Ideia Principal: Compreender os conceitos básicos da teoria dos grafos é essencial para que os testadores de software modelem e analisem comportamentos complexos do sistema de forma eficiente, facilitando o desenvolvimento de estratégias de teste direcionadas e eficazes.
**Conteúdo
-
Definição de um grafo
- Componentes:
- Nós (vértices): Representam estados ou condições dentro do sistema.
- Bordas (Arcos): Representam transições ou ações entre os nós, definindo o fluxo ou o caminho pelo sistema.
- Nós iniciais: pontos de partida no grafo em que o teste ou a operação do sistema começa.
- Nós finais: nós de ponto final que significam a conclusão de um processo ou o retorno a um estado estável.
- Componentes:
-
Representação do grafo:
- Os grafos podem representar visualmente os relacionamentos e as dependências em um sistema, fornecendo um roteiro claro para testes e análises.
graph LR;
A[Initial Node] --> B;
B --> C[Final Node];
B --> D;
D --> E;
E --> C;
style A fill:#f9f,stroke:#333,stroke-width:2px
style C fill:#ccf,stroke:#333,stroke-width:2px
- Exemplos de três tipos de gráficos
- Gráfico de fluxo de controle (CFG): Usado principalmente em testes de software para representar o fluxo de execução em unidades de programa.
graph TD;
A[Start] -->|Function Call| B[Decision Point];
B -->|True| C[Block of Code];
B -->|False| D[Alternative Block];
C --> E[End];
D --> E;
- Máquina de estado finito (FSM): Modela o comportamento de sistemas com um número finito de estados e as transições entre esses estados.
stateDiagram-v2
[*] --> LoggedOut
LoggedOut --> LoggedIn: Login Success
LoggedIn --> LoggedOut: Logout
LoggedOut --> LoggedOut: Login Fail
LoggedIn --> LoggedIn: Refresh
- Grafo de caso de uso: Visualiza as interações entre um ator e o sistema para atingir uma meta, refletindo cenários que precisam ser testados.
graph LR;
A[Actor] -->|Initiates| B[Use Case 1];
A -->|Initiates| C[Use Case 2];
B --> D{Decision};
D -->|Option 1| E[Outcome 1];
D -->|Option 2| F[Outcome 2];
- Tabela de tipos de gráficos e seus aplicativos de teste:
| Graph Type | Testing Application |
|---|---|
| Control Flow Graph | Analyze executable paths within a program. |
| Finite State Machine | Test system behavior across various states. |
| Use Case Graph | Ensure all actor-initiated interactions are covered. |
Atomic Note: Basic Notions of Graph Theory in Software Testing
Title: Fundamentals of Graph Theory Applied to Software Testing
Main Idea: Understanding basic concepts of graph theory is essential for software testers to model and analyze complex system behaviors efficiently, facilitating the development of targeted and effective test strategies.
Content:
-
Definition of a Graph:
- Components:
- Nodes (Vertices): Represent states or conditions within the system.
- Edges (Arcs): Represent transitions or actions between nodes, defining the flow or path through the system.
- Initial Nodes: Starting points within the graph where testing or system operation commences.
- Final Nodes: Endpoint nodes that signify the completion of a process or a return to a stable state.
- Components:
-
Graph Representation:
- Graphs can visually depict the relationships and dependencies within a system, providing a clear roadmap for testing and analysis.
graph LR;
A[Initial Node] --> B;
B --> C[Final Node];
B --> D;
D --> E;
E --> C;
style A fill:#f9f,stroke:#333,stroke-width:2px
style C fill:#ccf,stroke:#333,stroke-width:2px
- Examples of Three Types of Graphs:
- Control Flow Graph (CFG): Used primarily in software testing to represent the flow of execution within program units.
graph TD;
A[Start] -->|Function Call| B[Decision Point];
B -->|True| C[Block of Code];
B -->|False| D[Alternative Block];
C --> E[End];
D --> E;
- Finite State Machine (FSM): Models the behavior of systems with a finite number of states and the transitions between those states.
stateDiagram-v2
[*] --> LoggedOut
LoggedOut --> LoggedIn: Login Success
LoggedIn --> LoggedOut: Logout
LoggedOut --> LoggedOut: Login Fail
LoggedIn --> LoggedIn: Refresh
- Use Case Graph: Visualizes interactions between an actor and the system to achieve a goal, reflecting scenarios that need to be tested.
graph LR;
A[Actor] -->|Initiates| B[Use Case 1];
A -->|Initiates| C[Use Case 2];
B --> D{Decision};
D -->|Option 1| E[Outcome 1];
D -->|Option 2| F[Outcome 2];
- Table of Graph Types and Their Testing Applications:
| Graph Type | Testing Application |
|---|---|
| Control Flow Graph | Analyze executable paths within a program. |
| Finite State Machine | Test system behavior across various states. |
| Use Case Graph | Ensure all actor-initiated interactions are covered. |
Context & Linkage:
- This note draws from the “Basic Notions of Graph Theory” section introduced in the class, aimed at leveraging graph theory for effective software testing.
- Related Notes: Can be linked to advanced graph theory applications in software testing, methods for automating graph-based tests, and practical exercises to construct and interpret various types of graphs.
This atomic note outlines the fundamental concepts of graph theory as applied to software testing, illustrating with examples how different types of graphs can be utilized to model and test different aspects of software systems comprehensively.