Understanding Data Flow Testing | What Is Data Flow Testing ?
Data Flow Testing:
Data Flow Testing is a shape of structural checking out that specializes in reading the flow of statistics inside a program. Unlike information drift diagrams, this method would not challenge itself with visible representations but instead with the trails of variables' definitions and uses in the application's code.
Key Concepts:
Definitions and Uses:
- Definition (DEF): Represents the venture of a fee to a variable within a announcement.
- Use (USE): Denotes the referencing or utilization of a variable's value inside a declaration.
Control Flow Graph:
- Utilized as the premise for figuring out capability interruptions in the flow of data in the application.
- Helps discover anomalies which include variables being defined however not used, used however never described, or defined more than one instances before getting used.
Types of Data Flow Testing:
Testing for All-Du-Paths:
- Focuses on analyzing all possible paths from a variable's definition to each usage point.
All-Du-Path Predicate Node Testing:
- Concentrates on predicate nodes (decision points) within the manipulate go with the flow graph.
All-Uses Testing:
- Checks every example where a variable is used within the software.
All-Defs Testing:
- Examines every incidence where a variable is defined in the software's code.
Testing for All-P-Uses:
- Ensures every ability use of a variable is tested.
All-C-Uses Test:
- Focuses on testing each possible path where a variable is utilized in computations.
Testing for All-I-Uses:
- Concentrates on paths in which a variable acquired from external inputs is used.
Testing for All-O-Uses:
- Targets paths where a variable is utilized to supply output.
Testing of Definition-Use Pairs:
- Concentrates on specific pairs of variable definitions and uses within the software.
Testing of Use-Definition Paths:
- Examines routes leading from a variable's utilization factor returned to its definition.
Advantages:
- Detects issues including variables used however not defined, defined however by no means used, or described multiple instances before use.
- Identifies deallocation of variables before their usage.
Disadvantages:
- Time-eating and aid-intensive technique.
- Requires skillability in programming languages for effective implementation.
Example:
Consider the subsequent software:
1. read x, y;
2. if(x>y)
3. a = x+1
else
4. a = y-1
5. print a;