Download to read offline
![International Journal of Advanced Engineering, Management and Science (IJAEMS) [Vol-2, Issue-9, Sept- 2016] Infogain Publication (Infogainpublication.com) ISSN : 2454-1311 www.ijaems.com Page | 1408 A Novel Approach for Code Clone Detection Using Hybrid Technique Muneer Ahmad1 , Mudasirahma Dmutto2 1 RN Engineering & Management College Rohtak, Haryana, India 2 Department of CSE, Assistant Professor, SSM College of Engineering &Technology, Jammu and Kashmir, India Abstract— Code clones have been studied for long, and there is strong evidence that they are a major source of software faults. The copying of code has been studied within software engineering mostly in the area of clone analysis. Software clones are regions of source code which are highly similar; these regions of similarity are called clones, clone classes, or clone pairs In this paper a hybrid approach using metric based technique with the combination of text based technique for detection and reporting of clones is proposed. The Proposed work is divided into two stages selection of potential clones and comparing of potential clones using textual comparison. The proposed technique detects exact clones on the basis of metric match and then by text match. Keywords— code clone, Hybrid, Textual clones, Functional clone. I. INTRODUCTION Code clones have been studied for long, and there is strong evidence that they are a major source of software faults. The copying of code has been studied within software engineering mostly in the area of clone analysis. Software clones are regions of source code which are highly similar; these regions of similarity are called clones, clone classes, or clone pairs. There are several reasons why two regions of code may be similar, the majority of the clone analysis literature attributes cloning activity to the intentional copying and duplication of code by programmers; clones may also be attributable to automatically generated code, or the constraints imposed by the use of a particular framework or library. Software clones are important aspects in software evolution. If a system is to be evolved, its clones should be known in order to make consistent changes. Cloning is often a strategic means for evolution. Recently, various clone detection techniques have been subject to empirical comparisons to compare how well they perform. Cloning works at the cost of increasing lines of code without adding to overall productivity. It results to excessive maintenance cost. Along with these negative impacts Due to unnecessary increase in complexity and length it becomes more difficult to edit the code hence, leading to increased human errors, high maintenance cost, forgotten or overlooked codes, and increased size of the code. Also along with the duplication of code it also duplicates the errors thus increasing the errors in the code file and decreasing its efficiency. Identifying code clones serves many purposes, including studying code evolution, performing plagiarism detection, enabling refactoring such as procedure ex-traction, and performing defect tracking and repair. Most previous work on code-clone detection has focused on finding identical clones, or clones that could be made identical via consistent transformations of identifiers and literals. However, code segments that are similar but not identical occur often in practice, and finding such non-identical clones can be as important as finding identical code segments. The basic classification of the clones can be summed up in two categories Textual clones and Functional clone. There are number of developers that have studied the techniques for the detection of the clones and there are number of approaches for the purpose of clone detection in any program. Few of them being Textual approach, Token-Based approach, Syntactic approach and Semantic approach. Clone Detection Approaches Textual Approach String Based Approach Parameterized approach Simple Line approach Lexical/ Token Based Approach Syntactic Approach Sementic Approach hybrid approach](https://image.slidesharecdn.com/1anovelapproachforcodeclonedetectionusinghybridtechnique-160906114300/75/A-Novel-Approach-for-Code-Clone-Detection-Using-Hybrid-Technique-1-2048.jpg)
![International Journal of Advanced Engineering, Management and Science (IJAEMS) [Vol-2, Issue-9, Sept- 2016] Infogain Publication (Infogainpublication.com) ISSN : 2454-1311 www.ijaems.com Page | 1409 II. CLONE DETECTION PROCESS Clone detection process involves several steps that are: • Pre-processing • Transformation • Extraction • Normalization • Match-detection • Formatting • Post-processing • Aggregation III. RELATED WORK PriyankaBatta[1] Software Clone detection helps in detecting duplicate code from applications. Cloning creates problem when a bug is found in one code segment that was copied and pasted at several locations earlier. The objective of this study is to analyze the working of hybrid clone detection technique that design and analyze a hybrid technique for detecting software clone in an application. A