Difference between Structured and Object-Oriented Analysis
Last Updated :
03 Jan, 2025
Structured and Object-Oriented Analysis are two distinct methodologies for software development. Structured Analysis focuses on processes and data flow, while Object-Oriented Analysis emphasizes modeling entities and their interactions. This article explores the key differences between these approaches and their implications for system design and implementation.
Important Topics for Structured vs. Object-oriented Analysis
What is Structured Analysis?
Structured Analysis is a methodology used in software engineering to understand and define system requirements through a systematic approach. It focuses on breaking down a system into smaller, manageable components and understanding the flow of data and processes.
- Key elements include data flow diagrams, process specifications, and data dictionaries, which help in visualizing how data moves through the system and how different processes interact.
- The primary goal is to create a clear and detailed blueprint of the system before development begins.
What is Object-Oriented Analysis (OOA)?
Object-Oriented Analysis (OOA) is a methodology in software engineering that models a system based on real-world entities and their interactions. It focuses on identifying objects—entities with both data (attributes) and behaviors (methods)—and their relationships to design a system. The main components include classes, objects, inheritance, and encapsulation. OOA emphasizes understanding and defining the system through these objects and their interactions, which helps in creating a more modular, reusable, and maintainable system architecture.
In conclusion, Structured Analysis and OOA are both valuable software development methodologies, each with its own strengths and weaknesses. The choice of which to use depends on the particular requirements and constraints of a software project.
Structured vs. Object-oriented Analysis
Below are the differences between structures and object oriented analysis:
Structured Analysis | Object-Oriented Analysis |
---|
The main focus is on the process and procedures of the system. | The main focus is on data structure and real-world objects that are important. |
It uses System Development Life Cycle (SDLC) methodology for different purposes like planning, analyzing, designing, implementing, and supporting an information system. | It uses Incremental or Iterative methodology to refine and extend our design. |
It is suitable for well-defined projects with stable user requirements. | It is suitable for large projects with changing user requirements. |
Risk while using this analysis technique is high and reusability is also low. | Risk while using this analysis technique is low and reusability is also high. |
Structuring requirements include DFDs (Data Flow Diagram), Structured Analysis, ER (Entity Relationship) diagram, CFD (Control Flow Diagram), Data Dictionary, Decision table/tree, and the State transition diagram. | Requirement engineering includes the Use case model (find Use cases, Flow of events, Activity Diagram), the Object model (find Classes and class relations, Object interaction, Object to ER mapping), Statechart Diagram, and deployment diagram. |
This technique is old and is not preferred usually. | This technique is new and is mostly preferred. |
Advantages of Structured Analysis
Below are the advantages of structures analysis:
- Clear and straightforward: Structured Analysis is a clear and straightforward methodology that is easy to understand and implement.
- Top-down approach: The top-down approach of Structured Analysis makes it easy to identify the high-level functions and processes involved in a software system, and to break them down into smaller, more manageable components.
- Emphasis on data: Structured Analysis places a strong emphasis on the data that a software system manipulates, making it easier to understand the relationships between data and processes.
- Well-suited for small to medium-sized systems: Structured Analysis is well-suited for small to medium-sized systems, where the focus is on breaking down complex systems into simpler, more manageable components.
Disadvantages of Structured Analysis
Below are the disadvantages of structured analysis:
- Limited scalability: Structured Analysis is limited in its scalability, and may become cumbersome when dealing with complex, large-scale systems.
- Lack of object orientation: Structured Analysis does not provide the object orientation and encapsulation benefits of OOA, making it more difficult to manage and maintain large systems over time.
- Limited ability to model complex relationships: Structured Analysis has a limited ability to model complex relationships between objects, making it less suitable for modeling large, complex systems.
Advantages of Object-Oriented Analysis (OOA)
Below are the advantages of object-oriented analysis(OOA):
- Reusable code: OOA enables the creation of reusable objects and design patterns, reducing the amount of code that needs to be written and improving the quality and consistency of the software.
- Scalability: OOA is more scalable than Structured Analysis, making it better suited for large, complex systems.
- Object orientation: OOA provides the benefits of object orientation, including encapsulation, inheritance, and polymorphism, making it easier to manage and maintain large systems over time.
- Better modeling of complex relationships: OOA enables better modeling of complex relationships between objects, making it better suited for modeling large, complex systems.
Disadvantages of Object-Oriented Analysis (OOA)
Below are the disadvantages of object oriented analysis(OOA):
- Steep learning curve: OOA can be more difficult to understand and implement than Structured Analysis, especially for those who are not familiar with object-oriented programming.
- Bottom-up approach: The bottom-up approach of OOA can make it difficult to understand the high-level functions and processes involved in a software system, and to break them down into smaller, more manageable components.
- Emphasis on objects: OOA places a strong emphasis on objects, making it more difficult to understand the relationships between data and processes.
