COBOL To Prolog Converter
Other COBOL Converters
What Is COBOL To Prolog Converter?
A COBOL to Prolog converter is an online tool designed to help translate COBOL code into Prolog. This tool uses advanced technologies such as generative AI, machine learning, and natural language processing. The conversion process is important for maintaining legacy systems while also incorporating modern programming languages like Prolog.
The conversion occurs through a three-step process:
- Input: You start by providing the COBOL code that needs to be transformed, ensuring that all necessary components of the code are included for an accurate conversion.
- Processing: The tool then analyzes the syntax and semantics of the COBOL code. This analysis involves breaking down the original code into understandable parts, which allows the converter to map COBOL constructs to their Prolog equivalents effectively.
- Output: Finally, the converted Prolog code is presented to you. This output can be used directly or refined further to meet specific requirements.
How Is COBOL Different From Prolog?
COBOL, an acronym for Common Business Oriented Language, is a procedural programming language that has been a cornerstone in business, finance, and administrative systems utilized by governments and corporations for decades. Its main advantage lies in its ability to process large volumes of data efficiently while maintaining a level of readability that makes it easier for developers and analysts to understand. This characteristic makes COBOL especially valuable for handling expansive legacy systems that are foundational to many organizations’ operations. In contrast, Prolog is a logic programming language that takes a fundamentally different approach. It excels in exploring complex relationships and dependencies, often requiring an analytical mindset that differs from traditional coding practices.
To better understand the distinctions between COBOL and Prolog, consider the following key features:
- Paradigm: COBOL operates within an imperative programming framework, which means it focuses on a sequence of commands to change a program’s state. Prolog, however, uses a declarative paradigm that emphasizes what the program should achieve rather than how to achieve it, leading to more intuitive problem-solving.
- Syntax: The syntax of COBOL is known for its verbosity, which prioritizes clarity and description, making the code self-explanatory. Meanwhile, Prolog’s syntax is more concise and structured, focusing on logical statements that facilitate reasoning.
- Data Handling: COBOL is specially designed to handle structured data, often found in extensive databases and enterprise environments. Prolog, on the other hand, focuses on knowledge representation and logical inference, allowing it to simulate human-like reasoning processes in applications such as AI.
- Use Cases: COBOL is frequently employed for batch processing tasks common in business applications, while Prolog finds its strength in areas like artificial intelligence and natural language processing, where understanding context and relationships is key.
| Feature | COBOL | Prolog |
|---|---|---|
| Paradigm | Imperative | Declarative |
| Syntax | Verbose | Concise |
| Data Handling | Structured data processing | Logical inference |
| Use Cases | Business applications | AI and NLP |
How Does Minary’s COBOL To Prolog Converter Work?
The Minary’s AI COBOL To Prolog converter operates through a streamlined process designed for efficiency. Start by filling out the “Describe the task in detail” field on the left side of the interface. Here, you can provide a comprehensive explanation of the COBOL code or functionality you want to translate into Prolog. The more detailed your description, the better the results will be.
Once you’ve entered your task, simply click on the “Generate” button. The generator processes your request and swiftly outputs the equivalent Prolog code on the right side of the screen. With a quick glance, you can examine the generated code. If it meets your needs, a convenient “Copy” button at the bottom enables you to easily transfer the code to your workspace.
Additionally, the tool features feedback vote buttons. If you find the code helpful and effective, you can provide positive feedback. Conversely, if the result doesn’t quite hit the mark, you can express your critique as well. This input plays a vital role in refining the generator’s performance, as it trains Minary’s AI to yield better results in future conversions.
For example, if you’re transitioning a COBOL program that processes employee data into Prolog, you might describe the task like this: “Convert COBOL employee record handling code that computes salaries based on hours worked into Prolog predicates.” Upon clicking generate, you’ll receive the corresponding Prolog code tailored to your description, allowing for both immediate usability and further customization.
Examples Of Converted Code From COBOL To Prolog
PROGRAM-ID. ShoppingListCalculator.
ENVIRONMENT DIVISION.
INPUT-OUTPUT SECTION.
FILE-CONTROL.
SELECT Item-FILE ASSIGN TO “ITEMS.DAT”
ORGANIZATION IS LINE SEQUENTIAL.
DATA DIVISION.
FILE SECTION.
FD Item-FILE.
01 Item-Record.
05 Item-Name PIC X(30).
05 Item-Price PIC 9(5)V99.
05 Item-Quantity PIC 9(3).
05 Total-Item-Cost PIC 9(7)V99.
WORKING-STORAGE SECTION.
01 WS-Total-Cost PIC 9(7)V99 VALUE 0.
01 WS-Item-Count PIC 9(3) VALUE 0.
01 WS-Continue PIC X(1) VALUE ‘Y’.
PROCEDURE DIVISION.
MAIN-PARAGRAPH.
PERFORM UNTIL WS-Continue NOT = ‘Y’
DISPLAY “Enter item name (or type ‘DONE’ to finish): ”
ACCEPT Item-Name
IF Item-Name = “DONE”
MOVE ‘N’ TO WS-Continue
ELSE
DISPLAY “Enter item price: ”
ACCEPT Item-Price
DISPLAY “Enter item quantity: ”
ACCEPT Item-Quantity
COMPUTE Total-Item-Cost = Item-Price * Item-Quantity
COMPUTE WS-Total-Cost = WS-Total-Cost + Total-Item-Cost
ADD 1 TO WS-Item-Count
DISPLAY “Item Name: “, Item-Name
DISPLAY “Item Price: “, Item-Price
DISPLAY “Item Quantity: “, Item-Quantity
DISPLAY “Total Cost for this item: “, Total-Item-Cost
WRITE Item-Record FROM Item-Record
END-IF
END-PERFORM.
