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| fortran static code analysis: NASA Tech Briefs , 1983 |
| fortran static code analysis: Scientific and Technical Aerospace Reports , 1994 |
| fortran static code analysis: Software Development Tools Raymond C. Houghton, 1982 |
| fortran static code analysis: Software Testing for Network Services Rona B. Stillman, Belkis Leong-Hong, 1975 |
| fortran static code analysis: Handbook of Research on Computational Science and Engineering: Theory and Practice Leng, J., 2011-10-31 By using computer simulations in research and development, computational science and engineering (CSE) allows empirical inquiry where traditional experimentation and methods of inquiry are difficult, inefficient, or prohibitively expensive. The Handbook of Research on Computational Science and Engineering: Theory and Practice is a reference for interested researchers and decision-makers who want a timely introduction to the possibilities in CSE to advance their ongoing research and applications or to discover new resources and cutting edge developments. Rather than reporting results obtained using CSE models, this comprehensive survey captures the architecture of the cross-disciplinary field, explores the long term implications of technology choices, alerts readers to the hurdles facing CSE, and identifies trends in future development. |
| fortran static code analysis: Computer Program Abstracts , 1975 |
| fortran static code analysis: NBS Technical Note , 1975-07 |
| fortran static code analysis: Foundations of Empirical Software Engineering Barry Boehm, Hans Dieter Rombach, Marvin V. Zelkowitz, 2005-05-13 Although software engineering can trace its beginnings to a NATO conf- ence in 1968, it cannot be said to have become an empirical science until the 1970s with the advent of the work of Prof. Victor Robert Basili of the University of Maryland. In addition to the need to engineer software was the need to understand software. Much like other sciences, such as physics, chemistry, and biology, software engineering needed a discipline of obs- vation, theory formation, experimentation, and feedback. By applying the scientific method to the software engineering domain, Basili developed concepts like the Goal-Question-Metric method, the Quality-Improvement- Paradigm, and the Experience Factory to help bring a sense of order to the ad hoc developments so prevalent in the software engineering field. On the occasion of Basili’s 65th birthday, we present this book c- taining reprints of 20 papers that defined much of his work. We divided the 20 papers into 6 sections, each describing a different facet of his work, and asked several individuals to write an introduction to each section. Instead of describing the scope of this book in this preface, we decided to let one of his papers, the keynote paper he gave at the International C- ference on Software Engineering in 1996 in Berlin, Germany to lead off this book. He, better than we, can best describe his views on what is - perimental software engineering. |
| fortran static code analysis: Cumulative Index to NASA Tech Briefs , |
| fortran static code analysis: Software Aids and Tools Survey , 1986 |
| fortran static code analysis: COSMIC Software Catalog , 1987 |
| fortran static code analysis: Applying Software Metrics Paul Oman, Shari Lawrence Pfleeger, 1996-11-13 Features a useful collection of important and practical papers on applying software metrics and measurement. The book details the importance of planning a successful measurement program with a complete discussion of why, what, where, when, and how to measure and who should be involved. Each chapter addresses these significant questions and provides the essential answers in building an effective measurement program. The book differs from others on the market by focusing on the application of the metrics rather than the metrics themselves. The author's provide information based on actual experience with successful metrics programs. Each chapter includes a case study focusing on technology transfer and a set of recommended references. The book serves as a guide on the use and application of software metrics in industrial environments. It is specially designed for managers, product supervisors, and quality assurance personnel who want to know how to implement a metrics program. |
| fortran static code analysis: COSMIC Software Catalog United States. National Aeronautics and Space Administration. Computer Software Management and Information Center, 1993 |
| fortran static code analysis: Computational Plasticity for Finite Elements Michael Trapp, Andreas Öchsner, 2018-03-06 This volume demonstrates the use of FORTRAN for numerical computing in the context of the finite element method. FORTRAN is still an important programming language for computational mechanics and all classical finite element codes are written in this language, some of them even offer an interface to link user-code to the main program. This feature is especially important for the development and investigation of new engineering structures or materials. Thus, this volume gives a simple introduction to programming of elasto-plastic material behavior, which is, for example, the prerequisite for implementing new constitutive laws into a commercial finite element program. |
| fortran static code analysis: Collected Software Engineering Papers , 1983 |
