software outsourcing development terms
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A-Z Glossary of Software Development Outsourcing Terms

Archers
December 28, 2024 0 Comments

A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

a

  1. Agile Development: A flexible software development methodology focusing on iterative progress and collaboration.
  2. API (Application Programming Interface): A set of rules that allows different software applications to communicate with each other.
  3. Automation Testing: A process where software tools execute tests automatically, saving time and reducing errors.
  4. Application Maintenance: Ongoing support and updates to ensure software remains efficient and relevant.
  5. Availability: The percentage of time a system is operational and accessible.
  6. Artifact: Any tangible deliverable from the software development process, such as design documents or code.
  7. Analytics: Tools and techniques used to gather and analyze data to improve decision-making.
  8. Application Scaling: Adjusting resources to handle increased or decreased workloads efficiently.
  9. Asynchronous Communication: Communication that does not require real-time interaction, such as emails or message queues.
  10. Agile Manifesto: The guiding principles of Agile software development focusing on customer collaboration and adaptability.
  11. Acceptance Criteria: Specific conditions that a software feature must satisfy to be accepted.
  12. Algorithm: A step-by-step procedure or formula for solving a problem.
  13. Activity Diagram: A graphical representation of workflows in a system.
  14. Audit Trail: A record of changes or actions performed within a system.
  15. Application Portfolio Management: Managing and optimizing a company’s collection of software applications.

b

  1. Backlog: A prioritized list of tasks or features waiting to be developed.
  2. Benchmarking: Comparing a software process or product to industry standards to measure quality.
  3. Bug Tracking: Monitoring and managing software defects or issues.
  4. Business Process Outsourcing (BPO): Delegating business tasks to external providers, often for cost savings.
  5. Burn Rate: The rate at which a project consumes resources like money or time.
  6. Blockchain: A decentralized, secure, and transparent technology for data storage and transactions.
  7. Beta Testing: Releasing software to a limited audience to identify issues before a full launch.
  8. Bandwidth: The maximum data transfer capacity of a network or system.
  9. Burndown Chart: A visual tool in Agile to track the amount of work remaining versus time.
  10. Build Automation: Tools that automate the process of compiling and deploying software.
  11. Business Logic: The rules that define how a system solves specific business problems.
  12. Budgeting: Allocating financial resources to ensure the successful completion of a project.
  13. Business Intelligence: Tools and processes that analyze data to support strategic decisions.
  14. Bootstrap: A front-end framework for developing responsive websites and applications.
  15. Bug Fix: Correcting errors or issues in software.

c

  1. Cloud Computing: Delivering computing resources like storage and processing over the internet.
  2. Cost-Benefit Analysis: Evaluating the financial advantages and disadvantages of outsourcing.
  3. Custom Software: Software developed to meet specific requirements of a business.
  4. Codebase: The complete source code for a software project.
  5. Continuous Integration (CI): Frequently integrating code changes into a shared repository to detect errors early.
  6. Cybersecurity: Protecting systems, networks, and data from cyber threats.
  7. Configuration Management: Managing changes in software to ensure consistency.
  8. Containerization: Packaging software with its dependencies in a single container for portability.
  9. Cross-Platform Development: Creating software that runs on multiple operating systems.
  10. Customer Relationship Management (CRM): Software for managing interactions with customers.
  11. Code Review: Evaluating source code to identify and fix issues.
  12. Change Management: Controlling and adapting to software modifications.
  13. Compatibility Testing: Ensuring software works on different devices, operating systems, or browsers.
  14. Content Delivery Network (CDN): A network of servers that deliver content faster based on the user’s location.
  15. Critical Path: The sequence of tasks that determine the minimum project duration.

d

  1. Dedicated Team: A team of developers assigned exclusively to a specific client or project.
  2. DevOps: Practices combining development and IT operations to improve delivery speed.
  3. Data Migration: Moving data from one system to another.
  4. Domain Expertise: Specialized knowledge in a particular business area.
  5. Deliverables: Tangible or intangible outputs of a project.
  6. Data Warehouse: A system for storing and analyzing large volumes of data.
  7. Debugging: Identifying and fixing errors in software.
  8. Dependency Injection: A design pattern to manage software dependencies.
  9. Digital Transformation: Using technology to improve business processes and outcomes.
  10. Distributed Systems: Systems with components spread across multiple locations.
  11. Dynamic Testing: Testing software during execution.
  12. Data Lake: A repository for storing raw, unstructured data.
  13. Disaster Recovery: A plan to restore systems and data after a failure.
  14. Deployment Pipeline: A process to deliver updates from development to production.
  15. Documentation: Written details about a software application for users and developers.

