empirical Computational Intelligence investigations, by employing Fuzzy Cognitive Maps and Influence Diagrams, which facilitate in understanding the cause-and-effect dependencies of cost factors and effort.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 348 pp. Englisch.

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Software cost estimation is the art of balancing time and resources to optimally budget projects. Most estimation models consist of mathematical algorithms or parametric relations and are used to approximate the dominant cost for developing software, the human effort. The models and techniques in this book are primarily based on the factors of People - Process - Product and through extensive experimentation with benchmark data obtained from the relevant literature they are proven viable and practical alternatives to traditional models. Moreover, they improve accuracy and increase comprehensibility over the risks occurring. Both quantitative and qualitative approaches are adopted. The quantitative approach, improves estimation accuracy, reliability and generalisability by exploring Computational Intelligence techniques, such as Artificial Neural Networks, Evolutionary Algorithms, Fuzzy Logic, and hybrid forms of these techniques. The qualitative approach extends the numerical and empirical Computational Intelligence investigations, by employing Fuzzy Cognitive Maps and Influence Diagrams, which facilitate in understanding the cause-and-effect dependencies of cost factors and effort.