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Code Reviews

Return to "Looks Good to Me" - Constructive code reviews by Adrienne Braganza

Snippet from Wikipedia: Code review

Code review (sometimes referred to as peer review) is a software quality assurance activity in which one or more people check a program, mainly by viewing and reading parts of its source code, either after implementation or as an interruption of implementation. At least one of the persons must not have authored the code. The persons performing the checking, excluding the author, are called "reviewers".

Although direct discovery of quality problems is often the main goal, code reviews are usually performed to reach a combination of goals:

  • Better code quality – Improve internal code quality and maintainability (such as readability, uniformity, and understandability)
  • Finding defects – Improve quality regarding external aspects, especially correctness, but also find issues such as performance problems, security vulnerabilities, and injected malware
  • Learning/Knowledge transfer – Help transfer codebase knowledge, solution approaches, and quality expectations, both to the reviewers and the author
  • Increase sense of mutual responsibility – Increase a sense of collective code ownership and solidarity
  • Finding better solutions – Generate ideas for new and better solutions and ideas that transcend the specific code at hand
  • Complying to QA guidelines, ISO/IEC standards – Code reviews are mandatory in some contexts, such as air traffic software and safety-critical software

This definition of code review distinguishes it from related software quality assurance techniques, such as static code analysis, self checks, testing, and pair programming. In static code analysis the main checking is performed by an automated program, in self checks only the author checks the code, in testing the execution of the code is an integral part, and pair programming is performed continuously during implementation and not as a separate step.

Programming: Programming languages

Variables and Data Types, Control Structures, Functions and Methods, Object-Oriented Programming (OOP), Functional Programming, Procedural Programming, Event-Driven Programming, Concurrent and Parallel Programming, Error Handling and Debugging, Memory Management, Recursion, Algorithms, Data Structures, Design Patterns, Software Development Life Cycle (SDLC), Version Control Systems, Database Programming, Web Development, Mobile App Development, Game Development, Machine Learning and AI Programming, Network Programming, API Development, Security in Programming, Testing and Quality Assurance, User Interface and User Experience Design, Scripting Languages, Assembly Language, High-Level Programming Languages, Low-Level Programming Languages, Compiler Design, Interpreter Design, Garbage Collection, Regular Expressions, Graphical User Interface (GUI) Programming, Command Line Interface Development, Cross-Platform Development, Cloud Computing in Programming, Blockchain Programming, IoT Programming, Embedded Systems Programming, Microservices Architecture, Serverless Architecture, Big Data Technologies, Data Visualization, Data Mining and Analysis, Natural Language Processing (NLP), Computer Graphics Programming, Virtual Reality (VR) Development, Augmented Reality (AR) Development, Cryptography in Programming, Distributed Systems, Real-Time Systems Programming, Operating System Development, Compiler and Interpreter Development, Quantum Computing, Software Project Management, Agile Methodologies, DevOps Practices, Continuous Integration and Continuous Deployment (CI/CD), Software Maintenance and Evolution, Software Licensing, Open Source Development, Accessibility in Software Development, Internationalization and Localization, Performance Optimization, Scalability Techniques, Code Refactoring, Design Principles, API Design, Data Modeling, Software Documentation, Peer-to-Peer Networking, Socket Programming, Front-End Development, Back-End Development, Full Stack Development, Secure Coding Practices, Code Reviews, Unit Testing, Integration Testing, System Testing, Functional Programming Paradigms, Imperative Programming, Declarative Programming, Software Architecture, Cloud-Native Development, Infrastructure as Code (IaC), Ethical Hacking for Developers, Artificial Intelligence Ethics in Programming, Software Compliance and Standards, Software Auditing, Debugging Tools and Techniques, Code Optimization Techniques, Software Deployment Strategies, End-User Computing, Computational Thinking, Programming Logic and Techniques, Advanced Data Management

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code_reviews.txt · Last modified: 2024/03/14 18:41 by 127.0.0.1