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Software Engineering in C
Author: Peter A. Darnell, Philip E. Margolis
Publisher: Springer Science & Business Media
ISBN: 1468403087
Pages: 612
Year: 2012-12-06
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The author starts with the premise that C is an excellent language for software engineering projects. The book con- centrates on programming style,particularly readability, maintainability, and portability. Documents the proposed ANSI Standard, which is expected to be ratified in 1987. This book is designed as a text for both beginner and inter- mediate-level programmers.
Software Engineering in C
Author: Peter A Darnell, Philip E Margolis
ISBN: 1468403095
Pages: 636
Year: 1990-09-04
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Software Engineering in C
Author: Peter A. Darnell
ISBN: 7506207842
Pages: 612
Year: 1988
View: 607
Read: 1306

C: A Software Engineering Approach
Author: Peter A. Darnell, Philip E. Margolis
Publisher: Springer Science & Business Media
ISBN: 1468403834
Pages: 622
Year: 2012-12-06
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This book describes the C programming language and software engineering prin ciples of program construction. The book is intended primarily as a textbook for beginning and intermediate C programmers. It does not assume previous knowl edge of C, nor of any high-level language, though it does assume that the reader has some familiarity with computers. While not essential, knowledge of another programming language will certainly help in mastering C. Although the subject matter of this book is the C language, the emphasis is on software engineering-making programs readable, maintainable, portable, and efficient. One of our main goals is to impress upon readers that there is a huge difference between programs that merely work, and programs that are well engi neered, just as there is a huge difference between a log thrown over a river and a well-engineered bridge. The book is organized linearly so that each chapter builds on information provided in the previous chapters. Consequently, the book will be most effective if chapters are read sequentially. Readers with some experience in C, however, may find it more useful to consult the table of contents and index to find sections of particular interest.
Core C++
Author: Victor Shtern
Publisher: Prentice Hall Ptr
Pages: 1237
Year: 2000
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This book is designed to teach new or experienced C++ programmers the principles of the C++ programming language--with an emphasis on the fundamentals of object-oriented programing, software engineering, and maintenance. The book progresses from simple language constructs and programming constructs to more complex, stressing the choices that the programmer can make and explaining criteria for arriving at high quality programs.
Design Patterns for Embedded Systems in C
Author: Bruce Powel Douglass
Publisher: Elsevier
ISBN: 0080959717
Pages: 472
Year: 2010-11-03
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A recent survey stated that 52% of embedded projects are late by 4-5 months. This book can help get those projects in on-time with design patterns. The author carefully takes into account the special concerns found in designing and developing embedded applications specifically concurrency, communication, speed, and memory usage. Patterns are given in UML (Unified Modeling Language) with examples including ANSI C for direct and practical application to C code. A basic C knowledge is a prerequisite for the book while UML notation and terminology is included. General C programming books do not include discussion of the contraints found within embedded system design. The practical examples give the reader an understanding of the use of UML and OO (Object Oriented) designs in a resource-limited environment. Also included are two chapters on state machines. The beauty of this book is that it can help you today. . Design Patterns within these pages are immediately applicable to your project Addresses embedded system design concerns such as concurrency, communication, and memory usage Examples contain ANSI C for ease of use with C programming code
Object-oriented Software Engineering with C++
Author: Stanley B. Lippman
Publisher: Addison Wesley Longman
Pages: 614
Year: 1991-01-01
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The most important new addition to the C++ language is templates, a feature that facilitates the development of extensive class and algorithmic libraries. This second edition provides coverage of this and the other features of Release 3.0. Assumes only an understanding of the basic constructs of a p
C A Software Engineering Approach
Author: Peter A. Darnell, Philip E. Margolis
Publisher: Springer Science & Business Media
ISBN: 0387946756
Pages: 497
Year: 1996-05-29
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A highly readable text designed for beginning and intermediate C programmers. While focusing on the programming language, the book emphasises stylistic issues and software engineering principles so as to develop programs that are readable, maintainable, portable, and efficient. The software engineering techniques discussed throughout the text are illustrated in a C interpreter, whose source listing is provided on diskette, and highlighted "bug alerts" offer tips on the common errors made by novice programmers. Can be used as the primary course textbook or as the main reference by programmers intent on learning C.
Software Engineering Measurement
Author: John C. Munson, Ph.D.