model will be designed to automate the concept of clone detection. Ali Selahmat and Norfaradilla Wahid [2] as the number of web pages increases across time number of clones among source code also increases. Aim is to be familiar with ontology mapping technique to solve the clone detection between files of different systems. Florian Deissenboeck et al[3] Cloned code is considered harmful for two reasons: (1) multiple,possibly unnecessary, duplicates of code increase maintenancecosts and, (2) inconsistent changes to cloned code can create faults and, hence, lead to incorrect program behavior. Based on an industrial case study undertaken with the BMW Group, this paper details on these challenges and presents solutions to the most pressing ones, namely scalability and relevance of the results. Moreover, we present tool support that eases the evaluation of detection results and thereby helps to make clone detection a standard technique in modelbased quality assurance. Chanchal K. Roy, et al [4] They provide a qualitative comparison and evaluation of the current state-of-the-art inclone detection techniques and tools, and organize the large amount of information into a coherentconceptual framework. Shinji Kawaguchi,et al [5] code clones decrease the maintainability and reliability of software programs, thus it is being regarded as one of the major factors to increase development/maintenance cost. HoanAnh Nguyen, et al [6] Structure-oriented approaches in clone detection have becomePopular in both code- based and model-based clone detection. However, existing methods for capturing structural information in software artifacts are either too computationally expensive to be efficient or too light-weight to be accurate in clone detection. IV. OBJECTIVE AND METHODOLOGY OF THE WORK The main objective of the study is to create a clone detection technique that is compatible with multiple languages and to propose a novel clone detection technique for Object Oriented and Platform Independent Language i.e. Java and Web application based Languages i.e. JSP (Java Server Pages), asp.net, html, PHP. The method used to achieve this objective includes Implementation of a hybrid approach for finding the clones in various languages and then finding software metrics like line of code (loc), Source line of code (sloc), cyclic complexity (CC), function calls, number of operators, number of operands, number of variables etc. from the two files or applications and then the Comparison of these metrics for potential clones is performed; if there is match then go for textual comparison i.e. two source files are compared line by line to check for clones detection; if match found then print that line as clone. Otherwise there is no clone in the code. Performance Metrics Performance metrics gives the identification of potential clone in both the testing files. If there is existence of some potential clone then only we can do the textual line by line comparison of the two files. If there is no common performance metrics that means; there is no potential clone and we don’t go for the textual comparison. This will save the time and gives efficient results. There are several parameters that are used in the code clone detection techniques. Some of these parameters are LOC: No of lines in code, Public Variables, Private Variables, Protected Variables, Public Functions, Private Functions, Protected functions, If statements, Loop Statements, Redirect statements The proposed Clone detection algorithm:](https://image.slidesharecdn.com/1anovelapproachforcodeclonedetectionusinghybridtechnique-160906114300/75/A-Novel-Approach-for-Code-Clone-Detection-Using-Hybrid-Technique-2-2048.jpg)
![International Journal of Advanced Engineering, Management and Science (IJAEMS) [Vol-2, Issue-9, Sept- 2016] Infogain Publication (Infogainpublication.com) ISSN : 2454-1311 www.ijaems.com Page | 1409 II. CLONE DETECTION PROCESS Clone detection process involves several steps that are: • Pre-processing • Transformation • Extraction • Normalization • Match-detection • Formatting • Post-processing • Aggregation III. RELATED WORK PriyankaBatta[1] Software Clone detection helps in detecting duplicate code from applications. Cloning creates problem when a bug is found in one code segment that was copied and pasted at several locations earlier. The objective of this study is to analyze the working of hybrid clone detection technique that design and analyze a hybrid technique for detecting software clone in an application. A model will be designed to automate the concept of clone detection. Ali Selahmat and Norfaradilla Wahid [2] as the number of web pages increases across time number of clones among source code also increases. Aim is to be familiar with ontology mapping technique to solve the clone detection between files of different systems. Florian Deissenboeck et al[3] Cloned code is considered harmful for two reasons: (1) multiple,possibly unnecessary, duplicates of code increase maintenancecosts and, (2) inconsistent changes to cloned code can create faults