Practitioner's Knowledge Representation (Record no. 58583)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 04113nam a22005415i 4500 |
| 001 - CONTROL NUMBER | |
| control field | 978-3-642-54157-5 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20200421112546.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 140423s2014 gw | s |||| 0|eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9783642541575 |
| -- | 978-3-642-54157-5 |
| 082 04 - CLASSIFICATION NUMBER | |
| Call Number | 005.1 |
| 100 1# - AUTHOR NAME | |
| Author | Mendes, Emilia. |
| 245 10 - TITLE STATEMENT | |
| Title | Practitioner's Knowledge Representation |
| Sub Title | A Pathway to Improve Software Effort Estimation / |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | XI, 211 p. 84 illus. |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Remark 2 | Chapter 1: Introduction to knowledge management -- Chapter 2: Web development vs. software development -- Chapter 3: Introduction to effort estimation -- Chapter 4: Literature review on Web effort estimation -- Chapter 5: Introduction to Bayesian network models -- Chapter 6: Expert-based knowledge engineering of Bayesian networks -- Chapter 7: First case study -- Chapter 8: Second case study -- Chapter 9: Third case study -- Chapter 10: Fourth case study -- Chapter 11: Fifth case study -- Chapter 12: Sixth case study -- Chapter 13: Ways in which to use Bayesian network models within a company -- Chapter 14: Conclusions. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | The main goal of this book is to help organizations improve their effort estimates and effort estimation processes by providing a step-by-step methodology that takes them through the creation and validation of models that are based on their own knowledge and experience. Such models, once validated, can then be used to obtain predictions, carry out risk analyses, enhance their estimation processes for new projects, and generally advance them as learning organizations. Emilia Mendes presents the Expert-Based Knowledge Engineering of Bayesian Networks (EKEBNs) methodology, which she has used and adapted during the course of several industry collaborations with different companies world-wide over more than 6 years. The book itself consists of two major parts: first, the methodology's foundations in knowledge management, effort estimation (with special emphasis on the intricacies of software and Web development), and Bayesian networks are detailed; then six industry case studies are presented which illustrate the practical use of EKEBNs. Domain experts from each company participated in the elicitation of the bespoke models for effort estimation, and all models were built employing the widely-used Netica ™ tool. This part is rounded off with a chapter summarizing the experiences with the methodology and the derived models. Practitioners working on software project management, software process quality, or effort estimation and risk analysis in general will find a thorough introduction into an industry-proven methodology as well as numerous experiences, tips and possible pitfalls invaluable for their daily work. |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | http://dx.doi.org/10.1007/978-3-642-54157-5 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | eBooks |
| 264 #1 - | |
| -- | Berlin, Heidelberg : |
| -- | Springer Berlin Heidelberg : |
| -- | Imprint: Springer, |
| -- | 2014. |
| 336 ## - | |
| -- | text |
| -- | txt |
| -- | rdacontent |
| 337 ## - | |
| -- | computer |
| -- | c |
| -- | rdamedia |
| 338 ## - | |
| -- | online resource |
| -- | cr |
| -- | rdacarrier |
| 347 ## - | |
| -- | text file |
| -- | |
| -- | rda |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Computer science. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Project management. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Knowledge management. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Software engineering. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Mathematical statistics. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Artificial intelligence. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Management information systems. |
| 650 14 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Computer Science. |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Software Engineering. |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Probability and Statistics in Computer Science. |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Project Management. |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Management of Computing and Information Systems. |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Artificial Intelligence (incl. Robotics). |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Knowledge Management. |
| 912 ## - | |
| -- | ZDB-2-SCS |
No items available.