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An Efficient Context Sensitive Approach for Quality of Source Code and Abstract Identification


Affiliations
1 Department of Computer Science, Sri Ramakrishna Mission Vidyalaya College of Arts and Science, Tamil Nadu, India
 

Objectives: The main objective of this research is to achieve the quality of software code and abstract identification with high precision and recall values among diverse software program documents.

Methods: Improved Context-Sensitive Document Recovery (ICSDR) method is used to discover the more accurate abstract terms as well as produce the high quality of software code.

Findings: The proposed method achieves high performance in terms of precision, recall and accuracy.

Application/Improvements: The proposed system is done by using Improved Context-Sensitive Document Recovery (ICSDR) approcah. ICSDR method is used for identification of relevance abstract terms and improves the quality of source code significantly.


Keywords

Abstraction, Context-Sensitive, Information Retrieval and Source Code Identifier Quality.
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  • An Efficient Context Sensitive Approach for Quality of Source Code and Abstract Identification

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Authors

J. Yesudoss
Department of Computer Science, Sri Ramakrishna Mission Vidyalaya College of Arts and Science, Tamil Nadu, India
M. Pradeep
Department of Computer Science, Sri Ramakrishna Mission Vidyalaya College of Arts and Science, Tamil Nadu, India

Abstract


Objectives: The main objective of this research is to achieve the quality of software code and abstract identification with high precision and recall values among diverse software program documents.

Methods: Improved Context-Sensitive Document Recovery (ICSDR) method is used to discover the more accurate abstract terms as well as produce the high quality of software code.

Findings: The proposed method achieves high performance in terms of precision, recall and accuracy.

Application/Improvements: The proposed system is done by using Improved Context-Sensitive Document Recovery (ICSDR) approcah. ICSDR method is used for identification of relevance abstract terms and improves the quality of source code significantly.


Keywords


Abstraction, Context-Sensitive, Information Retrieval and Source Code Identifier Quality.