Fr. 72.00

Knowledge based Software Process Improvement

English, German · Paperback / Softback

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Description

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Ever since the evolution of software development processes, software development organizations have given several successful products, and also have several projects failed. There could be so many reasons for these failures, and the significant one is software processes. These organizations lack a knowledge-base to survive the failures and sustain the processes. This book provides a new approach for software process improvement program which is driven by the proposed knowledge driven model, and is customizable as per the organization's profile, nature of product, types of people. It catalyses the learning processes in software organizations and builds its knowledge-base continuously. The model was implemented in five organizations and the results are encouraging and show a sustained improvement which are discussed as case studies along with the results and interpretations. These case studies are of help in deploying the KDM approach in software organizations to reap more successful project. Project heads and technical leads will be benefited in understanding how these knowledge based activities will help their teams' productivity increase with less effort and with sustained growth.

About the author

Dr.S.Justus, Associate Professor,VIT University,Chennai, received his Ph.D. from MKU, India. His specializations include Software and Knowledge Engineering. He has rich industry and academic experience.He has completed and ongoing industry consultancy works.He has published in reputed International Journals and Conferences.

Product details

Authors S Geetha, S. Geetha, Justus, S Justus, S. Justus, Hepsib Mabel V, Hepsiba Mabel V, Hepsiba Mabel V.
Publisher LAP Lambert Academic Publishing
 
Languages English, German
Product format Paperback / Softback
Released 01.01.2016
 
EAN 9783659977176
ISBN 978-3-659-97717-6
No. of pages 144
Dimensions 150 mm x 220 mm x 8 mm
Weight 234 g
Subject Natural sciences, medicine, IT, technology > IT, data processing > Application software

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