e

  1. Engagement Model: The structure of collaboration between a client and an outsourcing partner (e.g., fixed-price or dedicated team).
  2. Enterprise Software: Applications designed to support business processes at scale, like ERP or CRM systems.
  3. Encryption: Securing data by converting it into a coded format to prevent unauthorized access.
  4. End-to-End Development: Managing all stages of software development, from ideation to deployment.
  5. Error Handling: Techniques used in programming to anticipate and address software errors.
  6. E-commerce Solutions: Software enabling online buying, selling, and payment processing.
  7. Edge Computing: Processing data near its source instead of relying on centralized data centers.
  8. Exploratory Testing: A hands-on approach where testers explore software functionality without predefined test cases.
  9. Exception Handling: Mechanisms to manage errors or exceptional cases in software execution.
  10. Elasticity: The ability of a system to scale resources up or down based on demand.
  11. External API: An API exposed to external developers or users for integration with other applications.
  12. Event-Driven Architecture: A design pattern where system changes trigger actions or events.
  13. Execution Time: The time taken by a program to complete its operations.
  14. Ecosystem: The interconnected software, tools, and processes used to build and run applications.
  15. Expert Systems: AI-based systems that simulate human expertise to solve complex problems.

f

  1. Front-End Development: The creation of user interfaces and experiences in web or mobile applications.
  2. Framework: A reusable set of tools and libraries that aid in software development (e.g., Angular, React).
  3. Functionality Testing: Validating that all features of an application work as expected.
  4. Feature Creep: Adding unnecessary features to software, often leading to project delays.
  5. Full-Stack Development: Developing both the front-end (UI) and back-end (server-side) of applications.
  6. Fault Tolerance: The ability of a system to continue functioning even when components fail.
  7. File Transfer Protocol (FTP): A standard protocol for transferring files over a network.
  8. Feature Toggles: A technique to enable or disable features in software without deploying new code.
  9. Frequent Releases: Regularly updating software with new features or fixes to maintain relevance.
  10. Functional Requirements: Specifications of what a system should do, such as features or behavior.
  11. Feasibility Study: An analysis of the technical and financial viability of a project.
  12. Flat Hierarchy: A project management approach with minimal levels of management, promoting collaboration.
  13. File Versioning: Keeping multiple versions of a file to track changes over time.
  14. Framework Agreement: A broad contract governing future detailed agreements.
  15. Feedback Loop: The process of collecting user feedback to improve software.

g

  1. Git: A distributed version control system for tracking changes in source code.
  2. GraphQL: A query language for APIs, offering flexibility in retrieving data.
  3. Garbage Collection: Automatic memory management in programming languages like Java.
  4. Greenfield Development: Building software from scratch without any constraints from existing systems.
  5. GDPR Compliance: Adhering to the General Data Protection Regulation to protect user data.
  6. Gantt Chart: A project management tool that visualizes tasks against time.
  7. Global Delivery Model: Distributing project tasks across various geographic locations for efficiency.
  8. Groupware: Software designed to facilitate collaboration, such as shared calendars or document editors.
  9. Geolocation Services: Software that determines the location of a device or user.
  10. Governance: The framework for managing and ensuring the quality of outsourcing processes.
  11. Granularity: The level of detail or depth in data or processes.
  12. GUI (Graphical User Interface): The visual interface that allows users to interact with software.
  13. Growth Hacking: Innovative methods for achieving rapid growth in user adoption or revenue.
  14. GitHub Actions: Automation tools for CI/CD pipelines integrated within GitHub.
  15. Gap Analysis: Identifying the difference between the current state and the desired state of a system.

h

  1. Hybrid Model: A combination of onshore and offshore outsourcing approaches.
  2. Hosting: Providing server space for an application to run and be accessible online.
  3. Help Desk Support: Customer support to resolve technical or software-related issues.
  4. High Availability (HA): A system’s ability to remain operational and accessible for extended periods.
  5. Hotfix: A quick, often critical update to fix software issues.
  6. Horizontal Scaling: Adding more machines to handle increased workload.
  7. Human-Computer Interaction (HCI): The study of how users interact with computers and software.
  8. Health Monitoring: Tools or processes to track the performance of software or systems.
  9. Heuristic Evaluation: Assessing a system’s usability based on experience and guidelines.
  10. Hashing: Converting data into a fixed-size string to ensure data integrity.
  11. Hibernate Framework: A Java framework for database interactions using Object-Relational Mapping (ORM).
  12. High-Level Architecture: An overview of a system’s components and their interactions.
  13. Handoff: The transfer of project information or responsibilities from one team to another.
  14. Hardware Virtualization: Running multiple operating systems on a single physical machine.
  15. Hypervisor: Software that creates and manages virtual machines.