DISPLAY “Total items purchased: “, WS-Item-Count
DISPLAY “Total cost of shopping list: “, WS-Total-Cost.
STOP RUN.
:- dynamic total_cost/1.
:- dynamic item_count/1.
:- dynamic continue/1.
start :-
assert(total_cost(0)),
assert(item_count(0)),
assert(continue(‘Y’)),
main_paragraph.
main_paragraph :-
continue(‘Y’),
write(‘Enter item name (or type “DONE” to finish): ‘),
flush_output,
read(ItemName),
(ItemName == done ->
retract(continue(‘Y’)),
assert(continue(‘N’));
write(‘Enter item price: ‘),
flush_output,
read(ItemPrice),
write(‘Enter item quantity: ‘),
flush_output,
read(ItemQuantity),
TotalItemCost is ItemPrice * ItemQuantity,
total_cost(CurrentTotalCost),
NewTotalCost is CurrentTotalCost + TotalItemCost,
retract(total_cost(CurrentTotalCost)),
assert(total_cost(NewTotalCost)),
item_count(CurrentItemCount),
NewItemCount is CurrentItemCount + 1,
retract(item_count(CurrentItemCount)),
assert(item_count(NewItemCount)),
writeln([‘Item Name: ‘, ItemName]),
writeln([‘Item Price: ‘, ItemPrice]),
writeln([‘Item Quantity: ‘, ItemQuantity]),
writeln([‘Total Cost for this item: ‘, TotalItemCost]),
assert(item(ItemName, ItemPrice, ItemQuantity, TotalItemCost)),
main_paragraph
).
main_paragraph :-
continue(‘N’),
item_count(ItemCount),
total_cost(TotalCost),
writeln([‘Total items purchased: ‘, ItemCount]),
writeln([‘Total cost of shopping list: ‘, TotalCost]).
:- initialization(start).
PROGRAM-ID. EmployeeSalaryReport.
ENVIRONMENT DIVISION.
INPUT-OUTPUT SECTION.
FILE-CONTROL.
SELECT EmployeeFile ASSIGN TO ’employee.dat’
ORGANIZATION IS LINE SEQUENTIAL.
SELECT ReportFile ASSIGN TO ‘report.dat’
ORGANIZATION IS LINE SEQUENTIAL.
DATA DIVISION.
FILE SECTION.
FD EmployeeFile.
01 EmployeeRecord.
05 EmployeeName PIC X(30).
05 EmployeeSalary PIC 9(7)V99.
FD ReportFile.
01 ReportRecord.
05 ReportLine PIC X(40).
WORKING-STORAGE SECTION.
01 TotalSalary PIC 9(7)V99 VALUE 0.
01 EmployeeCount PIC 9(5) VALUE 0.
01 AverageSalary PIC 9(7)V99 VALUE 0.
01 AboveAverageRecord.
05 AboveAverageName PIC X(30).
05 AboveAverageSalary PIC 9(7)V99.
PROCEDURE DIVISION.
BEGIN.
OPEN INPUT EmployeeFile
OPEN OUTPUT ReportFile
PERFORM UNTIL EOF(EmployeeFile)
READ EmployeeFile INTO EmployeeRecord
AT END
MOVE ‘YES’ TO EOFFlag
NOT AT END
ADD EmployeeSalary TO TotalSalary
ADD 1 TO EmployeeCount
END-READ
END-PERFORM
IF EmployeeCount > 0 THEN
COMPUTE AverageSalary = TotalSalary / EmployeeCount
END-IF
REWIND EmployeeFile
PERFORM UNTIL EOFFlag = “YES”
READ EmployeeFile INTO EmployeeRecord
AT END
MOVE ‘YES’ TO EOFFlag
NOT AT END
IF EmployeeSalary > AverageSalary THEN
MOVE EmployeeName TO AboveAverageName
MOVE EmployeeSalary TO AboveAverageSalary
STRING AboveAverageName DELIMITED BY SPACE
” earns ” DELIMITED BY SIZE
AboveAverageSalary DELIMITED BY SIZE
INTO ReportLine
WRITE ReportRecord FROM ReportLine
END-IF
END-READ
END-PERFORM
CLOSE EmployeeFile
CLOSE ReportFile
STOP RUN.
:- dynamic report_record/1.
main :-
open(’employee.dat’, read, EmployeeStream),
open(‘report.dat’, write, ReportStream),
read_employee_data(EmployeeStream, TotalSalary, EmployeeCount),
( EmployeeCount > 0 ->
AverageSalary is TotalSalary / EmployeeCount
; AverageSalary is 0
),
rewind(EmployeeStream),
find_above_average(EmployeeStream, AverageSalary, ReportStream),
close(EmployeeStream),
close(ReportStream).
read_employee_data(Stream, TotalSalary, EmployeeCount) :-
read(EmployeeRecord, Stream),
( EmployeeRecord == end_of_file ->
TotalSalary = 0,
EmployeeCount = 0
;
EmployeeRecord = employee(Name, Salary),
read_employee_data(Stream, RestTotalSalary, RestEmployeeCount),
TotalSalary is Salary + RestTotalSalary,
EmployeeCount is 1 + RestEmployeeCount
).
find_above_average(Stream, AverageSalary, ReportStream) :-
read(EmployeeRecord, Stream),
( EmployeeRecord == end_of_file ->
true
;
EmployeeRecord = employee(Name, Salary),
( Salary > AverageSalary ->
format(ReportStream, ‘~w earns ~2f~n’, [Name, Salary])
; true
),
find_above_average(Stream, AverageSalary, ReportStream)
).
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