Static Analysis Of Software
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Author | : Xavier Rival |
Publisher | : MIT Press |
Total Pages | : 315 |
Release | : 2020-02-11 |
Genre | : Computers |
ISBN | : 0262043416 |
A self-contained introduction to abstract interpretation–based static analysis, an essential resource for students, developers, and users. Static program analysis, or static analysis, aims to discover semantic properties of programs without running them. It plays an important role in all phases of development, including verification of specifications and programs, the synthesis of optimized code, and the refactoring and maintenance of software applications. This book offers a self-contained introduction to static analysis, covering the basics of both theoretical foundations and practical considerations in the use of static analysis tools. By offering a quick and comprehensive introduction for nonspecialists, the book fills a notable gap in the literature, which until now has consisted largely of scientific articles on advanced topics. The text covers the mathematical foundations of static analysis, including semantics, semantic abstraction, and computation of program invariants; more advanced notions and techniques, including techniques for enhancing the cost-accuracy balance of analysis and abstractions for advanced programming features and answering a wide range of semantic questions; and techniques for implementing and using static analysis tools. It begins with background information and an intuitive and informal introduction to the main static analysis principles and techniques. It then formalizes the scientific foundations of program analysis techniques, considers practical aspects of implementation, and presents more advanced applications. The book can be used as a textbook in advanced undergraduate and graduate courses in static analysis and program verification, and as a reference for users, developers, and experts.
Author | : Brian Chess |
Publisher | : Pearson Education |
Total Pages | : 1101 |
Release | : 2007-06-29 |
Genre | : Computers |
ISBN | : 0132702029 |
The First Expert Guide to Static Analysis for Software Security! Creating secure code requires more than just good intentions. Programmers need to know that their code will be safe in an almost infinite number of scenarios and configurations. Static source code analysis gives users the ability to review their work with a fine-toothed comb and uncover the kinds of errors that lead directly to security vulnerabilities. Now, there’s a complete guide to static analysis: how it works, how to integrate it into the software development processes, and how to make the most of it during security code review. Static analysis experts Brian Chess and Jacob West look at the most common types of security defects that occur today. They illustrate main points using Java and C code examples taken from real-world security incidents, showing how coding errors are exploited, how they could have been prevented, and how static analysis can rapidly uncover similar mistakes. This book is for everyone concerned with building more secure software: developers, security engineers, analysts, and testers.
Author | : Jean-Louis Boulanger |
Publisher | : John Wiley & Sons |
Total Pages | : 244 |
Release | : 2013-02-07 |
Genre | : Computers |
ISBN | : 1118602951 |
The existing literature currently available to students and researchers is very general, covering only the formal techniques of static analysis. This book presents real examples of the formal techniques called "abstract interpretation" currently being used in various industrial fields: railway, aeronautics, space, automotive, etc. The purpose of this book is to present students and researchers, in a single book, with the wealth of experience of people who are intrinsically involved in the realization and evaluation of software-based safety critical systems. As the authors are people currently working within the industry, the usual problems of confidentiality, which can occur with other books, is not an issue and so makes it possible to supply new useful information (photos, architectural plans, real examples).
Author | : Adam Tornhill |
Publisher | : Pragmatic Bookshelf |
Total Pages | : 356 |
Release | : 2018-03-08 |
Genre | : Computers |
ISBN | : 1680505807 |
Are you working on a codebase where cost overruns, death marches, and heroic fights with legacy code monsters are the norm? Battle these adversaries with novel ways to identify and prioritize technical debt, based on behavioral data from how developers work with code. And that's just for starters. Because good code involves social design, as well as technical design, you can find surprising dependencies between people and code to resolve coordination bottlenecks among teams. Best of all, the techniques build on behavioral data that you already have: your version-control system. Join the fight for better code! Use statistics and data science to uncover both problematic code and the behavioral patterns of the developers who build your software. This combination gives you insights you can't get from the code alone. Use these insights to prioritize refactoring needs, measure their effect, find implicit dependencies between different modules, and automatically create knowledge maps of your system based on actual code contributions. In a radical, much-needed change from common practice, guide organizational decisions with objective data by measuring how well your development teams align with the software architecture. Discover a comprehensive set of practical analysis techniques based on version-control data, where each point is illustrated with a case study from a real-world codebase. Because the techniques are language neutral, you can apply them to your own code no matter what programming language you use. Guide organizational decisions with objective data by measuring how well your development teams align with the software architecture. Apply research findings from social psychology to software development, ensuring you get the tools you need to coach your organization towards better code. If you're an experienced programmer, software architect, or technical manager, you'll get a new perspective that will change how you work with code. What You Need: You don't have to install anything to follow along in the book. TThe case studies in the book use well-known open source projects hosted on GitHub. You'll use CodeScene, a free software analysis tool for open source projects, for the case studies. We also discuss alternative tooling options where they exist.