i

  1. Integration Testing: Testing how different modules or services work together in an application.
  2. IT Outsourcing: Contracting IT-related tasks to external vendors.
  3. IoT (Internet of Things): Interconnected devices that communicate and exchange data over the internet.
  4. Intellectual Property (IP): Legal rights to creations, such as software or code.
  5. Infrastructure as a Service (IaaS): Cloud-based services providing virtualized computing resources.
  6. Incremental Development: Building software in small, manageable parts or increments.
  7. Iteration: Repeating a process to refine and improve software.
  8. Incident Management: The process of identifying, analyzing, and resolving software issues.
  9. Interface Design: Designing the layout and elements of a system’s user interface.
  10. Immutable Data Structures: Data structures that cannot be modified after creation.
  11. Input Validation: Ensuring user inputs are correct and secure.
  12. Identity Management: Controlling access to systems based on user identities.
  13. Information Architecture: Organizing and structuring information in a system.
  14. Innovation Labs: Dedicated teams for exploring new technologies and solutions.
  15. ISO Standards: International standards for ensuring software quality and safety.

j

  1. JavaScript: A programming language for creating dynamic and interactive web applications.
  2. JUnit: A testing framework for unit testing in Java.
  3. Job Scheduling: Managing tasks to ensure they run in a specific order or timeframe.
  4. Joint Venture: A partnership between two or more companies for a specific project.
  5. JIRA: A project management tool commonly used for Agile development.
  6. JSON (JavaScript Object Notation): A lightweight format for data exchange.
  7. Just-In-Time Compilation: A technique that compiles code during execution for better performance.
  8. Jenkins: An open-source automation server used for CI/CD pipelines.
  9. JavaBeans: Reusable Java components that follow a specific design pattern.
  10. Java Swing: A Java library for creating graphical user interfaces.
  11. JSP (Java Server Pages): Technology for creating dynamic web pages with Java.
  12. Javadoc: A documentation generator for Java code.
  13. JMeter: A tool for performance and load testing applications.
  14. Java EE (Enterprise Edition): A platform for developing enterprise-level Java applications.
  15. Job Queue: A data structure that manages tasks waiting to be executed.

k

  1. Kanban: A workflow management method focused on visualizing and optimizing tasks.
  2. Knowledge Transfer: Sharing project knowledge between teams or stakeholders.
  3. Key Performance Indicator (KPI): Metrics used to measure the success of a project or process.
  4. Kick-Off Meeting: The initial meeting to align on project goals and expectations.
  5. Kubernetes: A system for automating the deployment, scaling, and management of containerized applications.
  6. Kernel: The core component of an operating system, managing hardware and software interactions.
  7. KYC (Know Your Customer): A process for verifying the identity of clients.
  8. Kafka: A distributed event-streaming platform for high-throughput messaging.
  9. Key Pair Encryption: A security mechanism using public and private keys for encryption.
  10. Keep-Alive Protocol: A method to maintain a connection between client and server.
  11. Keyword Optimization: The process of selecting and refining keywords for SEO or software searchability.
  12. Knowledge Base: A centralized repository of project or system-related information.
  13. Kubernetes Pods: The smallest deployable units in Kubernetes, containing one or more containers.
  14. Kick-Off Phase: The planning stage of a project.
  15. Kernel Panic: A critical system error that halts the operating system.

l

  1. Legacy Systems: Older software or hardware systems still in use but often outdated.
  2. Load Testing: Measuring how a system performs under heavy usage.
  3. Low-Code Development: Developing applications with minimal coding using visual tools.
  4. Licensing: Granting legal permission to use software or intellectual property.
  5. Localization: Adapting software for specific regions or languages.
  6. LAMP Stack: A set of open-source software (Linux, Apache, MySQL, PHP) for web development.
  7. Latency: The delay in data transfer between systems.
  8. Log Management: Collecting and analyzing logs to monitor system performance.
  9. Linear Scalability: A system’s ability to handle increased workload proportionally.
  10. Lightweight Processes: Processes designed to use minimal system resources.
  11. Long-Term Support (LTS): A version of software supported for an extended period.
  12. Load Balancer: A tool that distributes network traffic across multiple servers.
  13. Language Translation API: APIs like Google Translate for integrating translation features.
  14. Library: A collection of pre-written code that can be reused in applications.
  15. Log Analysis: The process of examining log files for insights or troubleshooting.

