Code Generation Analysis Tools And Testing For Quality
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Code Generation, Analysis Tools, and Testing for Quality
Author: Alexandre Peixoto de Queirós, Ricardo
language: en
Publisher: IGI Global
Release Date: 2019-01-11
Despite the advances that have been made in programming, there is still a lack of sufficient methods for quality control. While code standards try to force programmers to follow a specific set of rules, few tools exist that really deal with automatic refactoring of this code, and evaluation of the coverage of these tests is still a challenge. Code Generation, Analysis Tools, and Testing for Quality is an essential reference source that discusses the generation and writing of computer programming and methods of quality control such as analysis and testing. Featuring research on topics such as programming languages, quality assessment, and automated development, this book is ideally designed for academicians, practitioners, computer science teachers, enterprise developers, and researchers seeking coverage on code auditing strategies and methods.
Code Generation, Analysis Tools, and Testing for Quality
Author: Ricardo Queiros
language: en
Publisher: Engineering Science Reference
Release Date: 2019
Code Generation, Analysis Tools, and Testing for Quality is an essential reference source that discusses the generation and writing of computer programming and methods of quality control such as analysis and testing.
Code Generation Techniques and Applications
"Code Generation Techniques and Applications" "Code Generation Techniques and Applications" is a comprehensive guide that explores the theoretical underpinnings, practical methodologies, and emerging innovations shaping the landscape of automatic code generation. Beginning with foundational topics such as automata theory, compiler construction, and formal verification, the book elucidates how core computer science concepts inform robust and correct generative systems. Readers are introduced to a rich taxonomy of code generation strategies, from template- and model-driven engineering to programmatic metaprogramming and the burgeoning field of AI-assisted program synthesis. Detailed chapters examine a variety of paradigms and toolchains, illustrating the construction and integration of template engines, the design and deployment of domain-specific languages (DSLs), and the automation of complex software artifacts through model transformations and annotation processors. The text offers in-depth treatment of software quality, maintainability, scalability, and security within generated codebases—vital considerations for professionals working in fast-paced development and DevOps environments. Annotated case studies from industry illuminate real-world applications, covering scenarios from scalable backends and UI code generation to legacy system modernization. Concluding with cutting-edge research directions, "Code Generation Techniques and Applications" surveys topics like composable and self-evolving generators, automated compliance, and the ethical and societal implications of large-scale automation. Ideal for software engineers, researchers, and advanced students, this book provides both foundational knowledge and forward-looking insights into the fastest-growing domain in software engineering, arming readers to harness, evaluate, and innovate with the next generation of code generation technologies.