Software System Architectural Model
A Software System Architectural Model is a software design pattern that is an architectural model to facilitate the creation of software system architectures (for software-based systems or Computing Systems). It serves as a fundamental blueprint for organizing software system components and establishing software system structural relationships.
- AKA: Software Architecture Pattern, Software System Architectural Pattern, Architectural Pattern (Computer Science), System Architecture Model.
- Context:
- It can typically support Software System Quality Attributes through software system architectural decisions for software system maintainability, software system extensibility, software system scalability, and software system performance.
- It can typically structure Software System Components through software system architectural layers and software system communication patterns.
- It can typically manage Software System Complexity through software system abstraction levels and software system component interactions.
- It can typically document Software System Architectural Decisions through software system standardized notations and software system design visualizations.
- It can typically implement Software System Integration through software system interface definitions and software system component coupling.
- It can typically ensure Software System Quality through software system architecture review and software system quality assessment.
- It can typically guide Software System Evolution through software system architectural roadmaps and software system migration strategy.
- It can typically shape and reflect Software System Organizational Structure through software system team topology, software system responsibility assignment, and software system communication flow patterns.
- It can typically support Software System Evolvability through software system architectural resilience, software system modular design principles, and software system continuous refactoring strategy.
- It can typically encode Software System Sociotechnical Constraints through software system dependency management, software system tooling ecosystem, and software system process imposition patterns.
- It can typically influence Software System Governance Models through software system decision authority distribution and software system architectural boundary.
- It can typically guide Software System Architectural Evolution through software system strangler pattern, software system incremental migration, and software system hybrid architecture transition.
- It can typically balance Software System Quality Attribute Trade-offs through software system architectural decision evaluation and software system quality attribute prioritization.
- It can typically combine Software System Architectural Styles through software system hybrid patterns and software system composite architectures.
- It can typically leverage Software System Technology Enablers through software system platform selection, software system container orchestration, and software system development toolchain.
- It can typically align with Software System Design Methodology through software system domain-driven design, software system model-driven architecture, and software system agile architecture practices.
- It can typically address Software System Integration Concerns through software system interoperability standards, software system integration patterns, and software system compatibility mechanisms.
- It can typically evolve over Software System Architectural Eras through software system technological advancements and software system paradigm shifts.
- ...
- It can often facilitate Software System Evolution through software system architectural flexibility and software system design adaptations.
- It can often enable Software System Component Communication through software system message passing and software system event handling.
- It can often support Software System Deployment through software system infrastructure patterns and strategies.
- It can often maintain Software System Reliability through software system fault tolerance and software system redundancy patterns.
- It can often optimize Software System Performance through software system resource management and software system load distribution.
- It can often enhance Software System Security through software system security patterns and software system access control.
- It can often improve Software System Testability through software system test architecture and software system quality verification.
- It can often affect Software System Team Autonomy through software system architectural constraint and software system development practice.
- It can often establish Software System Cross-functional Collaboration through software system interface contract and software system shared responsibility model.
- It can often be created through Software System Design Tasks performed by software system development teams.
- It can often be documented in Information System Architecture Documents for software system stakeholder communication.
- It can often be analyzed via Computing System Analysis Tasks to evaluate software system quality attributes.
- ...
- It can range from being a Centralized Software System Architectural Model to being a Distributed Software System Architectural Model or a Federated Software System Architectural Model, depending on its software system distribution.
- It can range from being a Backend Software System Architectural Model to being a Frontend Software System Architectural Model, depending on its software system layer.
- It can range from being a Monolithic Software System Architectural Model to being a Microservices Software System Architectural Model, depending on its software system modularity.
- It can range from being a Traditional Software System Architectural Model to being an AI-Native Software System Architectural Model, depending on its software system computational paradigm.
- It can range from being a Simple Layer Software System Architectural Model to being a Complex Layer Software System Architectural Model, depending on its software system layer interdependency.
- It can range from being a Static Software System Architectural Model to being a Dynamic Software System Architectural Model, depending on its software system runtime adaptability.
- It can range from being a Core Software System Architectural Model to being an Extended Software System Architectural Model, depending on its software system architectural coverage.
- It can range from being a Team-Aligned Software System Architectural Model to being a Domain-Aligned Software System Architectural Model, depending on its software system organizational alignment strategy.
- It can range from being a Developer-Centric Software System Architectural Model to being an Operations-Centric Software System Architectural Model, depending on its software system operational focus.