| fortran static code analysis: Modern Fortran Milan Curcic, 2020-10-07 Modern Fortran teaches you to develop fast, efficient parallel applications using twenty-first-century Fortran. In this guide, you’ll dive into Fortran by creating fun apps, including a tsunami simulator and a stock price analyzer. Filled with real-world use cases, insightful illustrations, and hands-on exercises, Modern Fortran helps you see this classic language in a whole new light. Summary Using Fortran, early and accurate forecasts for hurricanes and other major storms have saved thousands of lives. Better designs for ships, planes, and automobiles have made travel safer, more efficient, and less expensive than ever before. Using Fortran, low-level machine learning and deep learning libraries provide incredibly easy, fast, and insightful analysis of massive data. Fortran is an amazingly powerful and flexible programming language that forms the foundation of high performance computing for research, science, and industry. And it's come a long, long way since starting life on IBM mainframes in 1956. Modern Fortran is natively parallel, so it's uniquely suited for efficiently handling problems like complex simulations, long-range predictions, and ultra-precise designs. If you're working on tasks where speed, accuracy, and efficiency matter, it's time to discover—or re-discover—Fortran.. About the technology For over 60 years Fortran has been powering mission-critical scientific applications, and it isn't slowing down yet! Rock-solid reliability and new support for parallel programming make Fortran an essential language for next-generation high-performance computing. Simply put, the future is in parallel, and Fortran is already there. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the book Modern Fortran teaches you to develop fast, efficient parallel applications using twenty-first-century Fortran. In this guide, you'll dive into Fortran by creating fun apps, including a tsunami simulator and a stock price analyzer. Filled with real-world use cases, insightful illustrations, and hands-on exercises, Modern Fortran helps you see this classic language in a whole new light. What's inside Fortran's place in the modern world Working with variables, arrays, and functions Module development Parallelism with coarrays, teams, and events Interoperating Fortran with C About the reader For developers and computational scientists. No experience with Fortran required. About the author Milan Curcic is a meteorologist, oceanographer, and author of several general-purpose Fortran libraries and applications. Table of Contents PART 1 - GETTING STARTED WITH MODERN FORTRAN 1 Introducing Fortran 2 Getting started: Minimal working app PART 2 - CORE ELEMENTS OF FORTRAN 3 Writing reusable code with functions and subroutines 4 Organizing your Fortran code using modules 5 Analyzing time series data with arrays 6 Reading, writing, and formatting your data PART 3 - ADVANCED FORTRAN USE 7 Going parallel with Fortan coarrays 8 Working with abstract data using derived types 9 Generic procedures and operators for any data type 10 User-defined operators for derived types PART 4 - THE FINAL STRETCH 11 Interoperability with C: Exposing your app to the web 12 Advanced parallelism with teams, events, and collectives |
| fortran static code analysis: OpenMP: Conquering the Full Hardware Spectrum Xing Fan, Bronis R. de Supinski, Oliver Sinnen, Nasser Giacaman, 2019-08-26 This book constitutes the proceedings of the 15th International Workshop on Open MP, IWOMP 2019, held in Auckland, New Zealand, in September 2019. The 22 full papers presented in this volume were carefully reviewed and selected for inclusion in this book. The papers are organized in topical sections named: best paper; tools, accelerators, compilation, extensions, tasking, and using OpenMP. |
| fortran static code analysis: Computer Program Abstracts , 1974 |
| fortran static code analysis: Federal Software Exchange Catalog , 1986 |
| fortran static code analysis: Numerical Computing with Modern Fortran Richard J. Hanson, Tim Hopkins, 2013-11-21 The Fortran language standard has undergone significant upgrades in recent years (1990, 1995, 2003, and 2008). Numerical Computing with Modern Fortran illustrates many of these improvements through practical solutions to a number of scientific and engineering problems. Readers will discover techniques for modernizing algorithms written in Fortran; examples of Fortran interoperating with C or C++ programs, plus using the IEEE floating-point standard for efficiency; illustrations of parallel Fortran programming using coarrays, MPI, and OpenMP; and a supplementary website with downloadable source codes discussed in the book. |
| fortran static code analysis: Perl Best Practices Damian Conway, 2005-07-12 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 |
| fortran static code analysis: Argonne Computing Newsletter , 1988 |
| fortran static code analysis: Tools and Algorithms for the Construction and Analysis of Systems Dana Fisman, Grigore Rosu, 2022-03-29 This open access book constitutes the proceedings of the 28th International Conference on Tools and Algorithms for the Construction and Analysis of Systems, TACAS 2022, which was held during April 2-7, 2022, in Munich, Germany, as part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2022. The 46 full papers and 4 short papers presented in this volume were carefully reviewed and selected from 159 submissions. The proceedings also contain 16 tool papers of the affiliated competition SV-Comp and 1 paper consisting of the competition report. TACAS is a forum for researchers, developers, and users interested in rigorously based tools and algorithms for the construction and analysis of systems. The conference aims to bridge the gaps between different communities with this common interest and to support them in their quest to improve the utility, reliability, exibility, and efficiency of tools and algorithms for building computer-controlled systems. |
| fortran static code analysis: Program Solicitation , 1989 |
| fortran static code analysis: Federal Software Exchange Catalog , 1985 |
| fortran static code analysis: Software Design and Development: Concepts, Methodologies, Tools, and Applications Management Association, Information Resources, 2013-07-31 Innovative tools and techniques for the development and design of software systems are essential to the problem solving and planning of software solutions. Software Design and Development: Concepts, Methodologies, Tools, and Applications brings together the best practices of theory and implementation in the development of software systems. This reference source is essential for researchers, engineers, practitioners, and scholars seeking the latest knowledge on the techniques, applications, and methodologies for the design and development of software systems. |
