Programming Languages and Systems 1st edition by Peter Thiemann ISBN 3662494973 ‎ 978-3662494974

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ISBN 10: 3662494973
ISBN 13: ‎ 978-3662494974
Author: Peter Thiemann

This book constitutes the proceedings of the 25th European Symposium on Programming, ESOP 2016, which took place in Eindhoven, The Netherlands, in April 2016, held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2016.
The 29 papers presented in this volume were carefully reviewed and selected from 98 submissions. Being devoted to fundamental issues in the specification, design, analysis, and implementation of programming languages and systems, ESOP features contributions on all aspects of programming language research; theoretical and/or practical advances.

Programming Languages and Systems 1st Table of contents:

Preface

• Overview of the Conference/Book
• Acknowledgments
• Organization of the Book

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Part 1: Foundations of Programming Languages

Chapter 1: Introduction to Programming Languages

• Overview of Programming Languages
• Paradigms of Programming: Imperative, Functional, Logic, and Object-Oriented
• The Role of Programming Languages in Software Development

Chapter 2: Syntax and Semantics

• Formal Syntax and Grammar of Programming Languages
• Denotational Semantics: Meaning of Programs
• Operational Semantics: How Programs Execute
• Axiomatic Semantics: Proving Program Correctness

Chapter 3: Type Systems and Type Theory

• Type Systems: Static vs Dynamic Typing
• The Importance of Types in Programming Languages
• Hindley-Milner Type System and Its Applications
• Type Inference and Polymorphism

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Part 2: Language Design and Implementation

Chapter 4: Programming Language Design Principles

• Language Design Paradigms
• Syntax and Semantic Considerations in Language Design
• Language Features: Control Structures, Abstractions, and Modularization

Chapter 5: Compilation and Interpretation

• Compiler Design and Optimization Techniques
• Intermediate Representations and Code Generation
• Interpretation Techniques for Dynamic Languages
• Just-in-Time (JIT) Compilation

Chapter 6: Memory Management and Garbage Collection

• Manual Memory Management vs. Garbage Collection
• Techniques in Automatic Memory Management
• Garbage Collection Algorithms: Reference Counting, Tracing Collectors, etc.

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Part 3: Advanced Topics in Programming Languages

Chapter 7: Concurrent and Parallel Programming Languages

• Models of Concurrency: Threads, Actors, and Communicating Processes
• Language Constructs for Concurrency
• Challenges in Parallel Programming and Language Support

Chapter 8: Functional Programming Languages

• The Paradigm of Functional Programming
• Pure Functional Languages: Haskell, Scheme, etc.
• Lazy Evaluation and Higher-Order Functions
• Immutable Data and Referential Transparency

Chapter 9: Object-Oriented Programming Languages

• Object-Oriented Design Principles: Encapsulation, Inheritance, Polymorphism
• Class and Object Models in OOP Languages
• Java, C++, and Other OOP Languages: Features and Evolution

Chapter 10: Domain-Specific Languages (DSLs)

• Design and Use of Domain-Specific Languages
• Embedding DSLs in Host Languages
• Case Studies of DSLs in Industry

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Part 4: Programming Language Analysis and Verification

Chapter 11: Program Analysis Techniques

• Static Analysis: Type Checking, Control Flow Analysis
• Dynamic Analysis: Profiling, Tracing, and Debugging
• Software Verification: Proving Program Correctness

Chapter 12: Formal Methods and Language-Based Verification

• Formal Methods in Programming Language Design
• Model Checking and Theorem Proving
• Verified Compilers and the Role of Proofs in Language Design

Chapter 13: Security in Programming Languages

• Security Features in Programming Languages: Type Safety, Memory Safety
• Language Features for Secure Code (e.g., Safe Delegation, Data Flow Control)
• Preventing Common Vulnerabilities: Buffer Overflows, Injection Attacks

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Part 5: Emerging Topics and Future Directions

Chapter 14: Language Support for Modern Software Development

• Languages for Web Development: JavaScript, TypeScript, and WebAssembly
• Cloud-Native Programming Languages and Tools
• Programming Languages for Data Science and AI (e.g., Python, R, Julia)

Chapter 15: Hybrid and Multi-Paradigm Languages

• Combining Functional, Imperative, and Object-Oriented Features
• Language Design for Modern Software Development Practices
• Integration of Concurrency and Distributed Computing Models

Chapter 16: The Future of Programming Languages

• Trends in Programming Language Research and Development
• New Paradigms: Quantum Programming Languages, Probabilistic Languages, etc.
• The Role of Artificial Intelligence in Language Design and Optimization

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Conclusion

• Summary of Key Insights in Programming Language Design and Implementation
• Open Challenges and Opportunities for the Future of Programming Languages

Appendices

• A. Further Reading on Programming Languages
• B. Glossary of Key Terms in Programming Language Theory
• C. Index of Notable Programming Languages

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