Advanced Programming Methodologies

A.P.I.C. studies in data processing

Book 30
Academic Press
Free sample

Advanced Programming Methodologies consists of lecture demos and practical experiments from the Summer School on Advanced Programming Methodologies which took place in Rome, Italy, on September 17-24, 1987. The school focused on tools of advanced programming as well as theoretical foundations for software engineering. Problems connected with implementation and application of high-level programming languages are highlighted.

Comprised of 11 chapters, this volume first looks at two software development projects at the Institute of Informatics of the University of Warsaw in Poland, with emphasis on the methodologies used in programming and implementation. The reader is then introduced to flexible specification environments; object-oriented programming; and Paragon's type hierarchies for data abstraction. Subsequent chapters focus on the inheritance rule in object-oriented programming; a functional programming approach to modularity in large software systems; database management systems; and relational algebra and fixpoint computation for logic programming implementation. The book also examines modules in high-level programming languages before concluding with a chapter devoted to storage management.

This book is intended for computer programmers, undergraduate students taking various courses in programming, and advanced students of computer science.
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Additional Information

Publisher
Academic Press
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Published on
May 10, 2014
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Pages
382
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ISBN
9781483265452
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Best For
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Language
English
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Genres
Computers / Programming / General
Computers / Programming / Object Oriented
Computers / Software Development & Engineering / General
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Content Protection
This content is DRM protected.
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Eligible for Family Library

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Although many texts exist offering an introduction to artificial intelligence (AI), this book is unique in that it places an emphasis on knowledge representation (KR) concepts. It includes small-scale implementations in PROLOG to illustrate the major KR paradigms and their developments.****back cover copy:**Knowledge representation is at the heart of the artificial intelligence enterprise: anyone writing a program which seeks to work by encoding and manipulating knowledge needs to pay attention to the scheme whereby he will represent the knowledge, and to be aware of the consequences of the choices made.****The book's distinctive approach introduces the topic of AI through a study of knowledge representation issues. It assumes a basic knowledge of computing and a familiarity with the principles of elementary formal logic would be advantageous.****Knowledge Representation: An Approach to Artificial Intelligence develops from an introductory consideration of AI, knowledge representation and logic, through search technique to the three central knowledge paradigms: production rules, structured objects, and predicate calculus. The final section of the book illustrates the application of these knowledge representation paradigms through the Prolog Programming language and with an examination of diverse expert systems applications. The book concludes with a look at some advanced issues in knowledge representation.****This text provides an introduction to AI through a study of knowledge representation and each chapter contains exercises for students. Experienced computer scientists and students alike, seeking an introduction to AI and knowledge representations will find this an invaluable text.
Printed in full color.

For this new edition of the best-selling Learn to Program, Chris Pine has taken a good thing and made it even better. First, he used the feedback from hundreds of reader e-mails to update the content and make it even clearer. Second, he updated the examples in the book to use the latest stable version of Ruby, and also to use code that looks more like real-world Ruby code, so that people who have just learned to program will be more familiar with common Ruby techniques.

Not only does the Second Edition now include answers to all of the exercises, it includes them twice. First you'll find the "how you could do it" answers, using the techniques you've learned up to that point in the book. Next you'll see "how Chris Pine would do it": answers using more advanced Ruby techniques, to whet your appetite as well as providing sort of a "Rosetta Stone" for more elegant solutions.

Computers are everywhere, on every desk, in your iPod, cell phone, and PDA. To live well in the 21st century, you need to know how to make computers do things. And to really make computers do what you want, you have to learn to program.

Fortunately, that's easier now than ever before. Chris Pine's book will teach you how to program. You'll learn to use your computer better, to get it to do what you want it to do. Starting with small, simple one-line programs to calculate your age in seconds, you'll see how to advance to fully structured, real programs. You'll learn the same technology used to drive modern dynamic websites and large, professional applications.

It's now easier to learn to write your own computer software than it has ever been before. Now everyone can learn to write programs for themselves---no previous experience is necessary. Chris takes a thorough, but light-hearted approach that teaches you how to program with a minimum of fuss or bother.

Printed in full color.
While most developers today use object-oriented languages, the full power of objects is available only to those with a deep understanding of the object paradigm. How to Use Objects will help you gain that understanding, so you can write code that works exceptionally well in the real world.

Author Holger Gast focuses on the concepts that have repeatedly proven most valuable and shows how to render those concepts in concrete code. Rather than settling for minimal examples, he explores crucial intricacies, clarifies easily misunderstood ideas, and helps you avoid subtle errors that could have disastrous consequences.

Gast addresses the technical aspects of working with languages, libraries, and frameworks, as well as the strategic decisions associated with patterns, contracts, design, and system architecture. He explains the roles of individual objects in a complete application, how they react to events and fulfill service requests, and how to transform excellent designs into excellent code. Using practical examples based on Eclipse, he also shows how tools can help you work more efficiently, save you time, and sometimes even write high-quality code for you.

Gast writes for developers who have at least basic experience: those who’ve finished an introductory programming course, a university computer science curriculum, or a first or second job assignment.