| fortran static code analysis: Your Code as a Crime Scene Adam Tornhill, 2015-03-30 Jack the Ripper and legacy codebases have more in common than you'd think. Inspired by forensic psychology methods, you'll learn strategies to predict the future of your codebase, assess refactoring direction, and understand how your team influences the design. With its unique blend of forensic psychology and code analysis, this book arms you with the strategies you need, no matter what programming language you use. Software is a living entity that's constantly changing. To understand software systems, we need to know where they came from and how they evolved. By mining commit data and analyzing the history of your code, you can start fixes ahead of time to eliminate broken designs, maintenance issues, and team productivity bottlenecks. In this book, you'll learn forensic psychology techniques to successfully maintain your software. You'll create a geographic profile from your commit data to find hotspots, and apply temporal coupling concepts to uncover hidden relationships between unrelated areas in your code. You'll also measure the effectiveness of your code improvements. You'll learn how to apply these techniques on projects both large and small. For small projects, you'll get new insights into your design and how well the code fits your ideas. For large projects, you'll identify the good and the fragile parts. Large-scale development is also a social activity, and the team's dynamics influence code quality. That's why this book shows you how to uncover social biases when analyzing the evolution of your system. You'll use commit messages as eyewitness accounts to what is really happening in your code. Finally, you'll put it all together by tracking organizational problems in the code and finding out how to fix them. Come join the hunt for better code! What You Need: You need Java 6 and Python 2.7 to run the accompanying analysis tools. You also need Git to follow along with the examples. |
| fortran static code analysis: The Software Catalog , 1986 |
| fortran static code analysis: Tech Notes , 1985 |
| fortran static code analysis: Developing Statistical Software in Fortran 95 David R. Lemmon, Joseph L. Schafer, 2005-05-06 Many books teach computational statistics. Until now, however, none has shown how to write a good program. This book gives statisticians, biostatisticians and methodologically-oriented researchers the tools they need to develop high-quality statistical software. Topics include how to: Program in Fortran 95 using a pseudo object-oriented style Write accurate and efficient computational procedures Create console applications Build dynamic-link libraries (DLLs) and Windows-based software components Develop graphical user interfaces (GUIs) Through detailed examples, readers are shown how to call Fortran procedures from packages including Excel, SAS, SPSS, S-PLUS, R, and MATLAB. They are even given a tutorial on creating GUIs for Fortran computational code using Visual Basic.NET. This book is for those who want to learn how to create statistical applications quickly and effectively. Prior experience with a programming language such as Basic, Fortran or C is helpful but not required. More experienced programmers will learn new strategies to harness the power of modern Fortran and the object-oriented paradigm. This may serve as a supplementary text for a graduate course on statistical computing. From the reviews: This book should be read by all statisticians, engineers, and scientists who want to implement an algorithm as a computer program. The book is the best introduction to programming that I have ever read. I value it as one of my important reference books in my personal library. Melvin J. Hinich for Techonmetrics, November 2006 Overall, the book is well written and provides a reasonable introduction to the use of modern versions of Fortran for statistical computation. The real thrust of the book is building COM interfaces using Fortran, and it will no doubt be most useful to anyone who needs to build such interfaces. Journal of the American Statistical Association, June 2006 The book is well written and is divided into chapters and sections which are coherent...Overall the book seems like a good resource for someone that already knows some dialect of FORTRAN and wants to learn a bit about what is new in FORTRAN 95... Robert Gentleman for the Journal of Statistical Software, December 2006 |
| fortran static code analysis: Computer Design , 1985 |
| fortran static code analysis: Software Management News , 1992 |
| fortran static code analysis: Computerworld , 1992-01-06 For more than 40 years, Computerworld has been the leading source of technology news and information for IT influencers worldwide. Computerworld's award-winning Web site (Computerworld.com), twice-monthly publication, focused conference series and custom research form the hub of the world's largest global IT media network. |
| fortran static code analysis: Computerworld , 1992-01-06 For more than 40 years, Computerworld has been the leading source of technology news and information for IT influencers worldwide. Computerworld's award-winning Web site (Computerworld.com), twice-monthly publication, focused conference series and custom research form the hub of the world's largest global IT media network. |
| fortran static code analysis: Secure Programming with Static Analysis Brian Chess, Jacob West, 2007-06-29 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. |
| fortran static code analysis: Federal Software Exchange Catalog, 1986 United States. Office of Software Development and Information Technology, 1986 |
| fortran static code analysis: Computers, Control & Information Theory , 1986 |
| fortran static code analysis: Apple Developer Catalog , 1996 |
| fortran static code analysis: Proceedings , 1983 |
| fortran static code analysis: Federal Technology Catalog , 1984 |
Fortran - Wikipedia
Fortran (/ ˈ f ɔːr t r æ n /; formerly FORTRAN) is a third-generation, compiled, imperative programming language that is especially suited to numeric computation and scientific computing.
