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Empirical Foundations of Information and Software Science V

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Cover of 'Empirical Foundations of Information and Software Science V'

Table of Contents

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    Book Overview
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    Chapter 1 Software for Human Hardware?
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    Chapter 2 Software Process Modeling: The Triad Approach
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    Chapter 3 Modeling the Software Design Process
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    Chapter 4 Methodological Principles of Uncertainty in Information Systems Modeling
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    Chapter 5 CAST — Modelling Approaches in Software Design
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    Chapter 6 Organizational Integration: Modeling Technology and Management
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    Chapter 7 Parallel Models in Software Life Cycle
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    Chapter 8 A Methodology for Eliciting Users Cognitive Models of Computer-Based Systems
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    Chapter 9 Use of a Blackboard Framework to Model Software Design
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    Chapter 10 The Entity-Relationship Data Model Considered Harmful
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    Chapter 11 Automatic Generation of Conceptual Database Design Tools
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    Chapter 12 Modeling and Evaluation of Information Systems
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    Chapter 13 Static vs. Dynamic Information Systems Modeling: A Cooperation Based Approach
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    Chapter 14 Architectural Modeling of Complex Information Systems
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    Chapter 15 A Management Model for Effective Information-Use in Research Work
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    Chapter 16 Software Implementation and Applications of the Generalized Information System
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    Chapter 17 Building a User Modelling Shell
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    Chapter 18 Evaluation of Human-Computer Interface Development Tools: Problems and Promises
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    Chapter 19 Modelling Human Machine Interaction: Techniques for Prediction of Performance
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    Chapter 20 A Model of the Operator’s Task in Diagnostic Problem Solving
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    Chapter 21 Intent Inferencing with a Model-Based Operator’s Associate
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    Chapter 22 Computer Aided Decision Making Using Uncertain and Imprecise Information
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    Chapter 23 Statistical Models of Language Use
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    Chapter 24 A Speech Act Based Model for Analyzing Cooperative Work in Office Information Systems
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    Chapter 25 Quantitative Regularities of the Diversity of Lexical Meaning
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    Chapter 26 Database Management Models for Reusability in Integrated Software Engineering Environments
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    Chapter 27 An Adaptive Data Distribution Model for Distributed Databases Based on Empirical Measurement of Local and Global Database Transactions
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    Chapter 28 Implementing Recursive Data Structures in ADA
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    Chapter 29 ADA Reusability Analysis and Measurement
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    Chapter 30 Object-Based Measurement in the Requirements Specification Phase
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    Chapter 31 Comparison of Subjective Entropy and User Estimates of Software Complexity
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    Chapter 32 A Metrics-Driven Approach to the Automatic Acquisition of Software Engineering Knowledge
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    Chapter 33 Observing ADA Software Components
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    Chapter 34 Keesee: A Behavioral Object-Oriented Database Framework for Software Engineering
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    Chapter 35 Environmental Effects on the Detection of Errors in Software Systems
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    Chapter 36 Issues in Reusable ADA Library Tools
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    Chapter 37 Verification and Validation of Reusable ADA Components
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    Chapter 38 The Rapid Center: A Model for Software Reuse Policy
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    Chapter 39 Knowledge Based Tools for Reusable ADA Software
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    Chapter 40 A Model for Life Cycle Reusability in Information and Software Engineering
Overall attention for this book and its chapters
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Title
Empirical Foundations of Information and Software Science V
Published by
Springer US, December 2012
DOI 10.1007/978-1-4684-5862-6
ISBNs
978-1-4684-5864-0, 978-1-4684-5862-6
Editors

Zunde, Pranas, Hocking, Dan

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X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 29%
Professor 1 14%
Student > Doctoral Student 1 14%
Student > Postgraduate 1 14%
Unknown 2 29%
Readers by discipline Count As %
Computer Science 3 43%
Social Sciences 1 14%
Engineering 1 14%
Unknown 2 29%