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Preface

Published online by Cambridge University Press:  20 October 2018

Manoj Kumar Lal
Affiliation:
Tata Consultancy Services (TCS)
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Summary

Let's visualise IT project delivery as consisting of two segments. The first, dealing with requirement gathering and analysis, and detailing the solution from the business and technical perspective. The second, dealing with coding, testing and implementing the software. The first represents project knowledge and the second relates to its technical implementation. Software engineering focuses on both. While there has been a significant advancement in technical implementation, project knowledge has not matured at the same rate. Project knowledge is still plagued with gaps in effective representation, communication, competency and quality assurance, and there is significant opportunity to improve this area.

We try to manage project knowledge largely through experienced associates, strong adherence to processes and documentation, and robust communication with stakeholders. In this book, I have gone deeper into this by decomposing knowledge and representing it via data points. I have conceptualised the Project Knowledge Model (PKM) to manage the project knowledge in a structured manner. PKM catalogues the entire project knowledge and integrates it together with an exhaustive traceability mechanism. PKM has the potential to assist all the existing project delivery methodologies. It digitises project knowledge which, in turn, assists in the technical implementation of the software as well.

I have expanded PKM to cover end-to-end project delivery and evolved a new methodology of project delivery, named Knowledge Driven Development (KDD). KDD is driven by PKM and blends the Waterfall and Agile project delivery concepts. The bridging of the gap between Waterfall and Agile project delivery is an underlying theme that runs throughout this book and is a positive spin-off from the digitisation of project knowledge.

Taking the knowledge decomposition concept beyond IT, I have also evolved a Generic Knowledge Management Framework (GKMF) which has the potential to manage generic knowledge and assist in skill development.

This book introduces PKM, KDD and GKMF with a case study and examples. It elaborates PKM and explains how the model may help the project delivery, regardless of the project delivery methodology followed. The idea is still conceptual and untested but matured enough to be presentable. Objective of this book is to present the idea in a meaningful manner to enable further work on it.

What inspired me the most to work towards this methodology were the numerous instances of lost time, misdirected effort and the ensuing delays in project delivery.

Type
Chapter
Information
Knowledge Driven Development
Bridging Waterfall and Agile Methodologies
, pp. xix - xxii
Publisher: Cambridge University Press
Print publication year: 2018

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  • Preface
  • Manoj Kumar Lal
  • Book: Knowledge Driven Development
  • Online publication: 20 October 2018
  • Chapter DOI: https://doi.org/10.1017/9781108566551.002
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Save book to Dropbox

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  • Preface
  • Manoj Kumar Lal
  • Book: Knowledge Driven Development
  • Online publication: 20 October 2018
  • Chapter DOI: https://doi.org/10.1017/9781108566551.002
Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

  • Preface
  • Manoj Kumar Lal
  • Book: Knowledge Driven Development
  • Online publication: 20 October 2018
  • Chapter DOI: https://doi.org/10.1017/9781108566551.002
Available formats
×