- It can range from being a Low-Governance Software System Architectural Model to being a High-Governance Software System Architectural Model, depending on its software system control mechanism.
- It can range from being a Transitional Software System Architectural Model to being a Target Software System Architectural Model, depending on its software system architectural evolution stage.
- It can range from being a Performance-Optimized Software System Architectural Model to being a Flexibility-Optimized Software System Architectural Model, depending on its software system quality attribute priority.
- It can range from being a Domain-Agnostic Software System Architectural Model to being a Domain-Specific Software System Architectural Model, depending on its software system domain specialization.
- It can range from being a Framework-Oriented Software System Architectural Model to being a Custom Software System Architectural Model, depending on its software system implementation approach.
- It can range from being a Historical Software System Architectural Model to being a Contemporary Software System Architectural Model, depending on its software system temporal relevance.
- ...
- Examples:
- Core Software System Architectural Models, such as:
- Distribution Software System Architectural Models demonstrating software system component structure and software system distribution, such as:
- Client-Server Software System Architectural Model for client-server software systems with software system responsibility separation.
- Microservices Software System Architectural Model for independent service software systems implementing software system modularity and software system component isolation.
- Service-Oriented Software System Architectural Model for enterprise service software systems supporting software system integration and software system reusability.
- Peer-to-Peer Software System Architectural Model for direct communication software systems enhancing software system resilience and software system decentralization.
- Structural Software System Architectural Models demonstrating software system component organization, such as:
- Layered Software System Architectural Model for n-tier software systems implementing software system separation of concerns and software system abstraction levels.
- Model-View-Controller Software System Architectural Model for UI separation software systems supporting software system maintainability and software system component separation.
- Model-View-ViewModel Software System Architectural Model for data binding software systems enhancing software system testability and software system UI responsiveness.
- Pipe-and-Filter Software System Architectural Model for sequential processing software systems implementing software system data transformation and software system process isolation.
- Primary-Replica Software System Architectural Model for distributed node software systems supporting software system reliability and software system data consistency.
- Distribution Software System Architectural Models demonstrating software system component structure and software system distribution, such as:
- Domain Software System Architectural Models, such as:
- Enterprise Software System Architectural Models demonstrating software system organizational alignment and software system business capability support, such as:
- Enterprise Service Bus Software System Architectural Model for application integration software systems implementing software system message routing and software system service orchestration.
- Enterprise Resource Planning Software System Architectural Model for business process software systems supporting software system cross-functional integration and software system data consistency.
- Content Management Software System Architectural Model for digital content software systems implementing software system content organization and software system publishing workflows.
- API Gateway Software System Architectural Model for service routing software systems enhancing software system security and software system request management.
- Database Software System Architectural Models demonstrating software system data management, such as:
- Distributed Database Software System Architectural Model for data node software systems implementing software system data partitioning and software system replication.
- Data Lake Software System Architectural Model for raw data software systems supporting software system data variety and software system analytical flexibility.
- Data Warehouse Software System Architectural Model for analytics software systems enhancing software system reporting capability and software system data integration.
- Processing Software System Architectural Models demonstrating software system operation management, such as:
- Blackboard Software System Architectural Model for blackboard pattern software systems enabling software system knowledge sharing and software system central data coordination.
- Reactive Software System Architectural Model for event-driven software systems implementing software system asynchronous communication and software system responsiveness.
- Rule-Based Software System Architectural Model for decision software systems supporting software system rule engine integration and software system policy enforcement.
- Enterprise Software System Architectural Models demonstrating software system organizational alignment and software system business capability support, such as:
- Implementation Software System Architectural Models, such as:
- Frontend Software System Architectural Models demonstrating software system user interface organization, such as:
- Single Page Application Software System Architectural Model for dynamic web software systems implementing software system client-side rendering and software system state management.
- Progressive Web Software System Architectural Model for offline capable software systems supporting software system service worker integration and software system caching strategy.
- Backend-for-Frontend Software System Architectural Model for API customization software systems enhancing software system frontend performance and software system interface optimization.
- Backend Software System Architectural Models demonstrating software system data processing and software system service provisioning, such as:
- RESTful Software System Architectural Model for resource management software systems implementing software system stateless communication and software system resource representation.
- GraphQL Software System Architectural Model for flexible query software systems supporting software system query optimization and software system schema definition.
- CQRS Software System Architectural Model for operation separation software systems enhancing software system command processing and software system query performance.