Use-cases of Structured Analysis
Structured Analysis is particularly effective in scenarios where a clear, linear approach to understanding and documenting system requirements is beneficial. Here are some common use cases:
- Legacy Systems Upgrades:
- When modernizing or enhancing older systems, Structured Analysis helps in detailing existing processes and data flows, making it easier to understand and incrementally improve the system.
- Well-Defined Requirements:
- For projects with well-defined, stable requirements where processes are clear and unlikely to change, Structured Analysis provides a straightforward method for modeling and documenting system components.
- System Integration:
- In scenarios involving the integration of disparate systems, Structured Analysis helps in mapping out data flows and processes, ensuring smooth integration by clearly defining how data should be transferred and processed between systems.
- Regulatory Compliance:
- Projects requiring rigorous documentation for compliance with industry regulations benefit from Structured Analysis, as it provides detailed process and data flow diagrams that can be used to demonstrate adherence to standards.
Use-cases of Object-Oriented Analysis
Object-Oriented Analysis (OOA) is particularly advantageous in scenarios where flexibility, modularity, and reuse are important. Here are some common use cases:
- Complex Systems Development:
- OOA is ideal for developing complex systems where modular design and reusable components are needed. Its focus on objects and their interactions helps manage complexity more effectively.
- Software Reusability:
- Projects requiring reusable components benefit from OOA, as it promotes the creation of classes and objects that can be easily reused across different parts of the system or in future projects.
- Rapid Prototyping:
- In environments where rapid development and iterative changes are required, OOA supports quick adjustments and extensions by allowing changes to individual objects without disrupting the entire system.
- Integration of New Technologies:
- When integrating new technologies or platforms, OOA helps by modeling systems in terms of objects and their interactions, making it easier to adapt to new requirements or technologies.
Conclusion
In conclusion, Structured and Object-Oriented Analysis offer distinct approaches to system design and implementation. Structured Analysis excels in defining processes and data flows, making it suitable for traditional systems with well-defined requirements. In contrast, Object-Oriented Analysis provides a more flexible and modular approach, ideal for complex systems that benefit from reusable and scalable design.
Similar Reads
Software Development Life Cycle (SDLC)
Software development life cycle (SDLC) is a structured process that is used to design, develop, and test good-quality software. SDLC, or software development life cycle, is a methodology that defines the entire procedure of software development step-by-step. The goal of the SDLC life cycle model is
11 min read
Class Diagram | Unified Modeling Language (UML)
A UML class diagram is a visual tool that represents the structure of a system by showing its classes, attributes, methods, and the relationships between them. It helps everyone involved in a projectâlike developers and designersâunderstand how the system is organized and how its components interact
12 min read
Unified Modeling Language (UML) Diagrams
Unified Modeling Language (UML) is a general-purpose modeling language. The main aim of UML is to define a standard way to visualize the way a system has been designed. It is quite similar to blueprints used in other fields of engineering. UML is not a programming language, it is rather a visual lan
14 min read
System Design Tutorial
System Design is the process of designing the architecture, components, and interfaces for a system so that it meets the end-user requirements. This specifically designed System Design tutorial will help you to learn and master System Design concepts in the most efficient way from basics to advanced
4 min read
Waterfall Model - Software Engineering
The Waterfall Model is a Traditional Software Development Methodology. It was first introduced by Winston W. Royce in 1970. It is a linear and sequential approach to software development that consists of several phases. This classical waterfall model is simple and idealistic. It is important because
13 min read
Difference Between IPv4 and IPv6
In the digital world, where billions of devices connect and communicate, Internet Protocol (IP) Addresses play a crucial role. These addresses are what allow devices to identify and locate each other on a network.To know all about IP Addresses - refer to What is an IP Address?Currently, there are tw
9 min read
Difference between BFS and DFS
Breadth-First Search (BFS) and Depth-First Search (DFS) are two fundamental algorithms used for traversing or searching graphs and trees. This article covers the basic difference between Breadth-First Search and Depth-First Search.Difference between BFS and DFSParametersBFSDFSStands forBFS stands fo
2 min read
Use Case Diagram - Unified Modeling Language (UML)
A Use Case Diagram in Unified Modeling Language (UML) is a visual representation that illustrates the interactions between users (actors) and a system. It captures the functional requirements of a system, showing how different users engage with various use cases, or specific functionalities, within
9 min read
What is DFD(Data Flow Diagram)?
Data Flow Diagram is a visual representation of the flow of data within the system. It help to understand the flow of data throughout the system, from input to output, and how it gets transformed along the way. The models enable software engineers, customers, and users to work together effectively d
9 min read
COCOMO Model - Software Engineering
The Constructive Cost Model (COCOMO) It was proposed by Barry Boehm in 1981 and is based on the study of 63 projects, which makes it one of the best-documented models. It is a Software Cost Estimation Model that helps predict the effort, cost, and schedule required for a software development project
15+ min read