and, hence, lead to incorrect program behavior. Based on an industrial case study undertaken with the BMW Group, this paper details on these challenges and presents solutions to the most pressing ones, namely scalability and relevance of the results. Moreover, we present tool support that eases the evaluation of detection results and thereby helps to make clone detection a standard technique in modelbased quality assurance. Chanchal K. Roy, et al [4] They provide a qualitative comparison and evaluation of the current state-of-the-art inclone detection techniques and tools, and organize the large amount of information into a coherentconceptual framework. Shinji Kawaguchi,et al [5] code clones decrease the maintainability and reliability of software programs, thus it is being regarded as one of the major factors to increase development/maintenance cost. HoanAnh Nguyen, et al [6] Structure-oriented approaches in clone detection have becomePopular in both code- based and model-based clone detection. However, existing methods for capturing structural information in software artifacts are either too computationally expensive to be efficient or too light-weight to be accurate in clone detection. IV. OBJECTIVE AND METHODOLOGY OF THE WORK The main objective of the study is to create a clone detection technique that is compatible with multiple languages and to propose a novel clone detection technique for Object Oriented and Platform Independent Language i.e. Java and Web application based Languages i.e. JSP (Java Server Pages), asp.net, html, PHP. The method used to achieve this objective includes Implementation of a hybrid approach for finding the clones in various languages and then finding software metrics like line of code (loc), Source line of code (sloc), cyclic complexity (CC), function calls, number of operators, number of operands, number of variables etc. from the two files or applications and then the Comparison of these metrics for potential clones is performed; if there is match then go for textual comparison i.e. two source files are compared line by line to check for clones detection; if match found then print that line as clone. Otherwise there is no clone in the code. Performance Metrics Performance metrics gives the identification of potential clone in both the testing files. If there is existence of some potential clone then only we can do the textual line by line comparison of the two files. If there is no common performance metrics that means; there is no potential clone and we don’t go for the textual comparison. This will save the time and gives efficient results. There are several parameters that are used in the code clone detection techniques. Some of these parameters are LOC: No of lines in code, Public Variables, Private Variables, Protected Variables, Public Functions, Private Functions, Protected functions, If statements, Loop Statements, Redirect statements The proposed Clone detection algorithm:](https://image.slidesharecdn.com/1anovelapproachforcodeclonedetectionusinghybridtechnique-160906114300/75/A-Novel-Approach-for-Code-Clone-Detection-Using-Hybrid-Technique-3-2048.jpg)
![International Journal of Advanced Engineering, Management and Science (IJAEMS) [Vol-2, Issue-9, Sept- 2016] Infogain Publication (Infogainpublication.com) ISSN : 2454-1311 www.ijaems.com Page | 1409 II. CLONE DETECTION PROCESS Clone detection process involves several steps that are: • Pre-processing • Transformation • Extraction • Normalization • Match-detection • Formatting • Post-processing • Aggregation III. RELATED WORK PriyankaBatta[1] Software Clone detection helps in detecting duplicate code from applications. Cloning creates problem when a bug is found in one code segment that was copied and pasted at several locations earlier. The objective of this study is to analyze the working of hybrid clone detection technique that design and analyze a hybrid technique for detecting software clone in an application. A model will be designed to automate the concept of clone detection. Ali Selahmat and Norfaradilla Wahid [2] as the number of web pages increases across time number of clones among source code also increases. Aim is to be familiar with ontology mapping technique to solve the clone detection between files of different systems. Florian Deissenboeck et al[3] Cloned code is considered harmful for two reasons: (1) multiple,possibly unnecessary, duplicates of code increase maintenancecosts and, (2) inconsistent changes to cloned code can create faults and, hence, lead to incorrect program behavior. Based on an industrial case study undertaken with the BMW Group, this paper details on these challenges and presents solutions to the most pressing ones, namely scalability and relevance of the results. Moreover, we present tool support that eases the evaluation of detection results and thereby helps to make clone detection a standard technique in modelbased quality assurance. Chanchal K. Roy, et al [4] They provide a qualitative comparison and evaluation of the current state-of-the-art inclone detection