m

  1. MVP (Minimum Viable Product): A basic version of software with core features to validate an idea.
  2. Microservices: A software architecture style where applications are built as small, independent services.
  3. Migration Strategy: A plan for transferring systems, data, or applications to a new environment.
  4. Milestones: Key stages or achievements in a project timeline.
  5. Maintenance Contract: An agreement for ongoing support and updates for software.
  6. Middleware: Software that connects different applications or systems.
  7. Multitenancy: A single application serving multiple customers (tenants) with data isolation.
  8. Manual Testing: Testing software manually without automated tools.
  9. Mockups: Visual representations of a software application’s design.
  10. Managed Services: Outsourcing IT services and management to a third party.
  11. Message Queues: Tools for asynchronous communication between software components.
  12. Metrics: Measurements used to assess project or system performance.
  13. Metadata: Data that describes other data, such as file properties.
  14. Model-View-Controller (MVC): A design pattern for organizing code in applications.
  15. Market Analysis: Research to understand customer needs and market trends for software.

n

  1. Nearshore Outsourcing: Delegating tasks to providers in neighboring countries.
  2. Network Security: Protecting systems and data from unauthorized access.
  3. Non-Disclosure Agreement (NDA): A legal document to protect sensitive information.
  4. NoSQL Database: Databases designed for unstructured or semi-structured data.
  5. Normalization: Organizing database data to reduce redundancy and improve efficiency.
  6. Namespace: A container that holds a set of identifiers to avoid name conflicts.
  7. Native App Development: Creating applications specifically for a particular platform (e.g., iOS, Android).
  8. Network Topology: The arrangement of devices and connections in a network.
  9. Neural Networks: A type of AI modeled after the human brain for tasks like image recognition.
  10. Non-Functional Requirements: System attributes like performance, scalability, and security.
  11. Node.js: A JavaScript runtime for building scalable network applications.
  12. NPM (Node Package Manager): A package manager for JavaScript programming.
  13. Null Pointer Exception: A runtime error caused by accessing an object that hasn’t been initialized.
  14. Network Monitoring: Tools and practices to oversee network performance and uptime.
  15. Notification Service: A system for sending alerts or updates to users or applications.

o

  1. Offshore Outsourcing: Contracting work to providers in distant countries.
  2. Open Source Software: Software with publicly available source code for use and modification.
  3. Optimization: Improving the performance, efficiency, or usability of software.
  4. Operational Costs: Expenses related to maintaining and running a project.
  5. Onboarding: Integrating new team members or users into a system.
  6. Object-Oriented Programming (OOP): A programming paradigm based on objects containing data and methods.
  7. Outsourcing Risks: Potential challenges in outsourcing, such as communication gaps or delays.
  8. Online Collaboration Tools: Platforms like Slack or Trello for remote teamwork.
  9. Orchestration: Coordinating tasks or services in a system to achieve desired outcomes.
  10. Open API: APIs that are publicly available for integration with other software.
  11. Operational Metrics: Measures of system performance, such as response time or uptime.
  12. Omni-Channel Solutions: Software that provides consistent customer experiences across all channels.
  13. Object Storage: A storage architecture for managing data as objects.
  14. Off-the-Shelf Software: Pre-built software ready for immediate use.
  15. Outcome-Based Model: An outsourcing model focused on achieving specific results.

p

  1. Prototype: An early model of software used to test and validate ideas.
  2. Project Scope: A document defining the boundaries and deliverables of a project.
  3. Penetration Testing: Simulating cyberattacks to identify vulnerabilities in a system.
  4. Predictive Analytics: Using data to make predictions about future trends or behaviors.
  5. Product Owner: The individual responsible for the vision and success of a software product.
  6. Platform as a Service (PaaS): A cloud service for developing and deploying applications.
  7. Patch Management: The process of applying software updates to fix issues or enhance features.
  8. Peer Review: Evaluating work by colleagues to ensure quality and accuracy.
  9. Proof of Concept (POC): Demonstrating the feasibility of an idea or technology.
  10. Performance Bottleneck: A limiting factor that affects system speed or efficiency.
  11. Pair Programming: Two developers working together on the same task to improve quality.
  12. Python Frameworks: Tools like Django or Flask used for Python development.
  13. Process Automation: Using technology to perform repetitive tasks automatically.
  14. Penetration Tester: A security expert who identifies vulnerabilities through testing.
  15. Performance Metrics: Quantitative measures of software efficiency or speed.