- Cloud Software System Architectural Models demonstrating software system cloud integration and software system infrastructure abstraction, such as:
- Serverless Software System Architectural Model for managed service software systems implementing software system auto-scaling and software system resource optimization.
- Containerized Software System Architectural Model for application package software systems supporting software system deployment consistency and software system environment isolation.
- Infrastructure-as-Code Software System Architectural Model for deployment automation software systems enhancing software system configuration management and software system infrastructure reproducibility.
- Frontend Software System Architectural Models demonstrating software system user interface organization, such as:
- Organizational Software System Architectural Models, such as:
- Team-Based Software System Architectural Models demonstrating software system team topology alignment, such as:
- Inverse Conway Software System Architectural Model for organizational restructuring software systems implementing software system team boundary definition and software system communication flow optimization.
- Squad-Based Software System Architectural Model for autonomous team software systems supporting software system team autonomy and software system cross-functional collaboration.
- Team Topologies Software System Architectural Model for collaborative team software systems enhancing software system cognitive load management and software system team interaction patterns.
- Governance Software System Architectural Models demonstrating software system decision authority distribution, such as:
- Federated Governance Software System Architectural Model for distributed decision software systems implementing software system local autonomy and software system global policy compliance.
- Centralized Governance Software System Architectural Model for standardized practice software systems supporting software system consistency enforcement and software system architectural conformance.
- Community Governance Software System Architectural Model for open source software systems enhancing software system contribution management and software system consensus decision-making.
- Team-Based Software System Architectural Models demonstrating software system team topology alignment, such as:
- Evolutionary Software System Architectural Models demonstrating software system architectural evolution patterns, such as:
- Adaptable Software System Architectural Models showing software system migration strategy implementation, such as:
- Strangler Fig Software System Architectural Model for legacy migration software systems implementing software system incremental replacement and software system parallel operation.
- Feature Toggle Software System Architectural Model for progressive delivery software systems supporting software system feature isolation and software system controlled deployment.
- CQRS Evolution Software System Architectural Model for bounded context software systems enhancing software system command-query separation and software system model evolution.
- Resilience Software System Architectural Models demonstrating software system failure management, such as:
- Circuit Breaker Software System Architectural Model for fault isolation software systems implementing software system failure detection and software system service degradation.
- Bulkhead Software System Architectural Model for failure containment software systems supporting software system resource isolation and software system failure boundary definition.
- Saga Software System Architectural Model for distributed transaction software systems enhancing software system compensation action and software system consistency management.
- Adaptable Software System Architectural Models showing software system migration strategy implementation, such as:
- Hybrid Software System Architectural Models demonstrating software system architectural style combination, such as:
- Mixed-Paradigm Software System Architectural Models balancing software system architectural trade-offs, such as:
- Modular Monolith Software System Architectural Model for structured monolithic software systems implementing software system internal modularity while maintaining software system deployment simplicity.
- Service-Based Software System Architectural Model for coarse-grained service software systems supporting software system service independence with software system operational simplicity.
- Micro-Frontend Software System Architectural Model for decomposed frontend software systems enhancing software system frontend team autonomy and software system UI component isolation.
- Technology-Specific Software System Architectural Models leveraging software system technology enablers, such as:
- Kubernetes-Enabled Microservices Software System Architectural Model for container orchestrated software systems implementing software system automated scaling and software system container management.
- Serverless Function-Based Software System Architectural Model for event-driven cloud software systems supporting software system event processing and software system cost optimization.
- Edge-Cloud Hybrid Software System Architectural Model for distributed computing software systems enhancing software system edge processing and software system cloud integration.
- Quality-Optimized Software System Architectural Models prioritizing specific software system quality attributes, such as:
- High-Performance Software System Architectural Model for low-latency software systems implementing software system performance optimization and software system resource efficiency.
- High-Availability Software System Architectural Model for fault-tolerant software systems supporting software system redundancy and software system failure recovery.
- Security-First Software System Architectural Model for zero-trust software systems enhancing software system security control and software system threat mitigation.
- Mixed-Paradigm Software System Architectural Models balancing software system architectural trade-offs, such as:
- Temporal Evolution Software System Architectural Models, such as:
- Historical Software System Architectural Models (pre-2000), such as:
- Mainframe Software System Architectural Model for centralized processing software systems demonstrating early software system architectural approaches.
- Client-Server Software System Architectural Model (1980s) for two-tier software systems implementing early software system distribution.
- N-Tier Software System Architectural Model (1990s) for multi-layer software systems showing evolution of software system separation of concerns.
