Antonakos J.L. (Eds.) Data Structure and Software Engineering: Challenges and Improvements

Apple Academic Press, 2011. — 350 p. — ISBN: 1926692977, 9781466562608Data 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.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