Programming Languages and Systems 28th edition by Luís Caires ISBN 3030171833‎ 978-3030171834

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ISBN 10: 3030171833
ISBN 13:‎ 978-3030171834
Author: Luís Caires 

This open access book constitutes the proceedings of the 28^th European Symposium on Programming, ESOP 2019, which took place in Prague, Czech Republic, in April 2019, held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2019.

Programming Languages and Systems 28th Table of contents:

Part I: Foundations of Programming Languages

Chapter 1: Formal Semantics of Programming Languages

• Overview of semantic models

• Type theory and lambda calculus

• Operational and denotational semantics

Chapter 2: Programming Language Design Principles

• Language paradigms: Imperative, functional, object-oriented, and concurrent

• Language abstractions and constructs

• Expressiveness and readability of programming languages

Chapter 3: Language Design and Evolution

• Key factors driving the evolution of programming languages

• The role of language innovation and industry needs

• Case studies: From early languages to modern DSLs

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Part II: Compiler and Interpreter Techniques

Chapter 4: Optimizing Compilers

• Advanced techniques in code optimization

• Static vs. dynamic analysis

• Register allocation, instruction scheduling, and loop transformations

Chapter 5: Just-In-Time Compilation

• Understanding JIT compilation

• Performance analysis and trade-offs

• Use of JIT in modern runtime systems (e.g., JVM, .NET)

Chapter 6: Interpreters and Virtual Machines

• Design of efficient interpreters

• VM architecture and bytecode execution

• Debugging and tracing in interpreted languages

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Part III: Advanced Language Features and Programming Paradigms

Chapter 7: Functional Programming

• Principles of functional programming (FP)

• Type systems in FP

• Pure functional languages: Haskell, Scala, and beyond

Chapter 8: Concurrent and Parallel Programming

• Design of concurrency models

• Shared memory and message-passing paradigms

• Language support for parallelism (e.g., Go, Rust)

Chapter 9: Distributed and Cloud Computing Programming Models

• Frameworks for distributed systems programming

• Fault tolerance and replication

• Programming languages in the cloud era (e.g., languages for big data processing)

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Part IV: Language Tools and Environments

Chapter 10: Integrated Development Environments (IDEs) and Tools

• Tools for static analysis and debugging

• IDE features: Code completion, refactoring, and syntax highlighting

• Performance profiling and memory management tools

Chapter 11: Language-Based Security

• Type systems for secure programming

• Preventing vulnerabilities through language design (e.g., Rust’s ownership model)

• Secure coding standards and best practices

Chapter 12: Language-based Testing and Verification

• Automated testing frameworks for different programming paradigms

• Formal methods and language verification techniques

• Model checking and assertion-based testing

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Part V: Applications and Case Studies

Chapter 13: Industry Applications of New Programming Languages

• Case studies on the adoption of emerging programming languages in industry (e.g., Go, Kotlin, Rust)

• Industry challenges and solutions enabled by language design

Chapter 14: Domain-Specific Languages (DSLs)

• Designing and using DSLs for specific application domains (e.g., databases, AI, web development)

• Case studies of successful DSLs

Chapter 15: Programming Languages in Scientific Computing

• Languages for high-performance computing (e.g., Fortran, Julia, C++)

• Tools for numerical simulations and parallel programming

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Part VI: The Future of Programming Languages and Systems

Chapter 16: The Role of Artificial Intelligence in Language Design

• AI-driven language features

• Integrating machine learning into programming tools

Chapter 17: Evolving the Web and Mobile Programming Languages

• Trends in web languages (JavaScript, TypeScript, WebAssembly)

• Mobile language ecosystems (Kotlin, Swift, Flutter)

Chapter 18: The Impact of Quantum Computing on Programming Languages

• Developing languages for quantum algorithms

• Quantum programming paradigms: Q# and beyond

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Appendices

• A. Biographies of Contributing Authors

• B. Conference Program and Schedule

• C. Index

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