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Knowledge driven development : bridg...

Lal, Manoj Kumar

Knowledge driven development : bridging Waterfall and Agile methodologies

紀錄類型:	書目-語言資料,印刷品 : 單行本
副題名:	bridging Waterfall and Agile methodologies
作者:	LalManoj Kumar,
出版地:	Cambridge, United Kingdom
出版者:	Cambridge University Press;
出版年:	2018
面頁冊數:	xxx, 295 p.ill. : 24 cm.;
集叢名:	Cambridge IISc series
標題:	Computer software - Development -
標題:	Project management - Methodology -
標題:	Knowledge management -
附註:	Includes bibliographical references and index
摘要註:	"The majority of IT projects necessitate the incorporation of domain knowledge into working software. This knowledge needs to be consistently managed across the project's activities and outputs. This book assesses how two well-knownsoftware development methodologies - Waterfall and Agile - attempt to meet this challenge. Both approaches exhibit a number of strengths, but also some weaknesses. An alternative model, the Project Knowledge Model (PKM), is put forward. The model scopes the knowledge relevant to the project into a specified number of data points assisting in its digitisation. It establishes a connection between enterprise knowledge and project knowledge for continuous improvement and accelerated project delivery. It can assist existing methodologies in managing knowledge better and has been further developed into a new methodology: Knowledge Driven Development (KDD)"--
ISBN:	9781108475211

Knowledge driven development : bridging Waterfall and Agile methodologies
Lal, Manoj Kumar

Knowledge driven development : bridging Waterfall and Agile methodologies / Manoj Kumar Lal - Cambridge, United Kingdom : Cambridge University Press, 2018. - xxx, 295 p. ; ill. ; 24 cm.. - (Cambridge IISc series).
Includes bibliographical references and index.
ISBN 9781108475211
Computer softwareProject managementKnowledge management -- Development -- Methodology

Knowledge driven development : bridging Waterfall and Agile methodologies
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330 $a "The majority of IT projects necessitate the incorporation of domain knowledge into working software. This knowledge needs to be consistently managed across the project's activities and outputs. This book assesses how two well-knownsoftware development methodologies - Waterfall and Agile - attempt to meet this challenge. Both approaches exhibit a number of strengths, but also some weaknesses. An alternative model, the Project Knowledge Model (PKM), is put forward. The model scopes the knowledge relevant to the project into a specified number of data points assisting in its digitisation. It establishes a connection between enterprise knowledge and project knowledge for continuous improvement and accelerated project delivery. It can assist existing methodologies in managing knowledge better and has been further developed into a new methodology: Knowledge Driven Development (KDD)"--
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