- Contemporary Software System Architectural Models (post-2000), such as:
- Web Service Software System Architectural Model (2000s) for service-oriented software systems demonstrating software system interoperability standard adoption.
- Cloud-Native Software System Architectural Model (2010s) for distributed cloud software systems implementing software system elasticity and software system infrastructure abstraction.
- AI-Integrated Software System Architectural Model (2020s) for intelligent software systems showing recent software system computational paradigm shifts.
- Historical Software System Architectural Models (pre-2000), such as:
- Domain-Application Software System Architectural Models, such as:
- Web Application Software System Architectural Models demonstrating software system web technology integration, such as:
- Django Web Application Software System Architectural Model for Python-based web software systems implementing software system MVC pattern and software system admin interface generation.
- Play Framework Software System Architectural Model for reactive web software systems supporting software system asynchronous processing and software system non-blocking IO.
- Single-Page Web Application Software System Architectural Model for client-side rendering software systems enhancing software system user experience and software system frontend responsiveness.
- Enterprise Software System Architectural Models demonstrating software system business process support, such as:
- Multi-Tenant Software System Architectural Model for shared-infrastructure software systems implementing software system tenant isolation and software system resource sharing.
- Enterprise Resource Planning Software System Architectural Model for integrated business software systems supporting software system cross-functional workflow and software system data integration.
- Salesforce CRM Software System Architectural Model for customer relationship management software systems enhancing software system customer data management and software system sales process automation.
- AI System Software System Architectural Models demonstrating software system AI capability integration, such as:
- LLM Training Software System Architectural Model for distributed AI training software systems implementing software system parallel computation and software system model optimization.
- AI Inference Software System Architectural Model for model serving software systems supporting software system prediction delivery and software system model versioning.
- Machine Learning Pipeline Software System Architectural Model for data science workflow software systems enhancing software system data preprocessing and software system model evaluation.
- Web Application Software System Architectural Models demonstrating software system web technology integration, such as:
- ...
- Core Software System Architectural Models, such as:
- Counter-Examples:
- Software System Design Model, which focuses on detailed software system implementation rather than software system architectural structure.
- Software System Data Structure or Software System Data Model, which organize information without addressing software system structure.
- Software System Development Methodology, which defines processes rather than architectural decisions.
- Organizational Architecture, which structures business entities rather than software system components.
- Software System Design Framework, which provides implementation tools rather than architectural guidance.
- Software System Technical Standard, which specifies interfaces rather than architectural patterns.
- Software System Team Organization, which defines human structures without addressing software system architecture directly.
- Software System Technology Selection, which chooses implementation technologies without establishing the overall software system structure.
- Software Design Task, which represents an activity to create architectures rather than the architectural model itself.
- Software System Modeling Task, which captures the process of creating models rather than the architectural models themselves.
- See: Software System Architecture, Software System Architectural Pattern, System Design Model, Clean Software System Architecture, Information Architecture Institute, Software System Design Pattern, Software System Engineering, Software System Architecture Description Language, Software System Quality Attribute, Software System Architecture Evaluation Method, Conway's Law, Software System Sociotechnical System, Software System Team Topology, Software System Quality Attribute Trade-off, Software System Architectural Evolution Path, Software System Technology Enablement, Domain-Driven Design (DDD) Methodology, Software System Architecture Document, Software System Design Model Diagram, Event-Driven Architecture (EDA) Pattern.
References
2025-05-14
- Deep Research https://chatgpt.com/s/dr_6824efd8d67481919e09efcfa19fa3d3
- Question: What is a software design pattern that facilitates the creation of software system architectures?
- Answer: A Software System Architectural Model is a design pattern that serves as a blueprint for organizing software components and managing complexity. According to industry standards like IEEE 1471 (now ISO/IEC/IEEE 42010), rigorously describing a architecture helps stakeholders understand a system's behavior, composition, and evolution – addressing concerns like feasibility, maintainability, and utility.
- Categories of Software System Architectural Models:
- Centralized vs. Distributed:
- Centralized Architecture: In a centralized system, all core computation and data storage occur in a single (or tightly coupled) logical location – often one server or mainframe hosting the entire application. This model offers simplicity and control, with a single point of administration, making it easier to manage, update, and enforce standards.
- Distributed Architecture: In a distributed system, computation is spread across multiple nodes or components, often in different locations, that communicate over a network to work as a single logical system. No single node performs all tasks; instead, responsibilities are divided among components.