Author | : Flemming Nielson |
Publisher | : Springer |
Total Pages | : 465 |
Release | : 2015-02-27 |
Genre | : Computers |
ISBN | : 3662038110 |
Program analysis utilizes static techniques for computing reliable information about the dynamic behavior of programs. Applications include compilers (for code improvement), software validation (for detecting errors) and transformations between data representation (for solving problems such as Y2K). This book is unique in providing an overview of the four major approaches to program analysis: data flow analysis, constraint-based analysis, abstract interpretation, and type and effect systems. The presentation illustrates the extensive similarities between the approaches, helping readers to choose the best one to utilize.
Author | : Damian Conway |
Publisher | : "O'Reilly Media, Inc." |
Total Pages | : 542 |
Release | : 2005-07-12 |
Genre | : Computers |
ISBN | : 0596001738 |
This book offers a collection of 256 guidelines on the art of coding to help you write better Perl code--in fact, the best Perl code you possibly can. The guidelines cover code layout, naming conventions, choice of data and control structures, program decomposition, interface design and implementation, modularity, object orientation, error handling, testing, and debugging. - Publisher
Author | : Shuigeng Zhou |
Publisher | : Springer Science & Business Media |
Total Pages | : 812 |
Release | : 2012-12-09 |
Genre | : Computers |
ISBN | : 3642355277 |
This book constitutes the refereed proceedings of the 8th International Conference on Advanced Data Mining and Applications, ADMA 2012, held in Nanjing, China, in December 2012. The 32 regular papers and 32 short papers presented in this volume were carefully reviewed and selected from 168 submissions. They are organized in topical sections named: social media mining; clustering; machine learning: algorithms and applications; classification; prediction, regression and recognition; optimization and approximation; mining time series and streaming data; Web mining and semantic analysis; data mining applications; search and retrieval; information recommendation and hiding; outlier detection; topic modeling; and data cube computing.
Author | : Erol Gelenbe |
Publisher | : Springer |
Total Pages | : 169 |
Release | : 2018-07-13 |
Genre | : Computers |
ISBN | : 3319951890 |
This open access book constitutes the thoroughly refereed proceedings of the First International ISCIS Security Workshop 2018, Euro-CYBERSEC 2018, held in London, UK, in February 2018. The 12 full papers presented together with an overview paper were carefully reviewed and selected from 31 submissions. Security of distributed interconnected systems, software systems, and the Internet of Things has become a crucial aspect of the performance of computer systems. The papers deal with these issues, with a specific focus on societally critical systems such as health informatics systems, the Internet of Things, energy systems, digital cities, digital economy, mobile networks, and the underlying physical and network infrastructures.
Author | : Titus Winters |
Publisher | : O'Reilly Media |
Total Pages | : 602 |
Release | : 2020-02-28 |
Genre | : Computers |
ISBN | : 1492082767 |
Today, software engineers need to know not only how to program effectively but also how to develop proper engineering practices to make their codebase sustainable and healthy. This book emphasizes this difference between programming and software engineering. How can software engineers manage a living codebase that evolves and responds to changing requirements and demands over the length of its life? Based on their experience at Google, software engineers Titus Winters and Hyrum Wright, along with technical writer Tom Manshreck, present a candid and insightful look at how some of the worldâ??s leading practitioners construct and maintain software. This book covers Googleâ??s unique engineering culture, processes, and tools and how these aspects contribute to the effectiveness of an engineering organization. Youâ??ll explore three fundamental principles that software organizations should keep in mind when designing, architecting, writing, and maintaining code: How time affects the sustainability of software and how to make your code resilient over time How scale affects the viability of software practices within an engineering organization What trade-offs a typical engineer needs to make when evaluating design and development decisions
Author | : MR Alan J Richardson |
Publisher | : |
Total Pages | : 436 |
Release | : 2015-08-06 |
Genre | : |
ISBN | : 9780956733252 |
This book is for people who want to learn Java. Particularly people on a team that want to learn Java, but who aren't going to be coding the main Java application i.e. Testers, Managers, Business Analysts, Front End Developers, Designers, etc. If you already know Java then this book may not be for you. This book is aimed at beginners. Designed to help the reader get started fast, the book is easy to follow, and has examples related to testing. You can find the companion web site for the book at http: //javafortesters.com The book covers 'just enough' to get people writing tests and abstraction layers. For example, the book cover the basics of Inheritance, but doesn't really cover Interfaces in detail. We explain the concept of Interfaces, because we need to know it to understand Collections, but not how to write them. Why? Because the book covers enough to get you started, and working. But not overload the reader. Once you are on your way, and have gained some experience. You should have the basic knowledge to understand the additional concepts. Why 'for testers'? Java Developers coding production applications in Java need to learn Java differently from other people on the team. Throughout the author's career, he has have written thousands of lines of Java code, but has rarely had to compile the code into an application. Yet, when we learn Java from most books, one of the first things we learn is 'javac' and the 'main' method and working from the command line. And this is confusing. Most of the code the author writes is wrapped up in a JUnit @Test method. The author has trained many people to write automation in Java, and everytime he has taught Java to testers or other people on the team, we start with a JUnit @Test method and run tests from the IDE. Testers, and other people on the team use java differently. This book provides a different order and approach to learning Java. You can find the source code for all examples and exercises used in the book over on github: https: //github.com/eviltester/javaForTestersCode