q

  1. Quality Assurance (QA): Ensuring software meets quality standards through testing and evaluation.
  2. Query Language: Tools like SQL used to interact with databases.
  3. Queue Management: Managing tasks or requests in a system to optimize processing.
  4. Quick Wins: Small, impactful improvements that provide immediate benefits.
  5. Quality Gates: Checkpoints in a project to ensure it meets predefined quality criteria.
  6. Quantitative Analysis: Using numerical data to evaluate project performance.
  7. Query Optimization: Techniques to improve database query performance.
  8. Quality Standards: Benchmarks to measure software quality, such as ISO 9001.
  9. Queue Length: The number of tasks waiting to be processed in a system.
  10. Query Execution Plan: A detailed plan for executing a database query.
  11. Quantum Computing: A cutting-edge technology using quantum mechanics for processing.
  12. Quality Control: Monitoring processes to maintain quality in software development.
  13. Quick Response: The speed of a system or team to handle requests.
  14. Query Parser: A tool for analyzing and interpreting database queries.
  15. Quota Management: Setting limits on resource usage in a system.

r

  1. Regression Testing: Verifying that new code changes don’t adversely affect existing functionalities.
  2. Requirement Gathering: Collecting client needs to define project scope and deliverables.
  3. Remote Team: A group of professionals working from different locations.
  4. Roadmap: A strategic plan that outlines the timeline and milestones for a project.
  5. Release Management: Planning, scheduling, and controlling the deployment of software versions.
  6. Resilience: A system’s ability to recover quickly from failures or disruptions.
  7. Resource Allocation: Distributing resources like time, personnel, and tools efficiently.
  8. Risk Assessment: Identifying and evaluating potential risks in a project.
  9. Refactoring: Improving existing code without changing its external behavior.
  10. Rapid Application Development (RAD): A development methodology emphasizing speed and adaptability.
  11. Real-Time Processing: Processing data instantly as it is generated.
  12. Reliability Testing: Ensuring a system consistently performs as expected under defined conditions.
  13. Role-Based Access Control (RBAC): Managing system access based on user roles.
  14. Reusable Components: Code or modules designed for use in multiple applications.
  15. Repository: A storage location for software code and related files.

s

  1. Scrum: An Agile framework for managing and completing complex projects.
  2. Sprint: A time-boxed period in Agile during which a specific set of tasks is completed.
  3. Software as a Service (SaaS): Software hosted in the cloud and accessed via a browser.
  4. Stakeholder Management: Handling relationships with individuals or groups involved in a project.
  5. Scalability: The ability of a system to handle increased workload by adding resources.
  6. Static Code Analysis: Analyzing source code for errors without executing the program.
  7. System Integration: Combining multiple systems or components into one cohesive unit.
  8. Software Development Life Cycle (SDLC): A process for planning, developing, and maintaining software.
  9. Source Code Management: Tracking and managing changes to source code over time.
  10. Stress Testing: Evaluating system performance under extreme conditions.
  11. Service Level Agreement (SLA): A contract defining service expectations and responsibilities.
  12. Scrum Master: A facilitator ensuring the Scrum team adheres to Agile principles.
  13. Security Audit: A thorough evaluation of system security measures and vulnerabilities.
  14. Story Points: A measure of effort required to complete a task in Agile.
  15. Support Contract: An agreement for ongoing technical support and issue resolution.