- Monolithic vs. Microservices:
- Monolithic Architecture: A monolithic architecture is a unified model where all components (user interface, business logic, data access) are part of one indivisible deployment unit. The entire application shares a single codebase and is typically built and deployed as one self-contained system.
- Microservices Architecture: A microservices architecture structures a software system as a set of small, independent services, each encapsulating a specific business capability and running in its own process. These services communicate through well-defined APIs or messaging protocols.
- Static vs. Dynamic:
- Static Architecture: A static architectural model is one where the structure of the system is largely fixed at deployment time and does not change without redeployment. The set of components and their connections remain the same during operation.
- Dynamic Architecture: A dynamic architectural model allows the system's structure to evolve at runtime – components can be added, removed, or reconfigured on the fly, without stopping the entire system.
- Centralized vs. Distributed:
- Quality Attributes Impact:
- Scalability:
- Centralized systems often scale vertically (scaling-up) and run into limits, whereas distributed systems scale horizontally (scale-out) by adding nodes.
- Monolithic architectures require scaling the entire application, while microservices allow fine-grained scaling of individual services.
- Static architectures typically use predefined scaling, while dynamic architectures can adjust resources in real-time to meet demand.
- Performance:
- Centralized architectures offer low-latency internal access but can become bottlenecks under heavy load.
- Monolithic systems benefit from in-memory function calls but have process capacity limits.
- Distributed systems can leverage parallelism but incur network communication overhead.
- Maintainability:
- Centralized, small systems are easy to maintain, but large monoliths become complex and difficult to modify.
- Distributed systems improve maintainability through separation of concerns, but require additional operational tools.
- Dynamic architectures facilitate updates with minimal downtime, enhancing overall maintainability.
- Extensibility:
- Monolithic systems constrain new technology adoption and feature addition.
- Microservices enable adding new features as independent services without impacting existing functionality.
- Dynamic architectures allow on-the-fly addition of new components or capabilities.
- Reliability:
- Centralized systems are vulnerable to single points of failure.
- Distributed architectures improve availability through redundancy and fault isolation.
- Dynamic systems can self-heal by automatically replacing failed components.
- Scalability:
- Organizational Alignment:
- Team Structure:
- Monolithic architectures often align with centralized, tightly coordinated teams.
- Microservices enable small, autonomous teams aligned with business capabilities (Conway's Law).
- Governance Models:
- Centralized governance enforces standards top-down across a single codebase.
- Distributed governance balances team autonomy with common standards for cross-cutting concerns.
- Team Structure:
- Architectural Model Selection:
- Trade-offs: Choosing an architectural model involves balancing factors such as system size, team expertise, regulatory requirements, expected rate of change, and runtime environment.
- Model Combinations: Modern systems often blend approaches, such as using microservices with container orchestration for dynamic scaling, while maintaining some centralized governance.
- Categories of Software System Architectural Models:
- Citations:
[1] IEEE 1471, now ISO/IEC/IEEE 42010, Software Architecture Standards [2] Bass, Clements, and Kazman, Software Architecture in Practice [3] Conway's Law, Martin Fowler's article on organizational alignment [4] Atlassian's experience transitioning from monolithic to microservices architecture [5] GeeksforGeeks comparison of centralized, decentralized, and distributed systems
2023
- chat
- Q: What is a software architecture pattern, and what are some examples?
- A: A software architecture pattern is a general, reusable solution to a commonly occurring problem in software architecture within a given context. Patterns can be used to describe the structure of a software system and provide a way to reason about its design. Examples of software architecture patterns include:
- Model-View-Controller (MVC): This pattern separates the representation of information from the user's interaction with it. The model represents the data, the view represents the UI, and the controller handles the input.
- Client-Server: This pattern separates clients, which make requests, from servers, which receive requests and send back responses.
- Master-Slave: This pattern distributes tasks among worker nodes, with one central node (the master) coordinating the work.
- Pipe and Filter: This pattern processes a series of inputs through a sequence of interconnected filters, producing output.
- Layered: This pattern divides the software into layers, each with a specific role, with higher layers using services from lower layers.
- Microservices: This pattern decomposes a large application into a set of small, independent services that communicate with each other using well-defined APIs.
- Event-Driven: This pattern processes events as they occur, rather than following a predetermined flow.
2023
- chat
- Q: What is a software architecture? How does it relate to a system architecture? provide some examples of a software architecture.
