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Data structure and software engineer...

Antonakos, James L.

Data structure and software engineering : challenges and improvements

紀錄類型:	書目-語言資料,印刷品 : 單行本
副題名:	challenges and improvements
其他作者:	AntonakosJames L.,
出版地:	Oakville, Ont.
出版者:	Apple Academic Press;
出版年:	2011
面頁冊數:	350 p.ill. : 25 cm.;
標題:	Data structures (Computer science) -
標題:	Software engineering -
附註:	Includes bibliographical references and index
摘要註:	"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
ISBN:	978-1-92-669297-5
內容註:	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 : challenges and improvements
Data structure and software engineering : challenges and improvements / James L. Antonakos, editor - Oakville, Ont. : Apple Academic Press, 2011. - 350 p. ; ill. ; 25 cm..
An Architecture to Support Learning, Awareness, and Transparency in Social Software Engineering.
Includes bibliographical references and index.
ISBN 978-1-92-669297-5ISBN 1-92-669297-7
Data structures (Computer science)Software engineering

Antonakos, James L.

Data structure and software engineering : challenges and improvements
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200 1 $a Data structure and software engineering $e challenges and improvements $f James L. Antonakos, editor
210 $a Oakville, Ont. $c Apple Academic Press $d 2011
215 1 $a 350 p. $c ill. $d 25 cm.
300 $a Includes bibliographical references and index
327 1 $a An Architecture to Support Learning, Awareness, and Transparency in Social Software Engineering $a Comprehending Software Architecture Using a Unified Single-View Visualization $a Determination of Neural Fiber Connections Based on Data Structure Algorithm $a A Preliminary Analysis of Software Engineering Metricsbased Criteria for the Evaluation of Learning Objects Reusability $a Extending Conceptual Schemas with Business Process Information $a Software Test Automation in Practice:Empirical Observations $a A Strategy for Automatic Quality Signing and Verification Processes for Hardware and Software Testing $a A Tester-Assisted Methodology for Test Redundancy Detection $a Automatic Generation of Web Applications from Visual High-Level Functional Web Components $a Challenges and Improvements in Distributed Software Development:A Systematic Review $a Vertical Mining of Frequent Patterns from Uncertain Data $a An Open-Source Representation for 2-DE-Centric Proteomics and Support Infrastructure for Data Storage and Analysis $a Pegasys: Software for Executing and Integrating Analyses of Biological Sequences $a An Application of a Game Development Framework in Higher Education
330 $a "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
330 $a 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
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606 $a Software engineering $2 lc $3 74416
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680 $a QA76.9.D35 $b D353 2011
702 1 $a Antonakos $b James L. $3 55219