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Knowledge driven development : bridging waterfall and agile methodologies /
"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-known software development methodologies - Waterfall and Agile...
| Main Author: | |
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| Format: | Printed Book |
| Language: | English |
| Published: |
Cambridge :
Cambridge University Press,
2018
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| Series: | Cambridge IISc series
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| Subjects: |
| LEADER | 02709nam a22002658i 4500 | ||
|---|---|---|---|
| 008 | 180916s2018 enk b 001 0 eng c | ||
| 999 | |c 298778 |d 298778 | ||
| 020 | |a 9781108475211 (hardback : alk. paper) | ||
| 082 | |a 005.15 LAL/K | ||
| 100 | 1 | |a Lal, Manoj Kumar | |
| 245 | 1 | 0 | |a Knowledge driven development : |b bridging waterfall and agile methodologies / |c Manoj Kumar Lal |
| 260 | |a Cambridge : |b Cambridge University Press, |c 2018 | ||
| 300 | |a xxx, 295p. ; |c 23cm. | ||
| 490 | 0 | |a Cambridge IISc series | |
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a Knowledge driven development: what is the proposition? -- Project delivery and supporting methodologies -- Project delivery pain areas and the way forward -- Project knowledge model: context and definition -- Project knowledge model: a differentiator -- Project knowledge model vs project documents -- Extending project knowledge model to cover end-to-end project delivery: KDD -- Extended KDD: pre-requirement and post-delivery -- KDD compliance with standards of project delivery -- Enabling DevOps -- Adressing contemporary concerns of project delivery -- Helping existing methodologies -- Technology enablers: tolls and automation -- Suits factory model: needs cultural change -- Global relevance of KDD: GKMF assisting skill development -- Lean KDD: elimination of requirement and test design? -- Conclusion. | |
| 520 | |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-known software 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)"-- | ||
| 650 | 0 | |a Computer software |x Development |x Management. | |
| 650 | 0 | |a Project management |x Methodology. | |
| 650 | 0 | |a Knowledge management. | |
| 942 | |c BK | ||
| 263 | |a 1812 | ||
| 906 | |a 0 |b ibc |c orignew |d 1 |e ecip |f 20 |g y-gencatlg | ||
| 955 | |a LBSOR | ||
| 952 | |0 0 |1 0 |2 ddc |4 0 |6 005_150000000000000_LAL_K |7 0 |9 339754 |a UL |b UL |c ST1 |d 2018-09-28 |e 176 |g 555.00 |l 1 |o 005.15 LAL/K |p 98869 |r 2019-08-26 |s 2019-07-30 |v 750.00 |y BK | ||