Software IP Detective's Handbook Measurement, Comparison, and Infringement Detection

ISBN-10: 0137035330

ISBN-13: 9780137035335

Edition: 2011 (Revised)

Authors: Bob Zeidman

List price: $59.99
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Description:

Written by a pioneer in software IP protection, this is an indispensable resource for computer scientists, IP litigators, expert witnesses, entrepreneurs, and managers. The book includes practical examples, realistic definitions, and a new mathematical framework and toolset for measuring and comparing software IP.
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Book details

List price: $59.99
Copyright year: 2011
Publisher: Prentice Hall PTR
Publication date: 4/28/2011
Binding: Paperback
Pages: 480
Size: 7.00" wide x 9.00" long x 1.00" tall
Weight: 1.628
Language: English

Bob Zeidman is the president of The Chalkboard Network, an e-learning company for high-tech professionals. He is also president of Zeidman Consulting, a hardware and software contract development firm. Since 1983, he has designed CPLDs, FPGAs, ASI

Preface
Acknowledgments
About the Author
Introduction
Objectives
Intended Audience
About this Book
Introduction
Software
Intellectual Property
Source Code Differentiation
Source Code Correlation
Object and Source/Object Code Correlation
Source Code Cross-Correlation
Detecting Software IP Theft and Infringement
Miscellaneous Topics
Past, Present, and Future
Intellectual Property Crime
The Extent of IP Theft
Software
Objectives
Intended Audience
Source Code
Programming Languages
Functions, Methods, Procedures, Routines, and Subroutines
Files
Programs
Executing Source Code
Object Code and Assembly Code
Object Code
Assembly Code
Files
Programs
Scripts, Intermediate Code, Macros, and Synthesis Primitives
Scripts
Intermediate Code
Macros
Synthesis Primitives
Intellectual Property
Objectives
Intended Audience
Copyrights
The History of Copyrights
Copyright Protections
Software Copyrights
Allowable and Nonallowable Uses of Copyrighted Code
Patents
The History of Patents
Types of Patents
Parts of a Patent
Patenting an Invention
Special Types of Patent Applications
Software Patents
Software Patent Controversy
Patent Infringement
NPEs and Trolls
Trade Secrets
The History of Trade Secrets
Uniform Trade Secrets Act (UTSA)
Economic Espionage Act
Aspects of a Trade Secret
Trade Secret Theft
Patent or Trade Secret?
Software Forensics
Forensic Science
Forensic Engineering
Digital Forensics
Software Forensics
Thoughts on Requirements for Testifying
Source Code Differentiation
Objectives
Intended Audience
Theory
Diff
Differentiation
Types of Similarity
Measuring Similar Lines
Measuring File Similarity
Measuring Similar Programs
Implementation
Creating and Comparing Arrays
Number of Optimal Match Score Combinations
Choosing Optimal Match Scores for Calculating File Similarity
Choosing File Similarity Scores for Reporting Program Similarity
Applications
Finding Similar Code
Measuring Source Code Evolution
Source Code Correlation
Objectives
Intended Audience
Software Plagiarism Detection
The History of Plagiarism Detection
Problems with Previous Algorithms
Requirements for Good Algorithms
Source Code Characterization
Statements
Comments
Strings
Theory
Practical Definition
Comparing Different Programming Languages
Mathematical Definitions
Source Code Correlation Mathematics
Source Code Examples
Unique Elements
Statement Correlation
Comment/String Correlation
Identifier Correlation
Instruction Sequence Correlation
Overall Correlation
Implementation
Creating Arrays from Source Code
Statement Correlation
Comment/String Correlation
Identifier Correlation
Instruction Sequence Correlation
Overall Correlation
Comparing Programs in Different Programming Languages
Comparing Sections of Code Other than Files
Applications
Functional Correlation
Identifying Authorship
Identifying Origin
Detecting Copyright Infringement (Plagiarism)
Detecting Trade Secret Theft
Locating Third-Party Code (Open Source)
Compiler Optimization
Refactoring
Detecting Patent Infringement
Object and Source/Object Code Correlation
Objectives
Intended Audience
Theory
Practical Definition
Extracting Elements
Comparing Different Programming Languages
Mathematical Definitions
Object and Source/Object Code Correlation Mathematics
Comment/String Correlation
Identifier Correlation
Overall Correlation
False Negatives
Implementation
Creating Text Substring Arrays from Object Code
Creating Arrays from Source Code
Identifier Correlation
Comment/String Correlation
Overall Correlation
Applications
Pre-Litigation Detective Work
Tracking Malware
Locating Third-Party Code
Detecting Open Source Code License Violations
Source Code Cross-Correlation
Objectives
Intended Audience
Theory, Implementation, and Applications
Comparing Different Programming Languages
Mathematical Definitions
Source Code Cross-Correlation Mathematics
Source Code Examples
Statement-to-Comment/String Correlation
Comment/String-to-Statement Correlation
Overall Correlation
Implementation and Applications
Detecting Software IP Theft and Infringement
Objectives
Intended Audience
Detecting Copyright Infringement
Reasons for Correlation
Steps to Find Correlation Due to Copying
Abstraction Filtration Comparison Test
Copyright Infringement Checklist
Detecting Patent Infringement
Interpreting the Claims
Examining the Software
Tools
Determining Patent Validity
Detecting Trade Secret Theft
Identifying Trade Secrets
Tools
Miscellaneous Topics
Objectives
Intended Audience
Implementing a Software Clean Room
Background
The Setup
The Procedure
Open Source Software
Definition
Free Software
Open Source Licenses
Open Source Lawsuits
The Pervasiveness of Open Source Software
Digital Millennium Copyright Act
What Is the DMCA?
For and Against the DMCA
Noteworthy Lawsuits
Conclusion: Past, Present, and Future
Glossary
References
Index
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