Publisher: CRC Press
ISBN: 020301118X
Pages: 564
Year: 2003-03-12
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The product of many years of practical experience and research in the software measurement business, this technical reference helps you select what metrics to collect, how to convert measurement data to management information, and provides the statistics necessary to perform these conversions. The author explains how to manage software development measurement systems, how to build software measurement tools and standards, and how to construct controlled experiments using standardized measurement tools. There are three fundamental questions that this book seeks to answer. First, exactly how do you get the measurement data? Second, how do you convert the data from the measurement process to information that you can use to manage the software development process? Third, how do you manage all of the data? Millions of dollars are being spent trying to secure software systems. When suitable instrumentation is placed into the systems that we develop, their activity can be monitored in real time. Measurement based automatic detection mechanisms can be designed into systems. This will permit the detection of system misuse and detect incipient reliability problems. By demonstrating how to develop simple experiments for the empirical validation of theoretical research and showing how to convert measurement data into meaningful and valuable information, this text fosters more precise use of software measurement in the computer science and software engineering literature. Software Engineering Measurement shows you how to convert your measurement data to valuable information that can be used immediately for software process improvement.
Experimentation in Software Engineering
Author: Claes Wohlin, Per Runeson, Martin Höst, Magnus C. Ohlsson, Björn Regnell, Anders Wesslén
Publisher: Springer Science & Business Media
ISBN: 3642290442
Pages: 236
Year: 2012-06-16
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Like other sciences and engineering disciplines, software engineering requires a cycle of model building, experimentation, and learning. Experiments are valuable tools for all software engineers who are involved in evaluating and choosing between different methods, techniques, languages and tools. The purpose of Experimentation in Software Engineering is to introduce students, teachers, researchers, and practitioners to empirical studies in software engineering, using controlled experiments. The introduction to experimentation is provided through a process perspective, and the focus is on the steps that we have to go through to perform an experiment. The book is divided into three parts. The first part provides a background of theories and methods used in experimentation. Part II then devotes one chapter to each of the five experiment steps: scoping, planning, execution, analysis, and result presentation. Part III completes the presentation with two examples. Assignments and statistical material are provided in appendixes. Overall the book provides indispensable information regarding empirical studies in particular for experiments, but also for case studies, systematic literature reviews, and surveys. It is a revision of the authors’ book, which was published in 2000. In addition, substantial new material, e.g. concerning systematic literature reviews and case study research, is introduced. The book is self-contained and it is suitable as a course book in undergraduate or graduate studies where the need for empirical studies in software engineering is stressed. Exercises and assignments are included to combine the more theoretical material with practical aspects. Researchers will also benefit from the book, learning more about how to conduct empirical studies, and likewise practitioners may use it as a “cookbook” when evaluating new methods or techniques before implementing them in their organization.
Embedded Software Development with C
Author: Kai Qian, David Den Haring, Li Cao
Publisher: Springer Science & Business Media
ISBN: 1441906061
Pages: 390
Year: 2009-07-28
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Embedded Software Development With C offers both an effectual reference for professionals and researchers, and a valuable learning tool for students by laying the groundwork for a solid foundation in the hardware and software aspects of embedded systems development. Key features include a resource for the fundamentals of embedded systems design and development with an emphasis on software, an exploration of the 8051 microcontroller as it pertains to embedded systems, comprehensive tutorial materials for instructors to provide students with labs of varying lengths and levels of difficulty, and supporting website including all sample codes, software tools and links to additional online references.
Secure Coding in C and C++
Author: Robert C. Seacord
Publisher: Addison-Wesley
ISBN: 0132981971
Pages: 600
Year: 2013-03-23
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Learn the Root Causes of Software Vulnerabilities and How to Avoid Them Commonly exploited software vulnerabilities are usually caused by avoidable software defects. Having analyzed tens of thousands of vulnerability reports since 1988, CERT has determined that a relatively small number of root causes account for most of the vulnerabilities. Secure Coding in C and C++, Second Edition, identifies and explains these root causes and shows the steps that can be taken to prevent exploitation. Moreover, this book encourages programmers to adopt security best practices and to develop a security mindset that can help protect software from tomorrow’s attacks, not just today’s. Drawing on the CERT’s reports and conclusions, Robert C. Seacord systematically identifies the program errors most likely to lead to security breaches, shows how they can be exploited, reviews the potential consequences, and presents secure alternatives. Coverage includes technical detail on how to Improve the overall security of any C or C++ application Thwart buffer overflows, stack-smashing, and return-oriented programming attacks that exploit insecure string manipulation logic Avoid vulnerabilities and security flaws resulting from the incorrect use of dynamic memory management functions Eliminate integer-related problems resulting from signed integer overflows, unsigned integer wrapping, and truncation errors Perform secure I/O, avoiding file system vulnerabilities Correctly use formatted output functions without introducing format-string vulnerabilities Avoid race conditions and other exploitable vulnerabilities while developing concurrent code The second edition features Updates for C11 and C++11 Significant revisions to chapters on strings, dynamic memory management, and integer security A new chapter on concurrency Access to the online secure coding course offered through Carnegie Mellon’s Open Learning Initiative (OLI) Secure Coding in C and C++, Second Edition, presents hundreds of examples of secure code, insecure code, and exploits, implemented for Windows and Linux. If you’re responsible for creating secure C or C++ software–or for keeping it safe–no other book offers you this much detailed, expert assistance.
