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BOOLEAN EXPRESSIONS

Boolean expressions have two primary purposes. They are used to compute logical values, but more often they are used as conditional expressions in statements that alter the flow of control, such as if-then-else, or while-do statements.

Boolean expressions are composed of the boolean operators ( and, or, and not ) applied to elements that are boolean variables or relational expressions. Relational expressions are of the form E1 relop E2, where E1 and E2 are arithmetic expressions.

Here we consider boolean expressions generated by the following grammar :

E->EorE | EandE |notE | ( E ) |id relop id | true | false
 

Methods of Translating Boolean Expressions:

There are two principal methods of representing the value of a boolean expression. They are :

  • To encode true and false numerically and to evaluate a boolean expression analogously to an arithmetic expression. Often, 1 is used to denote true and 0 to denote false.
  • To implement boolean expressions by flow of control, that is, representing the value of a boolean expression by a position reached in a program. This method is particularly convenient in implementing the boolean expressions in flow-of-control statements, such as the if-then and while-do statements.

 

Numerical Representation

Here, 1 denotes true and 0 denotes false. Expressions will be evaluated completely from left to right, in a manner similar to arithmetic expressions.

For example :

  • The translation for a or b and not c is the three-address sequence
  • t1 : = not c

t2 : = b and t1

t3 : = a or t2

  • A relational expression such as a < b is equivalent to the conditional statement
  •  if a < b then 1 else 0

which can be translated into the three-address code sequence (aga statement numbers at 100) :

100 : if a < b goto 103 101 : t : = 0

102 : goto 104

103 : t : = 1

104 :

 

Translation scheme using a numerical representation for booleans

 Boolean Expressions - Intermediate Code Generation, Computer Science and IT Engineering - Computer Science Engineering (CSE)

 

Short-Circuit Code:

We can also translate a boolean expression into three-address code without generating code for any of the boolean operators and without having the code necessarily evaluate the entire expression. This style of evaluation is sometimes called “short-circuit” or “jumping” code. It is possible to evaluate boolean expressions without generating code for the boolean operators and, or, and not if we represent the value of an expression by a position in the code sequence.

Translation of a < b or c < d and e < f

100 : if a < b goto

103 101 : t1 : = 0

102 : goto 104 103 : t1 : = 1

104 : if c < d goto

107 105 : t2 : = 0

106 : goto 108

107 : t2 : = 1

Boolean Expressions - Intermediate Code Generation, Computer Science and IT Engineering - Computer Science Engineering (CSE)

Flow-of-Control Statements

We now consider the translation of boolean expressions into three address code in the context of if-then, if-then-else, and while-do statements such as those generated by the following grammar:

S->ifEthenS1

| if E then S1 else S2

| while E do S1

In each of these productions, E is the Boolean expression to be translated. In the translation, we assume that a three-address statement can be symbolically labeled, and that the function newlabel returns a new symbolic label each time it is called.

  • E.true is the label to which control flows if E is true, and E.false is the label to which control flows if E is false.
  • The semantic rules for translating a flow-of-control statement S allow control to flow from the translation S.code to the three-address instruction immediately following S.code.
  • S.next is a label that is attached to the first three-address instruction to be executed after the code for S.
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FAQs on Boolean Expressions - Intermediate Code Generation, Computer Science and IT Engineering - Computer Science Engineering (CSE)

1. What is intermediate code generation in the context of boolean expressions?
Ans. Intermediate code generation in the context of boolean expressions refers to the process of translating a boolean expression into an intermediate representation that is easier to analyze and can be further translated into machine code or other target languages. This intermediate code serves as a bridge between the high-level boolean expression and the low-level machine code.
2. How does intermediate code generation help in computer science and IT engineering?
Ans. Intermediate code generation plays a crucial role in computer science and IT engineering as it simplifies the compilation process and improves the efficiency of code execution. It allows for easier optimization techniques to be applied to the code, enhances portability, and facilitates the development of compilers for different programming languages.
3. What are some common techniques used in intermediate code generation for boolean expressions?
Ans. Some common techniques used in intermediate code generation for boolean expressions include: - Short-circuit evaluation: This technique takes advantage of the logical operators, such as "and" and "or," to avoid evaluating unnecessary parts of the expression. For example, in the expression "A && B," if A is false, B will not be evaluated. - Operator precedence: Proper handling of operator precedence ensures that the intermediate code accurately represents the intended order of evaluation for the boolean expression. - Temporary variables: Intermediate code generation often involves the use of temporary variables to store intermediate results during evaluation. These variables are typically assigned unique names to avoid conflicts.
4. How does intermediate code generation differ from machine code generation?
Ans. Intermediate code generation and machine code generation are two distinct phases in the compilation process. While intermediate code generation focuses on translating high-level source code into an intermediate representation, machine code generation is concerned with converting the intermediate code into low-level machine code specific to a particular hardware architecture. The intermediate code serves as an abstraction layer that allows for more flexibility and portability, while machine code is directly executable by the computer hardware. Intermediate code can be further optimized or transformed before generating the machine code, enabling better performance and code portability across different platforms.
5. Can you explain the significance of boolean expressions in computer science and IT engineering?
Ans. Boolean expressions are fundamental in computer science and IT engineering as they are extensively used in conditional statements, loops, and logical operations. They allow programmers to control the flow of execution based on the truthfulness or falsity of certain conditions. Boolean expressions are crucial for decision-making, enabling programs to make choices and execute different code paths based on the evaluation of conditions. They are also used for comparisons, filtering data, and implementing complex logical operations. Understanding and effectively using boolean expressions is essential for writing efficient and correct programs in various domains of computer science and IT engineering.
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