Software Architecture

History and Evolution of Software Systems

Why is understanding the evolution of software systems important for modern architects?

Helps design scalable, secure, and maintainable systems by learning from past limitations and improvements

Analyse the key drivers behind changes in software systems over time

Advancements in hardware; improvements in software engineering practices; development of network infrastructure; changing business and societal needs

Why were mainframe systems primarily used by governments and large organisations?

High cost, large size, and need for specialized infrastructure limited access to large institutions

Explain why batch processing was suitable for early computing systems

Limited processing power and lack of interactivity made it efficient to process jobs in groups without user input

Evaluate the limitations of monolithic architecture in the Mainframe Era

Difficult to scale, maintain, and modify; tightly coupled components; no user-friendly interaction

Compare user interaction in the Mainframe Era vs modern systems

Mainframe: minimal, no GUI, batch input; Modern: interactive, real-time, graphical interfaces

Why did the introduction of personal computers significantly change software usage?

Made computing accessible to individuals and businesses, increasing demand for user-friendly applications

Explain the significance of graphical user interfaces (GUIs) in the PC Era

Improved usability, allowed non-technical users to interact with systems, increased software adoption

Analyse how the PC Era changed business operations

Enabled automation of office tasks, financial analysis, and productivity through tools like spreadsheets

Compare standalone desktop applications with modern cloud-based applications

Desktop: local storage, limited sharing; Cloud: remote access, scalability, collaboration

Explain how the Internet transformed software systems in the 1990s

Shifted systems from isolated to interconnected, enabling global communication and online services

Why is client-server architecture important in networked systems?

Separates responsibilities, enables multiple users to access centralized resources efficiently

Evaluate the impact of web technologies on global communication

Enabled instant communication, information sharing, and global connectivity

Explain how e-commerce systems demonstrate the impact of the Internet Era

Platforms like Amazon enabled online shopping, transforming business models and consumer behavior

Analyse the importance of distributed systems in the Cloud Era

Allow scalability, reliability, and efficient handling of large-scale data and users

Why do businesses migrate to cloud computing?

Cost efficiency, scalability, flexibility, and reduced infrastructure management

Compare Service-Oriented Architecture (SOA) with monolithic architecture

SOA: modular, scalable services; Monolithic: tightly coupled, harder to scale

Explain how big data analytics influenced software system development

Enabled data-driven decision-making and required scalable, high-performance systems

Analyse how mobile technology changed software design principles

Shift to mobile-first design, need for responsiveness, portability, and constant connectivity

Why are microservices suitable for modern applications?

Independent services allow scalability, flexibility, and easier maintenance

Explain how AI has influenced modern software systems

Enables automation, personalization, and intelligent decision-making

Evaluate the role of cloud integration in mobile applications

Allows data synchronization, remote access, and enhanced functionality

Analyse the significance of edge computing in modern systems

Processes data closer to the source, reducing latency and improving real-time performance

Compare cloud-native architecture with traditional architectures

Cloud-native: scalable, distributed, flexible; Traditional: static, less scalable

Explain how modern systems support real-time processing

Use distributed systems, edge computing, and high-speed networks

Analyse the trade-offs between system complexity and functionality in modern software

More functionality increases complexity, making systems harder to maintain and secure

Explain why cybersecurity has become more critical in modern software systems

Increased connectivity and data exchange expose systems to higher risk of attacks

Evaluate the challenges associated with maintaining modern distributed systems

Complexity, debugging difficulty, integration issues, and scalability management

Explain how software evolution has improved decision-making in organisations

Use of big data and AI provides insights and predictive analytics

Analyse the risks associated with heavy reliance on software systems

System failures, cyberattacks, dependency, and operational disruption

What is the definition of History and Evolution of Software Systems?

Refers to the development of software technologies, architectures, and computing environments over time as hardware, networking, and user needs have advanced; evolved from simple batch processing on mainframes to complex cloud-based AI systems; helps design scalable, secure, maintainable systems

What are the characteristics of the Mainframe Era (1960s–1970s)?

Large centralized computers; low-level programming languages; used by governments and large corporations; batch processing

What was the software architecture in the Mainframe Era?

Monolithic systems; no graphical interfaces; limited user interaction

What technologies were used in the Mainframe Era?

COBOL; FORTRAN; punch cards; batch processing systems

What are examples of systems in the Mainframe Era?

Banking transaction systems; payroll systems; government data processing

What was the impact of the Mainframe Era?

Introduced automated business processes; created transaction processing systems (TPS)

What are the characteristics of the Personal Computer Era (1980s)?

Computers accessible to individuals and businesses; user-friendly software; graphical interfaces introduced

What were key developments in the PC Era?

IBM PCs; MS-DOS; spreadsheet software

What was the software architecture in the PC Era?

Standalone desktop applications; local data storage

What was the impact of the PC Era?

Microsoft Excel used for financial analysis; automation of accounting and office tasks; birth of office productivity software

What are the characteristics of the Internet and Networking Era (1990s)?

Rise of networking; development of web browsers; expansion of online services

What technologies were used in the Internet Era?

HTML; web servers; client-server architecture

What was the software architecture in the Internet Era?

Client-server architecture; web applications

What was the impact of the Internet Era?

Online shopping; digital communication; global information access; Amazon pioneered e-commerce

What are the characteristics of the Enterprise and Cloud Era (2000s)?

Cloud computing; large-scale databases; big data analytics

What technologies were used in the Enterprise and Cloud Era?

Cloud platforms; distributed systems; Service-Oriented Architecture (SOA); AWS; Google Analytics

What was the software architecture in the Enterprise and Cloud Era?

Distributed systems; service-based architecture

What was the impact of the Enterprise and Cloud Era?

Businesses moved to cloud; enabled scalable internet services

What are the characteristics of the Mobile and AI Era (2010s)?

Mobile apps; artificial intelligence; machine learning

What technologies were used in the Mobile and AI Era?

iOS; Android; cloud integration; AI recommendation systems; Netflix recommendations

What was the software architecture in the Mobile and AI Era?

Mobile-first architecture; microservices

What was the impact of the Mobile and AI Era?

Software available anytime anywhere; highly personalized services

What are key developments in the Intelligent and Distributed Era (2020s)?

Artificial intelligence; blockchain; edge computing; cybersecurity systems; Tesla edge computing

What is the software architecture in the Intelligent and Distributed Era?

Cloud-native architecture; microservices; AI-driven systems

What is the impact of the Intelligent and Distributed Era?

Smart cities; autonomous vehicles; FinTech innovations

What are the advantages of software evolution?

Increased efficiency; global connectivity; scalability; improved decision-making; automation

What are the disadvantages of software evolution?

Cybersecurity risks; high development cost; technology dependence; system complexity