- A: A software architecture is a high-level design of a software system that describes the relationships and interactions between different components of the system. It is a blueprint for the software system that defines the structure of the system, its major components, and how they interact with each other.
Software architecture is a type of system architecture, which refers to the overall design of a complex system that includes hardware, software, and other components. In software development, system architecture is focused on the design of software systems, while also taking into account the hardware and infrastructure components that support the system.
Examples of software architecture include:
- Client-server architecture: This architecture involves dividing a software system into two major components: the client, which provides the user interface, and the server, which provides the back-end functionality.
- Microservices architecture: This architecture involves dividing a software system into small, independently deployable services that communicate with each other through APIs. This architecture is designed to be highly scalable and resilient.
- Event-driven architecture: This architecture involves building a software system that responds to events that occur within the system or outside of it. It is designed to be highly responsive and flexible.
- Layered architecture: This architecture involves dividing a software system into multiple layers, each of which is responsible for a specific set of tasks. This architecture is designed to be highly modular and easy to maintain.
- Service-oriented architecture: This architecture involves building a software system that is composed of loosely coupled services that communicate with each other using standard protocols. This architecture is designed to be highly flexible and adaptable to changing business requirements.
- In summary, a software architecture is a high-level design of a software system that defines the structure and interactions between its major components. It is a type of system architecture that is focused on the design of software systems, while taking into account the hardware and infrastructure components that support the system. There are many different types of software architecture, each with its own strengths and weaknesses, and the choice of architecture depends on the requirements of the software system and the goals of the development team.
2024a
- (Wikipedia, 2024) ⇒ https://en.wikipedia.org/wiki/Software_architecture Retrieved:2024-2-11.
- Software architecture is the set of structures needed to reason about a software system and the discipline of creating such structures and systems. Each structure comprises software elements, relations among them, and properties of both elements and relations.[1]
The architecture of a software system is a metaphor, analogous to the architecture of a building.[2] It functions as the blueprints for the system and the development project, which project management can later use to extrapolate the tasks necessary to be executed by the teams and people involved.
Software architecture design is commonly juxtaposed with software application design. Whilst application design focuses on the design of the processes and data supporting the required functionality (the services offered by the system), software architecture design focuses on designing the infrastructure within which application functionality can be realized and executed such that the functionality is provided in a way which meets the system's non-functional requirements.
Software architecture is about making fundamental structural choices that are costly to change once implemented. Software architecture choices include specific structural options from possibilities in the design of the software.
For example, the systems that controlled the Space Shuttle launch vehicle had the requirement of being very fast and very reliable. Therefore, an appropriate real-time computing language would need to be chosen. Additionally, to satisfy the need for reliability the choice could be made to have multiple redundant and independently produced copies of the program, and to run these copies on independent hardware while cross-checking results.
Documenting software architecture facilitates communication between stakeholders, captures early decisions about the high-level design, and allows reuse of design components between projects.
- Software architecture is the set of structures needed to reason about a software system and the discipline of creating such structures and systems. Each structure comprises software elements, relations among them, and properties of both elements and relations.[1]
- ↑ "Software Architecture". www.sei.cmu.edu. Retrieved 2018-07-23.
- ↑ Perry, D. E.; Wolf, A. L. (1992). "Foundations for the study of software architecture" (PDF). ACM SIGSOFT Software Engineering Notes. 17 (4): 40. CiteSeerX 10.1.1.40.5174. doi:10.1145/141874.141884. S2CID 628695.
2024b
- (ChatGPT-OpenAI, 2024) ⇒ Prompt: Summarize the concept Software System Architecture in 1- 2 paragraphs. ChatGPT (model:gpt-4-turbo-preview). Retrieved: 2024-02-11.
- QUOTE: Software system architecture refers to the fundamental structures within a software system, encompassing the components, their relationships, and how they interact with each other to fulfill the system's requirements. This architecture is a high-level blueprint that provides a structured explanation of the system, guiding its construction and evolution. It encompasses several elements, including architectural patterns, design principles, and decisions that have significant impacts on the system's performance, scalability, maintainability, and security. The architecture is not only about the software components and their interactions but also about making strategic choices that align with the system’s goals, stakeholder needs, and technological environment.
Developing a software system architecture involves understanding the system's requirements deeply and choosing a suitable architectural style (e.g., client-server, microservices, monolithic) that meets those requirements. This process is critical because the chosen architectural framework will influence virtually every aspect of development and operation, including how the system is developed, deployed, scaled, and maintained. Effective software architecture provides a clear path for system development and ensures that the system can adapt to changing requirements and technologies over its lifespan, while also optimizing for performance and resource utilization.
