Handbook of Research on Innovations in Systems and Software Engineering, 1st Edition

  • Vicente Garcia Diaz
  • Published By:
  • ISBN-10: 146666360X
  • ISBN-13: 9781466663602
  • DDC: 620.004202
  • Grade Level Range: College Freshman - College Senior
  • 723 Pages | eBook
  • Original Copyright 2015 | Published/Released January 2016
  • This publication's content originally published in print form: 2015

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Professionals in the interdisciplinary field of computer science focus on the design, operation, and maintenance of computational systems and software. Methodologies and tools of engineering are utilized alongside the technological advancements of computer applications to develop efficient and precise databases of information. The Handbook of Research on Innovations in Systems and Software Engineering combines relevant research from all facets of computer programming to provide a comprehensive look at the challenges and changes in the field. With information spanning topics such as design models, cloud computing, and security, this handbook is an essential reference source for academicians, researchers, practitioners, and students interested in the development and design of improved and effective technologies.

Table of Contents

Front Cover.
Title Page.
Copyright Page.
Advances in Systems Analysis, Software Engineering, and High Performance Computing (ASASEHPC) Book Series.
Titles in this Series.
List of Contributors.
Table of Contents.
Detailed Table of Contents.
Software Development Process.
1: Graphical Modeling of Security Goals and Software Vulnerabilities.
2: Developing Secure Software Using UML Patterns.
3: A Framework of Statistical and Visualization Techniques for Missing Data Analysis in Software Cost Estimation.
4: Using Business Value Models to Elicit Services Conducting Business Transactions.
5: Cloud Computing Economics.
6: Object-Oriented Cognitive Complexity Measures: An Analysis.
7: QSE: Service Elicitation with Qualitative Research Procedures.
8: A Proposed Pragmatic Software Development Process Model.
Model-Driven Engineering.
9: Modelling, Simulation, and Analysis for Enterprise Architecture.
10: Quality-Driven Database System Development within MDA Approach.
11: Rule-Based Domain-Specific Modeling for E-Government Service Transactions.
12: Developing Software with Domain-Driven Model Reuse.
13: Quantitative Productivity Analysis of a Domain-Specific Modeling Language.
14: Developing Executable UML Components Based on fUML and Alf.