Coverage includes

• Understanding what a professionally designed object really looks like

• Writing code that reflects your true intentions—and testing to make sure it does

• Applying language idioms and connotations to write more readable and maintainable code

• Using design-by-contract to write code that consistently does what it’s supposed to do

• Coding and architecting effective event-driven software

• Separating model and view, and avoiding common mistakes

• Mastering strategies and patterns for efficient, flexible design

• Ensuring predictable object collaboration via responsibility-driven design

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Although many texts exist offering an introduction to artificial intelligence (AI), this book is unique in that it places an emphasis on knowledge representation (KR) concepts. It includes small-scale implementations in PROLOG to illustrate the major KR paradigms and their developments.****back cover copy:**Knowledge representation is at the heart of the artificial intelligence enterprise: anyone writing a program which seeks to work by encoding and manipulating knowledge needs to pay attention to the scheme whereby he will represent the knowledge, and to be aware of the consequences of the choices made.****The book's distinctive approach introduces the topic of AI through a study of knowledge representation issues. It assumes a basic knowledge of computing and a familiarity with the principles of elementary formal logic would be advantageous.****Knowledge Representation: An Approach to Artificial Intelligence develops from an introductory consideration of AI, knowledge representation and logic, through search technique to the three central knowledge paradigms: production rules, structured objects, and predicate calculus. The final section of the book illustrates the application of these knowledge representation paradigms through the Prolog Programming language and with an examination of diverse expert systems applications. The book concludes with a look at some advanced issues in knowledge representation.****This text provides an introduction to AI through a study of knowledge representation and each chapter contains exercises for students. Experienced computer scientists and students alike, seeking an introduction to AI and knowledge representations will find this an invaluable text.
Learning a complex new language is no easy task especially when it s an object-oriented computer programming language like Java. You might think the problem is your brain. It seems to have a mind of its own, a mind that doesn't always want to take in the dry, technical stuff you're forced to study.

The fact is your brain craves novelty. It's constantly searching, scanning, waiting for something unusual to happen. After all, that's the way it was built to help you stay alive. It takes all the routine, ordinary, dull stuff and filters it to the background so it won't interfere with your brain's real work--recording things that matter. How does your brain know what matters? It's like the creators of the Head First approach say, suppose you're out for a hike and a tiger jumps in front of you, what happens in your brain? Neurons fire. Emotions crank up. Chemicals surge.

That's how your brain knows.

And that's how your brain will learn Java. Head First Java combines puzzles, strong visuals, mysteries, and soul-searching interviews with famous Java objects to engage you in many different ways. It's fast, it's fun, and it's effective. And, despite its playful appearance, Head First Java is serious stuff: a complete introduction to object-oriented programming and Java. You'll learn everything from the fundamentals to advanced topics, including threads, network sockets, and distributed programming with RMI. And the new. second edition focuses on Java 5.0, the latest version of the Java language and development platform. Because Java 5.0 is a major update to the platform, with deep, code-level changes, even more careful study and implementation is required. So learning the Head First way is more important than ever.

If you've read a Head First book, you know what to expect--a visually rich format designed for the way your brain works. If you haven't, you're in for a treat. You'll see why people say it's unlike any other Java book you've ever read.

By exploiting how your brain works, Head First Java compresses the time it takes to learn and retain--complex information. Its unique approach not only shows you what you need to know about Java syntax, it teaches you to think like a Java programmer. If you want to be bored, buy some other book. But if you want to understand Java, this book's for you.
As the application of object technology--particularly the Java programming language--has become commonplace, a new problem has emerged to confront the software development community. Significant numbers of poorly designed programs have been created by less-experienced developers, resulting in applications that are inefficient and hard to maintain and extend. Increasingly, software system professionals are discovering just how difficult it is to work with these inherited, "non-optimal" applications. For several years, expert-level object programmers have employed a growing collection of techniques to improve the structural integrity and performance of such existing software programs. Referred to as "refactoring," these practices have remained in the domain of experts because no attempt has been made to transcribe the lore into a form that all developers could use. . .until now. In Refactoring: Improving the Design of Existing Code, renowned object technology mentor Martin Fowler breaks new ground, demystifying these master practices and demonstrating how software practitioners can realize the significant benefits of this new process.

With proper training a skilled system designer can take a bad design and rework it into well-designed, robust code. In this book, Martin Fowler shows you where opportunities for refactoring typically can be found, and how to go about reworking a bad design into a good one. Each refactoring step is simple--seemingly too simple to be worth doing. Refactoring may involve moving a field from one class to another, or pulling some code out of a method to turn it into its own method, or even pushing some code up or down a hierarchy. While these individual steps may seem elementary, the cumulative effect of such small changes can radically improve the design. Refactoring is a proven way to prevent software decay.

In addition to discussing the various techniques of refactoring, the author provides a detailed catalog of more than seventy proven refactorings with helpful pointers that teach you when to apply them; step-by-step instructions for applying each refactoring; and an example illustrating how the refactoring works. The illustrative examples are written in Java, but the ideas are applicable to any object-oriented programming language.

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