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Data Flow Analysis

Data Flow Analysis
Author: Uday Khedker
Publisher: CRC Press
Total Pages: 395
Release: 2017-12-19
Genre: Computers
ISBN: 0849332516

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Data flow analysis is used to discover information for a wide variety of useful applications, ranging from compiler optimizations to software engineering and verification. Modern compilers apply it to produce performance-maximizing code, and software engineers use it to re-engineer or reverse engineer programs and verify the integrity of their programs. Supplementary Online Materials to Strengthen Understanding Unlike most comparable books, many of which are limited to bit vector frameworks and classical constant propagation, Data Flow Analysis: Theory and Practice offers comprehensive coverage of both classical and contemporary data flow analysis. It prepares foundations useful for both researchers and students in the field by standardizing and unifying various existing research, concepts, and notations. It also presents mathematical foundations of data flow analysis and includes study of data flow analysis implantation through use of the GNU Compiler Collection (GCC). Divided into three parts, this unique text combines discussions of inter- and intraprocedural analysis and then describes implementation of a generic data flow analyzer (gdfa) for bit vector frameworks in GCC. Through the inclusion of case studies and examples to reinforce material, this text equips readers with a combination of mutually supportive theory and practice, and they will be able to access the author’s accompanying Web page. Here they can experiment with the analyses described in the book, and can make use of updated features, including: Slides used in the authors’ courses The source of the generic data flow analyzer (gdfa) An errata that features errors as they are discovered Additional updated relevant material discovered in the course of research


A System for Data Flow Analysis

A System for Data Flow Analysis
Author: Fun-Ting Chan
Publisher: Open Dissertation Press
Total Pages:
Release: 2017-01-27
Genre:
ISBN: 9781374734418

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This dissertation, "A System for Data Flow Analysis" by Fun-ting, Chan, 陳訓廷, was obtained from The University of Hong Kong (Pokfulam, Hong Kong) and is being sold pursuant to Creative Commons: Attribution 3.0 Hong Kong License. The content of this dissertation has not been altered in any way. We have altered the formatting in order to facilitate the ease of printing and reading of the dissertation. All rights not granted by the above license are retained by the author. DOI: 10.5353/th_b3120620 Subjects: Computer programs Computers - Reliability


A System for Data Flow Analysis

A System for Data Flow Analysis
Author: Fun-ting Chan
Publisher:
Total Pages: 186
Release: 1982
Genre: Computer programs
ISBN:

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Structured Systems Analysis and Design

Structured Systems Analysis and Design
Author: V. B. Kaujalgi
Publisher: Orient Blackswan
Total Pages: 180
Release: 1994
Genre: Electronic data processing
ISBN: 9780863113239

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This book describes the data flow diagram approach, which is considered to be the most popular method available for system analysis and design. This method is useful for the development of systems on micro as well as on mini/mainframe computers. It wiil also prove to be a useful book to those who wish to develop computerised systems for business applications using the data flow approach.


Data-Flow Analysis

Data-Flow Analysis
Author: Gerardus Blokdyk
Publisher: Createspace Independent Publishing Platform
Total Pages: 136
Release: 2018-05-07
Genre:
ISBN: 9781718816190

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What are the key elements of your Data-flow analysis performance improvement system, including your evaluation, organizational learning, and innovation processes? How do we go about Securing Data-flow analysis? How do we manage Data-flow analysis Knowledge Management (KM)? Which individuals, teams or departments will be involved in Data-flow analysis? How can the value of Data-flow analysis be defined? This instant Data-flow analysis self-assessment will make you the credible Data-flow analysis domain assessor by revealing just what you need to know to be fluent and ready for any Data-flow analysis challenge. How do I reduce the effort in the Data-flow analysis work to be done to get problems solved? How can I ensure that plans of action include every Data-flow analysis task and that every Data-flow analysis outcome is in place? How will I save time investigating strategic and tactical options and ensuring Data-flow analysis costs are low? How can I deliver tailored Data-flow analysis advice instantly with structured going-forward plans? There's no better guide through these mind-expanding questions than acclaimed best-selling author Gerard Blokdyk. Blokdyk ensures all Data-flow analysis essentials are covered, from every angle: the Data-flow analysis self-assessment shows succinctly and clearly that what needs to be clarified to organize the required activities and processes so that Data-flow analysis outcomes are achieved. Contains extensive criteria grounded in past and current successful projects and activities by experienced Data-flow analysis practitioners. Their mastery, combined with the easy elegance of the self-assessment, provides its superior value to you in knowing how to ensure the outcome of any efforts in Data-flow analysis are maximized with professional results. Your purchase includes access details to the Data-flow analysis self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows you exactly what to do next. Your exclusive instant access details can be found in your book.