The Fortran Programming Language
Fortran is a natively parallel programming language with intuitive array-like syntax to communicate data between CPUs. You can run almost the same code on a single CPU, on a shared …
Fortran Wiki
Feb 3, 2018 · Compilers and other Tools for Fortran programming: Source code editors, Automatic documentation, Debugging tools, Preprocessors, Unit testing frameworks, and …
Fortran - IBM
From its creation in 1954 and its commercial release in 1957 as the progenitor of software, Fortran (short for formula translation) became the first computer language standard. It helped …
Welcome to the home of GNU Fortran - GCC, the GNU Compiler …
Oct 26, 2022 · The purpose of the GNU Fortran (GFortran) project is to develop the Fortran compiler front end and run-time libraries for GCC, the GNU Compiler Collection. GFortran …
FORTRAN Tutorial - Free Guide to Programming Fortran 90/95
Beginner’s guide to FORTRAN 90/95, no previous programming knowledge assumed - download worksheet or study online. Installing the compiler. Running your first program. Error handling.
Fortran Explained in 100 Seconds - MSN
1 day ago · FORTRAN (short for Formula Translation) is the world’s first high-level procedural programming language, created at IBM in the 1950s. It revolutionized coding by making it …
The FORTRAN Programming Language - University of Michigan
The name FORTRAN is an acronym for FORmula TRANslation, because it was designed to allow easy translation of math formulas into code. Often referred to as a scientific language, …
Fortran: Working, Applications, Pros and Cons - Spiceworks
Jun 22, 2023 · Fortran is defined as a general-purpose compiled language used to run complex mathematical calculations and data operations, especially in the academic community, due to …
Introduction to Fortran - GitHub Pages
Fortran is designed primarily for numerical calculations, and it has many built-in functions for mathematical operations. In the example triangle-area program, we use the basic functions: +, …
Fortran - Wikipedia
Fortran (/ ˈ f ɔːr t r æ n /; formerly FORTRAN) is a third-generation, compiled, imperative programming language that is especially suited to numeric computation and scientific computing.
The Fortran Programming Language
Fortran is a natively parallel programming language with intuitive array-like syntax to communicate data between CPUs. You can run almost the same code on a single CPU, on a shared …
Fortran Wiki
Feb 3, 2018 · Compilers and other Tools for Fortran programming: Source code editors, Automatic documentation, Debugging tools, Preprocessors, Unit testing frameworks, and …
Fortran - IBM
From its creation in 1954 and its commercial release in 1957 as the progenitor of software, Fortran (short for formula translation) became the first computer language standard. It helped …
Welcome to the home of GNU Fortran - GCC, the GNU Compiler …
Oct 26, 2022 · The purpose of the GNU Fortran (GFortran) project is to develop the Fortran compiler front end and run-time libraries for GCC, the GNU Compiler Collection. GFortran …
FORTRAN Tutorial - Free Guide to Programming Fortran 90/95
Beginner’s guide to FORTRAN 90/95, no previous programming knowledge assumed - download worksheet or study online. Installing the compiler. Running your first program. Error handling.
Fortran Explained in 100 Seconds - MSN
1 day ago · FORTRAN (short for Formula Translation) is the world’s first high-level procedural programming language, created at IBM in the 1950s. It revolutionized coding by making it …
The FORTRAN Programming Language - University of Michigan
The name FORTRAN is an acronym for FORmula TRANslation, because it was designed to allow easy translation of math formulas into code. Often referred to as a scientific language, …
Fortran: Working, Applications, Pros and Cons - Spiceworks
Jun 22, 2023 · Fortran is defined as a general-purpose compiled language used to run complex mathematical calculations and data operations, especially in the academic community, due to …
Introduction to Fortran - GitHub Pages
Fortran is designed primarily for numerical calculations, and it has many built-in functions for mathematical operations. In the example triangle-area program, we use the basic functions: +, …