techniques and tools, and organize the large amount of information into a coherentconceptual framework. Shinji Kawaguchi,et al [5] code clones decrease the maintainability and reliability of software programs, thus it is being regarded as one of the major factors to increase development/maintenance cost. HoanAnh Nguyen, et al [6] Structure-oriented approaches in clone detection have becomePopular in both code- based and model-based clone detection. However, existing methods for capturing structural information in software artifacts are either too computationally expensive to be efficient or too light-weight to be accurate in clone detection. IV. OBJECTIVE AND METHODOLOGY OF THE WORK The main objective of the study is to create a clone detection technique that is compatible with multiple languages and to propose a novel clone detection technique for Object Oriented and Platform Independent Language i.e. Java and Web application based Languages i.e. JSP (Java Server Pages), asp.net, html, PHP. The method used to achieve this objective includes Implementation of a hybrid approach for finding the clones in various languages and then finding software metrics like line of code (loc), Source line of code (sloc), cyclic complexity (CC), function calls, number of operators, number of operands, number of variables etc. from the two files or applications and then the Comparison of these metrics for potential clones is performed; if there is match then go for textual comparison i.e. two source files are compared line by line to check for clones detection; if match found then print that line as clone. Otherwise there is no clone in the code. Performance Metrics Performance metrics gives the identification of potential clone in both the testing files. If there is existence of some potential clone then only we can do the textual line by line comparison of the two files. If there is no common performance metrics that means; there is no potential clone and we don’t go for the textual comparison. This will save the time and gives efficient results. There are several parameters that are used in the code clone detection techniques. Some of these parameters are LOC: No of lines in code, Public Variables, Private Variables, Protected Variables, Public Functions, Private Functions, Protected functions, If statements, Loop Statements, Redirect statements The proposed Clone detection algorithm:](https://image.slidesharecdn.com/1anovelapproachforcodeclonedetectionusinghybridtechnique-160906114300/75/A-Novel-Approach-for-Code-Clone-Detection-Using-Hybrid-Technique-4-2048.jpg)
Uploaded byINFOGAIN PUBLICATION
A Novel Approach for Code Clone Detection Using Hybrid Technique
The document presents a novel hybrid approach for code clone detection that combines metric-based and text-based techniques to identify software code clones, which are sources of software faults. The methodology involves pre-processing, transformation, normalization, and textual comparison for detecting potential clones in various programming languages. This technique aims to enhance efficiency in clone detection, aiding in software maintenance and reducing associated costs.
A Novel Approach for Code Clone Detection Using Hybrid Technique
- 1. International Journal ofAdvanced Engineering, Management and Science (IJAEMS) [Vol-2, Issue-9, Sept- 2016] Infogain Publication (Infogainpublication.com) ISSN : 2454-1311 www.ijaems.com Page | 1408 A Novel Approach for Code Clone Detection Using Hybrid Technique Muneer Ahmad1 , Mudasirahma Dmutto2 1 RN Engineering & Management College Rohtak, Haryana, India 2 Department of CSE, Assistant Professor, SSM College of Engineering &Technology, Jammu and Kashmir, India Abstract— Code clones have been studied for long, and there is strong evidence that they are a major source of software faults. The copying of code has been studied within software engineering mostly in the area of clone analysis. Software clones are regions of source code which are highly similar; these regions of similarity are called clones, clone classes, or clone pairs In this paper a hybrid approach using metric based technique with the combination of text based technique for detection and reporting of clones is proposed. The Proposed work is divided into two stages selection of potential clones and comparing of potential clones using textual comparison. The proposed technique detects exact clones on the basis of metric match and then by text match. Keywords— code clone, Hybrid, Textual clones, Functional clone. I. INTRODUCTION Code clones have been studied for long, and there is strong evidence that they are a major source of software faults. The copying of code has been studied within software engineering mostly in the area of clone analysis. Software clones are regions of source code which are highly similar; these regions of similarity are called clones, clone classes, or clone pairs. There are several reasons why two regions of code may be similar, the majority of the clone analysis literature attributes cloning activity to the intentional