This book focuses on software architecture and the value of architecture in the development of long-lived, mission-critical, trustworthy software-systems. The author introduces and demonstrates the powerful strategy of ´´Managed Evolution,´´ along with the engineering best practice known as ´´Principle-based Architecting.´´ The book examines in detail architecture principles for e.g., Business Value, Changeability, Resilience, and Dependability. The author argues that the software development community has a strong responsibility to produce and operate useful, dependable, and trustworthy software. Software should at the same time provide business value and guarantee many quality-of-service properties, including security, safety, performance, and integrity. As Dr. Furrer states, ´´Producing dependable software is a balancing act between investing in the implementation of business functionality and investing in the quality-of-service properties of the software-systems.´´ The book presents extensive coverage of such concepts as: Principle-Based Architecting Managed Evolution Strategy The Future Principles for Business Value Legacy Software Modernization/Migration Architecture Principles for Changeability Architecture Principles for Resilience Architecture Principles for Dependability The text is supplemented with numerous figures, tables, examples and illustrative quotations. Future-Proof Software-Systems provides a set of good engineering practices, devised for integration into most software development processes dedicated to the creation of software-systems that incorporate Managed Evolution.
Coq is an interactive proof assistant for the development of mathematical theories and formally certified software. It is based on a theory called the calculus of inductive constructions, a variant of type theory. This book provides a pragmatic introduction to the development of proofs and certified programs using Coq. With its large collection of examples and exercises it is an invaluable tool for researchers, students, and engineers interested in formal methods and the development of zero-fault software.
This textbook presents a survey of research on boolean functions, circuits, parallel computation models, function algebras, and proof systems. Its main aim is to elucidate the structure of ´´fast´´ parallel computation. The complexity of parallel computation is emphasized through a variety of techniques ranging from finite combinatorics, probability theory and finite group theory to finite model theory and proof theory. Nonuniform computation models are studied in the form of boolean circuits; uniform ones in a variety of forms. Steps in the investigation of non-deterministic polynomial time are surveyed as is the complexity of various proof systems. The book will benefit advanced undergraduates and graduate students as well as researchers in the field of complexity theory.
This highly anticipated print collection gathers articles published in the much-loved International Journal of Proof-of-Concept or Get The Fuck Out. PoC GTFO follows in the tradition of Phrack and Uninformed by publishing on the subjects of offensive security research, reverse engineering, and file format internals. Until now, the journal has only been available online or printed and distributed for free at hacker conferences worldwide. Consistent with the journal´s quirky, biblical style, this book comes with all the trimmings: a leatherette cover, ribbon bookmark, bible paper, and gilt-edged pages. The book features more than 80 technical essays from numerous famous hackers, authors of classics like ´´Reliable Code Execution on a Tamagotchi,´´ ´´ELFs are Dorky, Elves are Cool,´´ ´´Burning a Phone,´´ ´´Forget Not the Humble Timing Attack,´´ and ´´A Sermon on Hacker Privilege.´´ Twenty-four full-color pages by Ange Albertini illustrate many of the clever tricks described in the text.
PoC or GTFO, Volume 2 follows-up the wildly popular first volume with issues 9-13 of the eponymous hacker zine. Contributions range from humorous poems to deeply technical essays. The International Journal of Proof-of-Concept or Get The Fuck Out is a celebrated magazine of reverse engineering, retro-computing, and systems internals. This second collected volume holds all of the articles from releases nine to thirteen. Learn how to patch the firmware of a handheld amateur radio, then emulate that radio´s proprietary audio code under Linux. How to slow the Windows kernel when exploiting a race condition and how to make a PDF file taht is also an Android app, an audio file, or a Gameboy speedrun. How to hack a Wacom pen table with voltage glitching, then hack it again by pure software to read RDID tags from its surface. How to disassemble every last byte of an Atari game and how to bypass every classic form of copy protection on Apple ][. But above all else, beyond the nifty tricks and silly songs, this book exists to remind you what a clever engineer can build from a box of parts with a bit of free time. Not to show you what others have done, but to show you how they did it so that you can do the same.
We depend on¿we believe in¿algorithms to help us get a ride, choose which book to buy, execute a mathematical proof. It´s as if we think of code as a magic spell, an incantation to reveal what we need to know and even what we want. Humans have always believed that certain invocations¿the marriage vow, the shaman´s curse¿do not merely describe the world but make it. Computation casts a cultural shadow that is shaped by this long tradition of magical thinking. In this book, Ed Finn considers how the algorithm¿in practical terms, ´´a method for solving a problem¿¿has its roots not only in mathematical logic but also in cybernetics, philosophy, and magical thinking. Finn argues that the algorithm deploys concepts from the idealized space of computation in a messy reality, with unpredictable and sometimes fascinating results. Drawing on sources that range from Neal Stephenson´s Snow Crash to Diderot´s Encyclopédie, from Adam Smith to the Star Trek computer, Finn explores the gap between theoretical ideas and pragmatic instructions. He examines the development of intelligent assistants like Siri, the rise of algorithmic aesthetics at Netflix, Ian Bogost´s satiric Facebook game Cow Clicker, and the revolutionary economics of Bitcoin. He describes Google´s goal of anticipating our questions, Uber´s cartoon maps and black box accounting, and what Facebook tells us about programmable value, among other things.
Gain a clear understanding of even the most complex, highly theoretical computational theory topics in the approachable presentation found only in the market-leading INTRODUCTION TO THE THEORY OF COMPUTATION, 3E, International Edition. The number one choice for today´s computational theory course, this revision continues the book´s well-known, approachable style with timely revisions, additional practice, and more memorable examples in key areas. A new first-of-its-kind theoretical treatment of deterministic context-free languages is ideal for a better understanding of parsing and LR grammars. You gain a solid understanding of the fundamental mathematical properties of computer hardware, software, and applications with a blend of practical and philosophical coverage and mathematical treatments, including advanced theorems and proofs. INTRODUCTION TO THE THEORY OF COMPUTATION, 3E, International Edition´s comprehensive coverage makes this a valuable reference for your continued studies in theoretical computing.
Computer algebra systems are now ubiquitous in all areas of science and engineering. This highly successful textbook, widely regarded as the ´bible of computer algebra´, gives a thorough introduction to the algorithmic basis of the mathematical engine in computer algebra systems. Designed to accompany one- or two-semester courses for advanced undergraduate or graduate students in computer science or mathematics, its comprehensiveness and reliability has also made it an essential reference for professionals in the area. Special features include: detailed study of algorithms including time analysis; implementation reports on several topics; complete proofs of the mathematical underpinnings; and a wide variety of applications (among others, in chemistry, coding theory, cryptography, computational logic, and the design of calendars and musical scales). A great deal of historical information and illustration enlivens the text. In this third edition, errors have been corrected and much of the Fast Euclidean Algorithm chapter has been renovated.
Approximation algorithms are currently a central and fast-developing area of research in theoretical computer science. This monograph covers the basic techniques used in the latest research work, techniques that everyone in the field should know, and shows that they form the beginnings of a promising theory. The author consolidates progress made so far, including some very recent results, and makes a strong effort to convey the beauty and excitement of work in the field. He gives clear, lucid explanations of key results and ideas, with intuitive proofs, he writes algorithms in simple English to make them easy to understand, and he provides critical examples and numerous illustrations to help in elucidating the algorithms. Many of the results presented have been simplified and new insights provided. The book will interest theoretical computer scientists, operations researchers, and discrete mathematicians.