Space Complexity of C Compiler and Lex Tool
N.Abirami1, S.Aishwarya2, Z.Mahaboob Asfia3, S.Suseela4
1N.Abirami*, UG Student, Department of Computer Science and Engineering in Periyar Maniammai Institute of Science & Technology (Deemed to be University), Thanjavur, Tamilnadu, India.
2S.Aishwarya, UG Student, Department of Computer Science and Engineering in Periyar Maniammai Institute of Science & Technology (Deemed to be University), Thanjavur, Tamilnadu, India.
3Z.Mahaboob Asfia, UG Student, Department of Computer Science and Engineering in Periyar Maniammai Institute of Science & Technology (Deemed to be University), Thanjavur, Tamilnadu, India.
4S.Suseela, Assistant Professor, Department of Computer Science and Engineering in Periyar Maniammai Institute of Science & Technology (Deemed to be University), Thanjavur, Tamilnadu, India.
Manuscript received on February 27, 2020. | Revised Manuscript received on March 14, 2020. | Manuscript published on March 30, 2020. | PP: 5141-5144 | Volume-8 Issue-6, March 2020. | Retrieval Number: F9752038620/2020©BEIESP | DOI: 10.35940/ijrte.F9752.038620
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: We can never stop stressing on the purpose and the importance of the compiler in the field of computer science. compiler does translates the high level programs like C,C++,java ,python and so on into low level language (machine language ) which in turn computer processor use. Though the job of the compiler is to translate, depending on the properties of the programming languages the time complexity, space complexity and some of the other characteristics varies accordingly. Thus the purpose of the paper is concentrated on comparing such factors significantly the C compiler and the Lex tool. Our study reveals the best memory consumption among c compiler and lex tool.
Keywords: Compiler, Computer Processor, Memory Consumption, Time Complexity.
Scope of the Article: Recent Trends & Developments in Computer Networks.