Includes bibliographical references and index.

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 Metricsbased 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.

"Data structure and software engineering is an integral part of computer science, which, as a whole, is the study of the theoretical foundations of information and computation and of practical techniques for their implementation and application in computer systems.

This new book presents new approaches and methods to knowledge sharing, brain mapping, data integration, data storage, managing an organizationżs business process and domain data, new software and hardware testing methods, and a game development framework used as a learning aid in a software engineering at the university level. The book also features a review of social software engineering metrics, methods for processing business information, and using Pegasys to create and manage sequence analysis workflows in biology."--pub. desc.