Program Flow Analysis

Program Flow Analysis
Author: Steven S. Muchnick
Publisher: Prentice Hall
Total Pages: 454
Release: 1981
Genre: Computers
ISBN:

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"Presents a series of tutorial and research papers on the applications of flow analysis, as well as its methods and underlying theory." -- Preface.


Complete Systems Analysis

Complete Systems Analysis
Author: James Robertson
Publisher: Addison-Wesley
Total Pages: 661
Release: 2013-07-15
Genre: Computers
ISBN: 013349229X

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This is the digital version of the printed book (Copyright © 1998, 1994). In a fundamentally new approach, Complete Systems Analysis teaches everything you need to know about analyzing systems: the methods, the models, the techniques, and more. A definitive text on modern systems analysis techniques is combined with an extensive case study to give readers hands-on experience in completing an actual analysis project. Readers proceed through each step of a full-scale analysis project, analyzing the complex requirements of a television station’s airtime programming department. Each phase of the case study and each exercise in the textbook section is thoroughly explained in separate review and answer sections. An innovative Trail Guide system–inspired by the difficulty levels marked on ski trails–encourages readers to follow a sequence that suits their skill level. Beginners follow the full trail while experienced analysts fill in gaps in their training, refresh their understanding of key concepts, and practice their skills. Managers review key concepts but can skip the detailed work with models. The book shows how analysis is used for object-oriented implementation, and how event-response data flow models and entity-relationship data models are complementary, not competing, models. Complete Systems Analysis adapts to the reader’s needs and provides an appropriate learning path for the beginner, with a more direct route for experienced analysts wanting to make better use of today’s techniques. Since its initial publication in 1994 as a two-volume set in hardcover, this highly acclaimed text–released in 1998 as a single, softcover volume–has served as a course text in classes throughout the world. Topics include Analysis Models Data Flow Diagrams Data Viewpoint Data Models Leveled Data Flow Diagrams Current Physical Viewpoint Building the Data Dictionary Strategy: Focusing on the Essentials Identifying Events Modeling an Event Response Writing Mini Specifications CRUD Check Modeling New Requirements New Physical Viewpoint Object-Oriented Viewpoint Strategy: Toward Implementation


Improving Dynamic Analysis with Data Flow Analysis

Improving Dynamic Analysis with Data Flow Analysis
Author: Walter Chochen Chang
Publisher:
Total Pages: 374
Release: 2010
Genre:
ISBN:

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Many challenges in software quality can be tackled with dynamic analysis. However, these techniques are often limited in their efficiency or scalability as they are often applied uniformly to an entire program. In this thesis, we show that dynamic program analysis can be made significantly more efficient and scalable by first performing a static data flow analysis so that the dynamic analysis can be selectively applied only to important parts of the program. We apply this general principle to the design and implementation of two different systems, one for runtime security policy enforcement and the other for software test input generation. For runtime security policy enforcement, we enforce user-defined policies using a dynamic data flow analysis that is more general and flexible than previous systems. Our system uses the user-defined policy to drive a static data flow analysis that identifies and instruments only the statements that may be involved in a security vulnerability, often eliminating the need to track most objects and greatly reducing the overhead. For taint analysis on a set of five server programs, the slowdown is only 0.65%, two orders of magnitude lower than previous taint tracking systems. Our system also has negligible overhead on file disclosure vulnerabilities, a problem that taint tracking cannot handle. For software test case generation, we introduce the idea of targeted testing, which focuses testing effort on select parts of the program instead of treating all program paths equally. Our "Bullseye" system uses a static analysis performed with respect to user-defined "interesting points" to steer the search down certain paths, thereby finding bugs faster. We also introduce a compiler transformation that allows symbolic execution to automatically perform boundary condition testing, revealing bugs that could be missed even if the correct path is tested. For our set of 9 benchmarks, Bullseye finds bugs an average of 2.5X faster than a conventional depth-first search and finds numerous bugs that DFS could not. In addition, our automated boundary condition testing transformation allows both Bullseye and depth-first search to find numerous bugs that they could not find before, even when all paths were explored.


