New Software Engineering Paradigm Based on Complexity Science (Record no. 1528)

000 -LEADER
fixed length control field 04988nam a22004935i 4500
001 - CONTROL NUMBER
control field 978-1-4419-7326-9
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20141014113444.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr nn 008mamaa
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 110211s2011 xxu| s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781441973269
-- 978-1-4419-7326-9
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-1-4419-7326-9
Source of number or code doi
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title eng
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number QA76.9.M35
072 #7 - SUBJECT CATEGORY CODE
Subject category code GPFC
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code TEC000000
Source bisacsh
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 620
Edition number 23
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Xiong, Jay.
Relator term author.
245 10 - TITLE STATEMENT
Title New Software Engineering Paradigm Based on Complexity Science
Medium [electronic resource] :
Remainder of title An Introduction to NSE /
Statement of responsibility, etc by Jay Xiong.
250 ## - EDITION STATEMENT
Edition statement 1.
260 #1 - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc New York, NY :
Name of publisher, distributor, etc Springer New York,
Date of publication, distribution, etc 2011.
264 #1 -
-- New York, NY :
-- Springer New York,
-- 2011.
300 ## - PHYSICAL DESCRIPTION
Extent XXXV, 746p. 488 illus.
Other physical details online resource.
336 ## -
-- text
-- txt
-- rdacontent
337 ## -
-- computer
-- c
-- rdamedia
338 ## -
-- online resource
-- cr
-- rdacarrier
347 ## -
-- text file
-- PDF
-- rda
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Introduction -- The Process models of the old-established software engineering paradigm -- The critical problems existing with the old-established software engineering paradigm -- The foundation for establishing NSE: complexity science -- Prediction and practices : a new round of industrial revolution driven by complexity science, and a general paradigm-shift framework proposed -- Outline of NSE paradigm -- NSE process model -- The facility for automated and bidirectional traceability -- NSE software development methodology driven by defect-prevention and traceability -- NSE software diagramming paradigm based on interactive and traceable 3J-Graphics proposed -- The basis of software testing -- Software test case design -- Various kinds of software testing -- NSE software testing paradigm based on Transparent-box testing approach proposed -- NSE software quality assurance paradigm driven by defect prevention -- NSE software maintenance paradigm: systematic, disciplined, and quantifiable -- NSE documentation paradigm: traceable and consistent with the source code -- NSE project management paradigm: seamlessly combined with the project development process -- Technologies and algorithms innovated for supporting NSE -- NSE support tools and NSE support platform, Panorama++ and SilverBullet -- NSE applications -- Candidate of "Silver Bullet".
520 ## - SUMMARY, ETC.
Summary, etc Title: New Software Engineering Paradigm Based on Complexity Science: An Introduction to NSE Author: Jay Xiong Software has become the driving force for the development of all kinds of businesses, engineering, sciences and the global economy. But software itself is not well engineered, resulting in a total economic cost that is disturbingly high. Jay Xiong, a leading entrepreneur in the field of software engineering, realized many of the problems in software engineering stem from an incorrect paradigm. Software is a nonlinear complex system, but the existing software engineering paradigm is based on linear thinking, reductionism, and a superposition principle that the whole of a system is the sum of its parts. Xiong believes that the solution to software problems lies with complexity science, which is the science of studying complex systems with many interactive components. In New Software Engineering Paradigm Based on Complexity Science: An Introduction to NSE, Xiong details how complexity science can be a powerful means to solve all critical issues existing in today’s software engineering through a two-step process. Step one discusses shifting the engineering paradigm to one based on nonlinear process and complexity science. For that, he posits the Nonlinear Software Engineering (NSE) paradigm. And step two applies complexity science to efficiently handle the problems of an individual complex system. This text introduces many new concepts, ideas, algorithms, models, methods, techniques and tools. It is aimed at anyone who has any relation to computer science and software engineering. The tools NSE_CLICK- an automatic acceptance testing platform for outsourcing (or internally developed) C/C++ products, and NSE_CLICK_J - an automatic acceptance testing platform for outsourcing (or internally developed) Java products  are particularly designed for non-technical readers to view/review how the acceptance testing of a software product developed with NSE can be performed automatically, and how the product  developed with NSE is truly maintainable at the customer site.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Engineering.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer software.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Physics.
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Engineering.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Complexity.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Algorithm Analysis and Problem Complexity.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Complex Networks.
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
773 0# - HOST ITEM ENTRY
Title Springer eBooks
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9781441973252
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-1-4419-7326-9
912 ## -
-- ZDB-2-ENG
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type E-Books

No items available.



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