- QUOTE: Software system architecture refers to the fundamental structures within a software system, encompassing the components, their relationships, and how they interact with each other to fulfill the system's requirements. This architecture is a high-level blueprint that provides a structured explanation of the system, guiding its construction and evolution. It encompasses several elements, including architectural patterns, design principles, and decisions that have significant impacts on the system's performance, scalability, maintainability, and security. The architecture is not only about the software components and their interactions but also about making strategic choices that align with the system’s goals, stakeholder needs, and technological environment.
2023
- chat
- A Software-based System Architecture is a high-level blueprint for a software-based system, which describes the overall structure, components, and relationships among those components within the system. It serves as a guide for developers in designing, implementing, and maintaining the system. Software-based System Architecture defines the organization of the system, its functional elements, their interactions, and the non-functional requirements such as performance, scalability, and security.
In contrast, a Software-based System Architectural Pattern refers to a recurring solution to a common problem in software architecture. These patterns are proven design solutions that can be used to tackle specific architectural challenges within the context of a software-based system. They provide best practices and guidelines for designing software architectures and can be adapted or customized according to the specific needs of a project.
- A Software-based System Architecture is a high-level blueprint for a software-based system, which describes the overall structure, components, and relationships among those components within the system. It serves as a guide for developers in designing, implementing, and maintaining the system. Software-based System Architecture defines the organization of the system, its functional elements, their interactions, and the non-functional requirements such as performance, scalability, and security.
2023
- chat
- Q: Write an essay on the similarities and differences between front-end architectural patterns for web-based and mobile-based applications? Provide examples.
- A: Front-end architectural patterns refer to the structure and organization of the code that runs in the client-side of an application. These patterns are used to improve the maintainability, scalability, and performance of the application.
2021
- (Wikipedia, 2021) ⇒ https://en.wikipedia.org/wiki/Software_architecture Retrieved:2021-2-2.
- Software architecture refers to the fundamental structures of a software system and the discipline of creating such structures and systems. Each structure comprises software elements, relations among them, and properties of both elements and relations. The architecture of a software system is a metaphor, analogous to the architecture of a building. It functions as a blueprint for the system and the developing project, laying out the tasks necessary to be executed by the design teams. Software architecture is about making fundamental structural choices that are costly to change once implemented. Software architecture choices include specific structural options from possibilities in the design of the software. For example, the systems that controlled the Space Shuttle launch vehicle had the requirement of being very fast and very reliable. Therefore, an appropriate real-time computing language would need to be chosen. Additionally, to satisfy the need for reliability the choice could be made to have multiple redundant and independently produced copies of the program, and to run these copies on independent hardware while cross-checking results. Documenting software architecture facilitates communication between stakeholders, captures early decisions about the high-level design, and allows reuse of design components between projects.
2021
- (Wikipedia, 2021) ⇒ https://en.wikipedia.org/wiki/information_architecture Retrieved:2021-2-2.
- Information architecture (IA) is the structural design of shared information environments; the art and science of organizing and labelling websites, intranets, online communities and software to support usability and findability; and an emerging community of practice focused on bringing principles of design, architecture and information science to the digital landscape.[1] Typically, it involves a model or concept of information that is used and applied to activities which require explicit details of complex information systems. These activities include library systems and database development.
Today there is a growing network of active IA specialists who constitute the Information Architecture Institute.
- Information architecture (IA) is the structural design of shared information environments; the art and science of organizing and labelling websites, intranets, online communities and software to support usability and findability; and an emerging community of practice focused on bringing principles of design, architecture and information science to the digital landscape.[1] Typically, it involves a model or concept of information that is used and applied to activities which require explicit details of complex information systems. These activities include library systems and database development.
- ↑ .
2017b
- (Wikipedia, 2017) ⇒ https://en.wikipedia.org/wiki/information_architecture#Definition Retrieved:2017-3-31.
- “Information architecture has somewhat different meanings in different branches of Information systems or Information technology:
- The structural design of shared information environments.Template:SfnTemplate:Rp
- The art and science of organizing and labeling web sites, intranets, online communities, and software to support findability and usability. [1]
- An emerging community of practice focused on bringing principles of design and architecture to the digital landscape.Template:SfnTemplate:Rp[2]
- The combination of organization, labeling, search and navigation systems within websites and intranets.Template:SfnTemplate:Rp
- Extracting required parameters/data of Engineering Designs in the process of creating a knowledge-base linking different systems and standards.
