Data Structure and Software Engineering

Challenges and Improvements
1. Auflage 2011
ISBN: 978-1-926692-97-5
Verlag: Apple Academic Press

Buch, Englisch, 350 Seiten, Format (B × H): 178 mm x 257 mm, Gewicht: 816 g

This title includes a number of Open Access chapters.

Data structure and software engineering is an integral part of computer science. This volume presents new approaches and methods to knowledge sharing, brain mapping, data integration, and data storage. The author describes how to manage an organization’s business process and domain data and presents new software and hardware testing methods. The book introduces a game development framework used as a learning aid in a software engineering at the university level. It also features a review of social software engineering metrics and methods for processing business information. It explains how to use Pegasys to create and manage sequence analysis workflows.

Zielgruppe

Academic and Postgraduate

Autoren/Hrsg.

Antonakos, James L

Fachgebiete

• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Software Engineering
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Algorithmen & Datenstrukturen

Inhaltsverzeichnis

An Architecture to Support Learning, Awareness, and Transparency in Social Software Engineering. Comprehending Software Architecture Using a Unified Single-View Visualization. Determination of Neural Fiber Connections Based on Data Structure Algorithm. A Preliminary Analysis of Software Engineering Metrics-based Criteria for the Evaluation of Learning Objects Reusability. Extending Conceptual Schemas with Business Process Information. Software Test Automation in Practice: Empirical Observations. A Strategy for Automatic Quality Signing and Verification Processes for Hardware and Software Testing. A Tester-Assisted Methodology for Test Redundancy Detection. Automatic Generation of Web Applications from Visual High-Level Functional Web Components. Challenges and Improvements in Distributed Software Development: A Systematic Review. Vertical Mining of Frequent Patterns from Uncertain Data. An Open-Source Representation for 2-DE-Centric Proteomics and Support Infrastructure for Data Storage and Analysis. Pegasys: Software for Executing and Integrating Analyses of Biological Sequences. An Application of a Game Development Framework in Higher Education. Index.

Über Autor(innen)

James L. Antonakos is a Distinguished Professor of Computer Science at Broome Community College in Binghamton, New York, where he has been teaching since 1984. Professor Antonakos teaches both in the classroom and online, in classes covering electricity and electronics, computer networking, computer security and forensics, information management, and computer graphics and simulation. He is the designer and director of the new 2-year AAS Degree in Computer Security and Forensics at Broome Community College. Professor Antonakos is also an online instructor and faculty advisor for Excelsior College and an online instructor for Sullivan University. He has extensive industrial work experience as well in electronic manufacturing for both commercial and military products and consults with many local companies in the area of computer networking and information security. He is the author or co-author of over forty works on computers, networking, electronics, and technology. He is also A+, Network+, and Security+ certified by CompTIA and ACE certified by AccessData.