Data Flow Diagrams – Simply Put!

Data Flow Diagrams – Simply Put!
Author: Thomas and Angela Hathaway
Publisher: BA-Experts
Total Pages: 145
Release: 2015-03-29
Genre: Business & Economics
ISBN:

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WHAT IS THIS BOOK ABOUT? Learn about Data Flow Diagrams (DFDs), Context-level DFDs, and Rigorous Physical Process Models (RPPM), what they are, why they are important, and who can use them. Use Data Flow Diagrams to Visualize Workflows An old Chinese proverb says, “A picture is worth a thousand words.” In the world of Information Technology (IT), we maintain that it may even be worth a whole lot more. For most people, it is difficult or impossible to envision a process flow, especially when someone else is describing it. Understanding current workflows, however, is critical to defining a future IT solution. Just as critical is understanding how data is created and consumed throughout the workflow. To truly understand problems inherent in a business process or workflow, you need to help the practitioners visualize what they do. Visualization lets them identify better ways of working that remove current restrictions. Data Flow Diagrams are phenomenal tools for visualization. Working with business experts, you can help them identify problems and inefficiencies they don’t even know they have. These are not people problems; they are process problems. Understanding when and how to create and use Data Flow Diagrams will help you discover and capture the requirements for improving the use of information technology. Why Should You Take this Course? In “Data Flow Diagrams – Simply Put!”, you will learn the benefits of process visualization for the business community, for the one wearing the BA hat, for those tasked with developing the solution, and ultimately for the entire organization. You will also discover how DFDs are powerful tools for recognizing and eliminating two of the major problems that haunt IT projects, namely Scope Creep and Project Overruns caused by late project change requests. This book uses a concrete business scenario to present a simple, easy-to-learn approach for creating and using Data Flow Diagrams depicting workflow and data manipulation from interviews with Subject Matter Experts. You will learn how to create a Context-Level Data Flow Diagram and explode relevant process(es) to reveal the nitty-gritty detail (i.e., individual process and data specifications) that developers need to create IT solutions that the business community needs. This book answers the following questions: - What is a Data Flow Diagram (DFD)? - What is a Rigorous Physical Process Model? - What is a Context-Level DFD? - Why should I use Data Flow Diagrams? - What symbols can I use on each type of diagram? - How can I drill down into a process? - How can I show internal processes and flows that produce the results? - What does balancing a Data Flow Diagram mean and what is the business value? - What is the most efficient approach to balancing a DFD? - What business value do process specifications offer? - How can I express detailed specifications for processes and data? - What is “metadata" and why do you need it? - What does a fully balanced DFD look like? - What value does a DFD fragment provide? - Regardless of your job title or role, if you are tasked with communicating a workflow or functional requirements to others, this book is for you. WHO WILL BENEFIT FROM READING THIS BOOK? Many distinct roles or job titles in the business community perform business needs analysis for digital solutions. They include: - Product Owners - Business Analysts - Requirements Engineers - Test Developers - Business- and Customer-side Team Members - Agile Team Members - Subject Matter Experts (SME) - Project Leaders and Managers - Systems Analysts and Designers - AND “anyone wearing the business analysis hat”, meaning anyone responsible for defining a future IT solution TOM AND ANGELA’S (the authors) STORY Like all good IT stories, theirs started on a project many years ago. Tom was the super techie, Angela the super SME. They fought their way through the 3-year development of a new policy maintenance system for an insurance company. They vehemently disagreed on many aspects, but in the process discovered a fundamental truth about IT projects. The business community (Angela) should decide on the business needs while the technical team’s (Tom)’s job was to make the technology deliver what the business needed. Talk about a revolutionary idea! All that was left was learning how to communicate with each other without bloodshed to make the project a resounding success. Mission accomplished. They decided this epiphany was so important that the world needed to know about it. As a result, they made it their mission (and their passion) to share this ground-breaking concept with the rest of the world. To achieve that lofty goal, they married and began the mission that still defines their life. After over 30 years of living and working together 24x7x365, they are still wildly enthusiastic about helping the victims of technology learn how to ask for and get the digital (IT) solutions they need to do their jobs better. More importantly, they are more enthusiastically in love with each other than ever before!