copying and duplication of code by programmers; clones may also be attributable to automatically generated code, or the constraints imposed by the use of a particular framework or library. Software clones are important aspects in software evolution. If a system is to be evolved, its clones should be known in order to make consistent changes. Cloning is often a strategic means for evolution. Recently, various clone detection techniques have been subject to empirical comparisons to compare how well they perform. Cloning works at the cost of increasing lines of code without adding to overall productivity. It results to excessive maintenance cost. Along with these negative impacts Due to unnecessary increase in complexity and length it becomes more difficult to edit the code hence, leading to increased human errors, high maintenance cost, forgotten or overlooked codes, and increased size of the code. Also along with the duplication of code it also duplicates the errors thus increasing the errors in the code file and decreasing its efficiency. Identifying code clones serves many purposes, including studying code evolution, performing plagiarism detection, enabling refactoring such as procedure ex-traction, and performing defect tracking and repair. Most previous work on code-clone detection has focused on finding identical clones, or clones that could be made identical via consistent transformations of identifiers and literals. However, code segments that are similar but not identical occur often in practice, and finding such non-identical clones can be as important as finding identical code segments. The basic classification of the clones can be summed up in two categories Textual clones and Functional clone. There are number of developers that have studied the techniques for the detection of the clones and there are number of approaches for the purpose of clone detection in any program. Few of them being Textual approach, Token-Based approach, Syntactic approach and Semantic approach. Clone Detection Approaches Textual Approach String Based Approach Parameterized approach Simple Line approach Lexical/ Token Based Approach Syntactic Approach Sementic Approach hybrid approach
- 2. International Journal ofAdvanced Engineering, Management and Science (IJAEMS) [Vol-2, Issue-9, Sept- 2016] Infogain Publication (Infogainpublication.com) ISSN : 2454-1311 www.ijaems.com Page | 1409 II. CLONE DETECTION PROCESS Clone detection process involves several steps that are: • Pre-processing • Transformation • Extraction • Normalization • Match-detection • Formatting • Post-processing • Aggregation III. RELATED WORK PriyankaBatta[1] Software Clone detection helps in detecting duplicate code from applications. Cloning creates problem when a bug is found in one code segment that was copied and pasted at several locations earlier. The objective of this study is to analyze the working of hybrid clone detection technique that design and analyze a hybrid technique for detecting software clone in an application. A model will be designed to automate the concept of clone detection. Ali Selahmat and Norfaradilla Wahid [2] as the number of web pages increases across time number of clones among source code also increases. Aim is to be familiar with ontology mapping technique to solve the clone detection between files of different systems. Florian Deissenboeck et al[3] Cloned code is considered harmful for two reasons: (1) multiple,possibly unnecessary, duplicates of code increase maintenancecosts and, (2) inconsistent changes to cloned code can create faults and, hence, lead to incorrect program behavior. Based on an industrial case study undertaken with the BMW Group, this paper details on these challenges and presents solutions to the most pressing ones, namely scalability and relevance of the results. Moreover, we present tool support that eases the evaluation of detection results and thereby helps to make clone detection a standard technique in modelbased quality assurance. Chanchal K. Roy, et al [4] They provide a qualitative comparison and evaluation of the current state-of-the-art inclone detection techniques and tools, and organize the large amount of information into a coherentconceptual framework. Shinji Kawaguchi,et al [5] code clones decrease the maintainability and reliability of software programs, thus it is being regarded as one of the major factors to increase development/maintenance cost. HoanAnh Nguyen, et al [6] Structure-oriented approaches in clone detection have becomePopular in both code- based and model-based clone detection. However, existing methods for capturing structural information in software artifacts are either too computationally expensive to be efficient or too light-weight to be accurate in clone detection. IV. OBJECTIVE AND METHODOLOGY OF THE WORK The main objective of the study is to create a clone detection technique that is compatible with multiple languages and to propose a novel clone detection technique for Object Oriented and Platform Independent Language i.e. Java and Web application