Software Engineering for Science
Author: Jeffrey C. Carver, Neil P. Chue Hong, George K. Thiruvathukal
Publisher: CRC Press
ISBN: 1498743862
Pages: 310
Year: 2016-11-03
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Software Engineering for Science provides an in-depth collection of peer-reviewed chapters that describe experiences with applying software engineering practices to the development of scientific software. It provides a better understanding of how software engineering is and should be practiced, and which software engineering practices are effective for scientific software. The book starts with a detailed overview of the Scientific Software Lifecycle, and a general overview of the scientific software development process. It highlights key issues commonly arising during scientific software development, as well as solutions to these problems. The second part of the book provides examples of the use of testing in scientific software development, including key issues and challenges. The chapters then describe solutions and case studies aimed at applying testing to scientific software development efforts. The final part of the book provides examples of applying software engineering techniques to scientific software, including not only computational modeling, but also software for data management and analysis. The authors describe their experiences and lessons learned from developing complex scientific software in different domains. About the Editors Jeffrey Carver is an Associate Professor in the Department of Computer Science at the University of Alabama. He is one of the primary organizers of the workshop series on Software Engineering for Science ( Neil P. Chue Hong is Director of the Software Sustainability Institute at the University of Edinburgh. His research interests include barriers and incentives in research software ecosystems and the role of software as a research object. George K. Thiruvathukal is Professor of Computer Science at Loyola University Chicago and Visiting Faculty at Argonne National Laboratory. His current research is focused on software metrics in open source mathematical and scientific software.
Programming for Engineers
Author: Aaron R. Bradley
Publisher: Springer Science & Business Media
ISBN: 3642233031
Pages: 238
Year: 2011-10-25
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To learn to program is to be initiated into an entirely new way of thinking about engineering, mathematics, and the world in general. Computation is integral to all modern engineering disciplines, so the better you are at programming, the better you will be in your chosen field. The author departs radically from the typical presentation by teaching concepts and techniques in a rigorous manner rather than listing how to use libraries and functions. He presents pointers in the very first chapter as part of the development of a computational model that facilitates an ab initio presentation of subjects such as function calls, call-by-reference, arrays, the stack, and the heap. The model also allows students to practice the essential skill of memory manipulation throughout the entire course rather than just at the end. As a result, this textbook goes further than is typical for a one-semester course -- abstract data types and linked lists, for example, are covered in depth. The computational model will also serve students in their adventures with programming beyond the course: instead of falling back on rules, they can think through the model to decide how a new programming concept fits with what they already know. The book is appropriate for undergraduate students of engineering and computer science, and graduate students of other disciplines. It contains many exercises integrated into the main text, and the author has made the source code available online.
Readings in Artificial Intelligence and Software Engineering
Author: Charles Rich, Richard C. Waters
Publisher: Morgan Kaufmann
ISBN: 1483214427
Pages: 624
Year: 2014-06-28
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Readings in Artificial Intelligence and Software Engineering covers the main techniques and application of artificial intelligence and software engineering. The ultimate goal of artificial intelligence applied to software engineering is automatic programming. Automatic programming would allow a user to simply say what is wanted and have a program produced completely automatically. This book is organized into 11 parts encompassing 34 chapters that specifically tackle the topics of deductive synthesis, program transformations, program verification, and programming tutors. The opening parts provide an introduction to the key ideas to the deductive approach, namely the correspondence between theorems and specifications and between constructive proofs and programs. These parts also describes automatic theorem provers whose development has be designed for the programming domain. The subsequent parts present generalized program transformation systems, the problems involved in using natural language input, the features of very high level languages, and the advantages of the programming by example system. Other parts explore the intelligent assistant approach and the significance and relation of programming knowledge in other programming system. The concluding parts focus on the features of the domain knowledge system and the artificial intelligence programming. Software engineers and designers and computer programmers, as well as researchers in the field of artificial intelligence will find this book invaluable.

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