t

  1. Technical Debt: The cost of reworking code due to shortcuts taken during development.
  2. Test Automation: Automating repetitive test cases to save time and improve accuracy.
  3. Time and Material (T&M): A pricing model based on the time and resources used.
  4. Third-Party Integration: Incorporating external systems or APIs into an application.
  5. Troubleshooting: Diagnosing and resolving software problems.
  6. Test Plan: A detailed document outlining testing strategies, objectives, and resources.
  7. Threat Modeling: Identifying and prioritizing security threats to mitigate risks.
  8. Toolchain: A set of tools used for software development and deployment.
  9. Transaction Rollback: Reverting a database to its previous state in case of an error.
  10. Time Tracking: Monitoring and recording the time spent on project tasks.
  11. Test-Driven Development (TDD): Writing tests before writing code to ensure functionality.
  12. Tokenization: Replacing sensitive data with non-sensitive equivalents for security.
  13. Tiered Support: A multi-level customer support system.
  14. Task Management: Planning, tracking, and managing tasks to ensure timely completion.
  15. Traceability: Tracking the origin and changes of software requirements throughout the project.

u

  1. Unit Testing: Testing individual components or functions of an application.
  2. User Acceptance Testing (UAT): Ensuring the software meets user requirements before release.
  3. User Interface (UI): The visual and interactive elements of an application.
  4. Usability Testing: Assessing how easily users can interact with software.
  5. Uptime: The amount of time a system or service is operational.
  6. Use Case: A description of how users interact with a system to achieve a goal.
  7. Universal Design: Designing software to be usable by as many people as possible.
  8. Upgrade Path: A plan for updating software with minimal disruption.
  9. UI Mockup: A visual representation of a user interface design.
  10. User Stories: Short descriptions of features from a user’s perspective in Agile.
  11. Unit of Work: A design pattern to group related operations in a transaction.
  12. User Role: Different access levels or permissions assigned to users.
  13. UX (User Experience): How users interact with and perceive a software application.
  14. Unified Modeling Language (UML): A standardized visual language for designing software systems.
  15. Unique Identifier: A unique value assigned to distinguish one entity from another.

v

  1. Version Control: Systems for managing and tracking changes to code (e.g., Git).
  2. Virtual Machine (VM): Software emulating physical hardware to run applications.
  3. Verification: Ensuring software meets specified requirements.
  4. Validation: Ensuring software fulfills its intended purpose.
  5. Vendor Management: Handling relationships with outsourcing providers.
  6. Vulnerability Assessment: Identifying and evaluating potential security flaws.
  7. Virtual Private Network (VPN): A secure network connection over the internet.
  8. Vertical Scaling: Adding resources to a single server to improve performance.
  9. Versioning: Managing multiple iterations of software to track changes.
  10. Value Stream Mapping: Analyzing the flow of information and materials in a process.
  11. Virtualization: Creating virtual versions of hardware or resources.
  12. Visual Studio: A popular IDE for software development.
  13. Voice Recognition: Software interpreting spoken commands.
  14. Value Proposition: The benefits software offers to its users.
  15. Vision Statement: A document outlining the goals and purpose of software.

W

  1. Wireframe: A blueprint for designing user interfaces.
  2. Work Breakdown Structure (WBS): Dividing a project into manageable tasks.
  3. Workflow Automation: Using technology to streamline repetitive processes.
  4. Web Services: Software enabling communication between applications over the web.
  5. Web Application Firewall (WAF): Security measures for protecting web applications.
  6. Waterfall Model: A linear software development methodology.
  7. Widgets: Small software applications for specific tasks.
  8. White-Box Testing: Testing internal structures of software rather than just inputs and outputs.
  9. Workload Balancing: Distributing tasks evenly among resources.
  10. Web Accessibility: Designing software usable by people with disabilities.
  11. Windows Containers: Isolated environments for running Windows applications.
  12. Wireframe Prototype: A basic design model of software without detailed functionality.
  13. WYSIWYG (What You See Is What You Get): A design tool showing real-time outputs.
  14. Webhooks: Automated messages sent from apps when events occur.
  15. Wide Area Network (WAN): A network spanning large geographical areas.

x

  1. XML (eXtensible Markup Language): A format for structuring and storing data.
  2. XPath: A query language for navigating XML documents.
  3. XaaS (Everything as a Service): Cloud-based services offering a wide range of functionalities.

y

  1. YAML (YAML Ain’t Markup Language): A data serialization language for configurations.
  2. Yield Statement: In programming, it pauses function execution and returns a value.

z

  1. Zero Downtime Deployment: Updating software without disrupting its operation.
  2. Z-Index: A CSS property controlling stacking order of elements.
  3. Zero Trust Security: A framework requiring strict identity verification for access.
  4. Zone of Proximal Development: A concept in Agile about optimal learning conditions.
  5. Zoomable UI: Interfaces allowing users to zoom in/out for detail.
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