- A blueprint and navigational aid to the content of information-rich systems. [3]
- A subset of data architecture where usable data (a.k.a. information) is constructed in and designed or arranged in a fashion most useful or empirically holistic to the users of this data.
- The practice of organizing the information / content / functionality of a web site so that it presents the best user experience it can, with information and services being easily usable and findable (as applied to web design and development).[4]
- “Information architecture has somewhat different meanings in different branches of Information systems or Information technology:
2014
- (Wikipedia, 2014) ⇒ http://en.wikipedia.org/wiki/structure#Software_structure Retrieved:2014-9-21.
- The software architecture is the result of the designing of the software, usually conducted by a computer scientist, before the implementation is written by software developer(s).
- ↑ Morville & Rosenfeld (2007). p. 4. “The art and science of shaping information products and experienced to support usability and findability."
- ↑ Resmini, A. & Rosati, L. (2012). A Brief History of Information Architecture. Journal of Information Architecture. Vol. 3, No. 2. [Available at http://journalofia.org/volume3/issue2/03-resmini/]. Originally published in Resmini, A. & Rosati L. (2011). Pervasive Information Architecture. Morgan Kauffman. (Edited by the authors).
- ↑ Toms, Elaine (17 May 2012). "Information interaction: Providing a framework for information architecture". Journal of the American Society for Information Science and Technology 53 (10.1002/asi.10094).
- ↑ "Information Architecture". Mozilla Developer Network. https://developer.mozilla.org/en-US/docs/Glossary/Information_architecture.
2014
- (Wikipedia, 2014) ⇒ http://en.wikipedia.org/wiki/Architectural_pattern Retrieved:2014-4-14.
- An architectural pattern is a widely recognised and reused solution to a recurring design problem in the field of software architectures. The concept of an architectural pattern has a broader scope than the concept of design pattern. The architectural patterns address various issues in software engineering, such as computer hardware performance limitations, high availability and minimization of a business risk. Some architectural patterns have been implemented within software frameworks.
2014
- (Wikipedia, 2014) ⇒ http://en.wikipedia.org/wiki/Category:Architectural_pattern_(computer_science) Retrieved:2014-4-14.
- An architectural pattern is a standard design in the field of software architecture. The concept of an architectural pattern has a broader scope than the concept of design pattern. The architectural patterns address various issues in software engineering, such as computer hardware performance limitations, high availability and minimization of a business risk. Some architectural patterns have been implemented within software frameworks.
2013
- http://en.wikipedia.org/wiki/Software_Architecture_styles_and_patterns
- An architectural pattern is a general, reusable solution to a commonly occurring problem in software architecture within a given context. Architectural patterns are often documented as software design patterns.
"An architectural pattern is a named collection of architectural design decisions that are applicable to a recurring design problem, parameterized to account for different software development contexts in which that problem appears."[1]
Following traditional building architecture, a 'software architectural style' is a specific method of construction, characterized by the features that make it notable" (Architectural style). “An architectural style defines: a family of systems in terms of a pattern of structural organization; a vocabulary of components and connectors, with constraints on how they can be combined."[2]
"An architectural style is a named collection of architectural design decisions that (1) are applicable in a given development context, (2) constrain architectural design decisions that are specific to a particular system within that context, and (3) elicit beneficial qualities in each resulting system."[1]
Some treat architectural patterns and architectural styles as the same,[3] some treat styles as specializations of patterns. What they have in common is both patterns and styles are idioms for architects to use, they "provide a common language" or "vocabulary" with which to describe classes of systems.
The main difference is that a pattern can be seen as a solution to a problem, while a style is more general and does not require a problem to solve for its appearance.
- An architectural pattern is a general, reusable solution to a commonly occurring problem in software architecture within a given context. Architectural patterns are often documented as software design patterns.
2000
- (Bosch, 2000) ⇒ Jan Bosch. (2000). “Design and Use of Software Architectures: Adopting and Evolving a Product-line Approach.” Pearson Education.
- ↑ Jump up to: 1.0 1.1 R. N. Taylor, N. Medvidović and E. M. Dashofy, Software architecture: Foundations, Theory and Practice. Wiley, 2009.
- ↑ M. Shaw and D. Garlan, Software architecture: perspectives on an emerging discipline. Prentice Hall, 1996.
- ↑ http://msdn.microsoft.com/en-us/library/ee658117.aspx