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Unlike a compiled language like C++ or C, PHP code is not compiled directly to machine code. In fact, it is compiled to an intermediary bytecode which is later interpreted by the PHP runtime engine. This evaluation process allows PHP to be easily, quickly and efficiently ported to a several different platforms [0-40].

Figure 1 Unlike a compiled language like C++ or C, PHP code is not compiled directly to machine code. In fact, it is compiled to an intermediary bytecode which is later interpreted by the PHP runtime engine. This evaluation process allows PHP to be easily, quickly and efficiently ported to a several different platforms [0-40].

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Figure 2: C++ language Evaluation process C++ compilation process consists of four steps as the following figure illustrates [0-35]
Figure 2: C++ language Evaluation process C++ compilation process consists of four steps as the following figure illustrates [0-35]
As we can see from the previous figure, languages using .net framework compile the code in the same way. For example the code written in visual basic language first gets converted into Microsoft intermediate language. This code get transferred to CLR which is common language runtime for .net framework and then converted into machine native code.[C-13] Visual basic is not a part of the .net framework so IT will compile and execute in the same manner as other languages that run on .net framework like C#.
As we can see from the previous figure, languages using .net framework compile the code in the same way. For example the code written in visual basic language first gets converted into Microsoft intermediate language. This code get transferred to CLR which is common language runtime for .net framework and then converted into machine native code.[C-13] Visual basic is not a part of the .net framework so IT will compile and execute in the same manner as other languages that run on .net framework like C#.
The compilers available for java is as shown below.
The compilers available for java is as shown below.
Table 2 : IDE’s available for Java
Table 2 : IDE’s available for Java
Table 1 : compilers available for java
Table 1 : compilers available for java
Since Python language and its interpreter can be easily extended, there are several different packages of python available catering to different purposes. The most prominent ones are included below.
Since Python language and its interpreter can be easily extended, there are several different packages of python available catering to different purposes. The most prominent ones are included below.
Table 3 :Different packages of python
Table 3 :Different packages of python
There are also many ide’s available for Python. A brief list is as shown below.
There are also many ide’s available for Python. A brief list is as shown below.
Table 4 : Different ide’s available for Python
Table 4 : Different ide’s available for Python
Typing Strategies and Memory Management
Typing Strategies and Memory Management
Figure 5 : Execution Time Comparisons in 6 Languages (DFS) Table 5 : Execution Time Comparisons in 6 Languages (DFS)
Figure 5 : Execution Time Comparisons in 6 Languages (DFS) Table 5 : Execution Time Comparisons in 6 Languages (DFS)
Execution Time Comparisons (ms):
Execution Time Comparisons (ms):
Figure 6 : Memory Comparisons in 6 Languages (DFS) Memory Comparison (kb):
Figure 6 : Memory Comparisons in 6 Languages (DFS) Memory Comparison (kb):
Table 7 : Execution Time Comparisons in 6 Languages (BFS) Execution Time Comparisons (ms) :
Table 7 : Execution Time Comparisons in 6 Languages (BFS) Execution Time Comparisons (ms) :
Figure 7 : Execution Time Comparisons in 6 Languages (BFS)
Figure 7 : Execution Time Comparisons in 6 Languages (BFS)
Table 8 : Memory Comparisons in 6 Languages (BFS) Memory Comparisons (kb):
Table 8 : Memory Comparisons in 6 Languages (BFS) Memory Comparisons (kb):
Table 10 : Memory Comparisons in 6 Languages (Kruskal’s Algorithm) Memory Comparisons (kb):
Table 10 : Memory Comparisons in 6 Languages (Kruskal’s Algorithm) Memory Comparisons (kb):
Figure 10 : Memory Comparisons in 6 Languages (Kruskal’s Algorithm) Analysis:
Figure 10 : Memory Comparisons in 6 Languages (Kruskal’s Algorithm) Analysis:
Execution Time for Writing Operation with fixed Size of records:
Execution Time for Writing Operation with fixed Size of records:
Figure 11: Execution Time for Writing Operation in 6 Languages (with fixed Size of records) Graph Presentation: Table 11 : Execution Time for Writing Operation in 6 Languages (with fixed Size of records)
Figure 11: Execution Time for Writing Operation in 6 Languages (with fixed Size of records) Graph Presentation: Table 11 : Execution Time for Writing Operation in 6 Languages (with fixed Size of records)
Figure 12 : Execution Time for Reading Operation in 6 Languages (with fixed Size of records) Graph Presentation:
Figure 12 : Execution Time for Reading Operation in 6 Languages (with fixed Size of records) Graph Presentation:
Table 12 : Execution Time for Reading Operation in 6 Languages (with fixed Size of records) Execution Time for Reading Operation with fixed Size of records
Table 12 : Execution Time for Reading Operation in 6 Languages (with fixed Size of records) Execution Time for Reading Operation with fixed Size of records
Graph presentation: Figure 13 : Execution Time for Writing Operation in 6 Languages (with fixed number of Records) Table 13 : Execution Time for Writing Operation in 6 Languages (with fixed number of Records)
Graph presentation: Figure 13 : Execution Time for Writing Operation in 6 Languages (with fixed number of Records) Table 13 : Execution Time for Writing Operation in 6 Languages (with fixed number of Records)
Execution Time of write operation with fixed number of Records[10000 records]:
Execution Time of write operation with fixed number of Records[10000 records]:
Execution Time of Read operation with fixed number of Records[10000 records]:
Execution Time of Read operation with fixed number of Records[10000 records]:
Graphs: Figure 14 : Execution Time for Reading Operation in 6 Languages (with fixed number of Records) Table 14 : Execution Time for Reading Operation in 6 Languages (with fixed number of Records)
Graphs: Figure 14 : Execution Time for Reading Operation in 6 Languages (with fixed number of Records) Table 14 : Execution Time for Reading Operation in 6 Languages (with fixed number of Records)
Execution time for Write operation:
Execution time for Write operation:
Table 15 : Execution Time for Writing Operation in 6 Languages (Increasing size and number of records)
Table 15 : Execution Time for Writing Operation in 6 Languages (Increasing size and number of records)
Execution Time for Read operation: Figure 16 : Execution Time for Reading Operation in 6 Languages (Increasing size and number of records)
Execution Time for Read operation: Figure 16 : Execution Time for Reading Operation in 6 Languages (Increasing size and number of records)
Table 16 : Execution Time for Reading Operation in 6 Languages (Increasing size and number of records)
Table 16 : Execution Time for Reading Operation in 6 Languages (Increasing size and number of records)
Figure 18 : Main GUI's components using Eclipse + HTML (PHP).
Figure 18 : Main GUI's components using Eclipse + HTML (PHP).
Figure 20 : Main GUI's components using Java NetBeans IDE (Swing) .
Figure 20 : Main GUI's components using Java NetBeans IDE (Swing) .
Figure 21 : Main GUI's components using TKinter Python Python development (TKinter):
Figure 21 : Main GUI's components using TKinter Python Python development (TKinter):
Table 17 : Language Features Comparison
Table 17 : Language Features Comparison
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