based Languages i.e. JSP (Java Server Pages), asp.net, html, PHP. The method used to achieve this objective includes Implementation of a hybrid approach for finding the clones in various languages and then finding software metrics like line of code (loc), Source line of code (sloc), cyclic complexity (CC), function calls, number of operators, number of operands, number of variables etc. from the two files or applications and then the Comparison of these metrics for potential clones is performed; if there is match then go for textual comparison i.e. two source files are compared line by line to check for clones detection; if match found then print that line as clone. Otherwise there is no clone in the code. Performance Metrics Performance metrics gives the identification of potential clone in both the testing files. If there is existence of some potential clone then only we can do the textual line by line comparison of the two files. If there is no common performance metrics that means; there is no potential clone and we don’t go for the textual comparison. This will save the time and gives efficient results. There are several parameters that are used in the code clone detection techniques. Some of these parameters are LOC: No of lines in code, Public Variables, Private Variables, Protected Variables, Public Functions, Private Functions, Protected functions, If statements, Loop Statements, Redirect statements The proposed Clone detection algorithm:
- 3. International Journal ofAdvanced Engineering, Management and Science (IJAEMS) [Vol-2, Issue-9, Sept- 2016] Infogain Publication (Infogainpublication.com) ISSN : 2454-1311 www.ijaems.com Page | 1409 II. CLONE DETECTION PROCESS Clone detection process involves several steps that are: • Pre-processing • Transformation • Extraction • Normalization • Match-detection • Formatting • Post-processing • Aggregation III. RELATED WORK PriyankaBatta[1] Software Clone detection helps in detecting duplicate code from applications. Cloning creates problem when a bug is found in one code segment that was copied and pasted at several locations earlier. The objective of this study is to analyze the working of hybrid clone detection technique that design and analyze a hybrid technique for detecting software clone in an application. A model will be designed to automate the concept of clone detection. Ali Selahmat and Norfaradilla Wahid [2] as the number of web pages increases across time number of clones among source code also increases. Aim is to be familiar with ontology mapping technique to solve the clone detection between files of different systems. Florian Deissenboeck et al[3] Cloned code is considered harmful for two reasons: (1) multiple,possibly unnecessary, duplicates of code increase maintenancecosts and, (2) inconsistent changes to cloned code can create faults and, hence, lead to incorrect program behavior. Based on an industrial case study undertaken with the BMW Group, this paper details on these challenges and presents solutions to the most pressing ones, namely scalability and relevance of the results. Moreover, we present tool support that eases the evaluation of detection results and thereby helps to make clone detection a standard technique in modelbased quality assurance. Chanchal K. Roy, et al [4] They provide a qualitative comparison and evaluation of the current state-of-the-art inclone detection techniques and tools, and organize the large amount of information into a coherentconceptual framework. Shinji Kawaguchi,et al [5] code clones decrease the maintainability and reliability of software programs, thus it is being regarded as one of the major factors to increase development/maintenance cost. HoanAnh Nguyen, et al [6] Structure-oriented approaches in clone detection have becomePopular in both code- based and model-based clone detection. However, existing methods for capturing structural information in software artifacts are either too computationally expensive to be efficient or too light-weight to be accurate in clone detection. IV. OBJECTIVE AND METHODOLOGY OF THE WORK The main objective of the study is to create a clone detection technique that is compatible with multiple languages and to propose a novel clone detection technique for Object Oriented and Platform Independent Language i.e. Java and Web application based Languages i.e. JSP (Java Server Pages), asp.net, html, PHP. The method used to achieve this objective includes Implementation of a hybrid approach for finding the clones in various languages and then finding software metrics like line of code (loc), Source line of code (sloc), cyclic complexity (CC), function calls, number of operators, number of operands, number of variables etc. from the two files or applications and then the Comparison of these metrics for potential clones is performed; if there is match then go for textual comparison i.e. two source files are compared line by line to check for clones detection; if match found then print that line as clone. Otherwise there is no clone in the code. Performance Metrics Performance metrics gives the identification of potential clone in both the testing files. If there is existence of some potential clone then only we can do the textual line by line comparison of the two files. If there is no common performance metrics that means; there is no potential clone and we don’t go for the textual comparison. This will save the time and gives efficient results. There are several parameters that are used in the code clone detection techniques. Some of these parameters are LOC: No of lines in code, Public Variables, Private Variables, Protected Variables, Public Functions, Private Functions, Protected functions, If statements, Loop Statements, Redirect statements The proposed Clone detection algorithm:
- 4. International Journal ofAdvanced Engineering, Management and Science (IJAEMS) [Vol-2, Issue-9, Sept- 2016] Infogain Publication (Infogainpublication.com) ISSN : 2454-1311 www.ijaems.com Page | 1409 II. CLONE DETECTION PROCESS Clone detection process involves several steps that are: • Pre-processing • Transformation • Extraction • Normalization • Match-detection • Formatting • Post-processing • Aggregation III. RELATED WORK PriyankaBatta[1] Software Clone detection helps in detecting duplicate code from applications. Cloning creates problem when a bug is found in one code segment that was copied and pasted at several locations earlier. The objective of this study is to analyze the working of hybrid clone detection technique that design and analyze a hybrid technique for detecting software clone in an application. A model will be designed to automate the concept of clone detection. Ali Selahmat and Norfaradilla Wahid [2] as the number of web pages increases across time number of clones among source code also increases. Aim is to be familiar with ontology mapping technique to solve the clone detection between files of different systems. Florian Deissenboeck et al[3] Cloned code is considered harmful for two reasons: (1) multiple,possibly unnecessary, duplicates of code increase maintenancecosts and, (2) inconsistent changes to cloned code can create faults and, hence, lead to incorrect program behavior. Based on an industrial case study undertaken with the BMW Group, this paper details on these challenges and presents solutions to the most pressing ones, namely scalability and relevance of the results. Moreover, we present tool support that eases the evaluation of detection results and thereby helps to make clone detection a standard technique in modelbased quality assurance. Chanchal K. Roy, et al [4] They provide a qualitative comparison and evaluation of the current state-of-the-art inclone detection techniques and tools, and organize the large amount of information into a coherentconceptual framework. Shinji Kawaguchi,et al [5] code clones decrease the maintainability and reliability of software programs, thus it is being regarded as one of the major factors to increase development/maintenance cost. HoanAnh Nguyen, et al [6] Structure-oriented approaches in clone detection have becomePopular in both code- based and model-based clone detection. However, existing methods for capturing structural information in software artifacts are either too computationally expensive to be efficient or too light-weight to be accurate in clone detection. IV. OBJECTIVE AND METHODOLOGY OF THE WORK The main objective of the study is to create a clone detection technique that is compatible with multiple languages and to propose a novel clone detection technique for Object Oriented and Platform Independent Language i.e. Java and Web application based Languages i.e. JSP (Java Server Pages), asp.net, html, PHP. The method used to achieve this objective includes Implementation of a hybrid approach for finding the clones in various languages and then finding software metrics like line of code (loc), Source line of code (sloc), cyclic complexity (CC), function calls, number of operators, number of operands, number of variables etc. from the two files or applications and then the Comparison of these metrics for potential clones is performed; if there is match then go for textual comparison i.e. two source files are compared line by line to check for clones detection; if match found then print that line as clone. Otherwise there is no clone in the code. Performance Metrics Performance metrics gives the identification of potential clone in both the testing files. If there is existence of some potential clone then only we can do the textual line by line comparison of the two files. If there is no common performance metrics that means; there is no potential clone and we don’t go for the textual comparison. This will save the time and gives efficient results. There are several parameters that are used in the code clone detection techniques. Some of these parameters are LOC: No of lines in code, Public Variables, Private Variables, Protected Variables, Public Functions, Private Functions, Protected functions, If statements, Loop Statements, Redirect statements The proposed Clone detection algorithm: