NDLI: An effective approach using dissimilarity measures to estimate software code clone

Content Provider	IEEE Xplore Digital Library
Author	Patil, R.V. Joshi, S.D. Shinde, S.V. Khanna, V.
Copyright Year	2015
Description	Author affiliation: Dept..of Comput. Eng., P.D.E.A's C.O.E.M., Pune, India (Shinde, S.V.) \|\| Comput. Eng., BVDUCOE, Pune, India (Joshi, S.D.) \|\| Comput. Eng., Bharath Univ. Chennai, Chennai, India (Patil, R.V.) \|\| Dept. of IT, Bharath Univ., Chennai, India (Khanna, V.)
Abstract	Software based clone detection is in hype as industries demand to such product has risen. Due to code replication means the copy and paste activities, such pattern is recurrent thereby developers can reduce effort and time of rewriting similar code fragment from scratch. In the industrial software system, code replication is found a serious trouble because it may affect on quality, consistency, maintainability and comprehensibility. Thus, efficient approach is needed to detect such replication in distributed environment. The trial here is variety of syntax, compiler dependent language, and various coding styles to solve a single problem. As per the related survey, researchers are finding difficult to evolve code copies, even on regressive benchmarking. The existing software tools have some restrictions to detect perfect code clone. Each software developer may think in different way for the implementation of the same problem. The methodology explained here is to specify an efficient way to detect code clone which is a hybrid model that covers maximum coding behavior and classes of clones. Along with similarity check, the paper describes the importance of dissimilarity detection. Detecting dissimilarity is due to operator or function overloading. Since this is essential feature of a good Object oriented Language. It also discusses key techniques that save time in retrieval and comparison of data, by extracting and arranging code that is mined from code document. The proposed system eliminates efforts of comparing the code line by line between two files, which was followed in traditional algorithm. It defines a reduction technique and code complexity based analysis which increases the probability of success. The concluding mark is that no single scheme defines procedure for all types of clone's detection. In this paper, we introduce a multi-model learning technique to detect various types of code clone, which has been taken up as problem statement in this research work.
Starting Page	1
Ending Page	6
File Size	317163
Page Count	6
File Format	PDF
ISBN	9781479976768
e-ISBN	9781479976782
DOI	10.1109/EESCO.2015.7253734
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-01-24
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Measurement Software maintenance Cloning CP-Miner Code Dissimilarity Code Similarity Code clone investigation Training Accuracy Software code clone Program dependency graph Semantics Conrol flow Graph CCFinder Code replication
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Enhancing Quality of Code Clone Detection with Program Dependency Graph

Verylarge scale code clone analysis and visualization of open source program using distributed ccfinder: D-ccfinder (2007)

Code Clone Detection on Specialized PDGs with Heuristics

IEEE TRANSACTIONS ON SOFTWARE ENGINEERING, TSE-0079-0207.R2 1 A Data Mining Approach for Detecting Higherlevel Clones in Software

CloneDifferentiator: Analyzing clones by differentiation

Gapped code clone detection with lightweight source code analysis

CCFinder: a multilinguistic token-based code clone detection system for large scale source code

LLVM-based code clone detection framework

Prioritizing code clone detection results for clone management

An effective approach using dissimilarity measures to estimate software code clone

Similar Documents

Enhancing Quality of Code Clone Detection with Program Dependency Graph

Verylarge scale code clone analysis and visualization of open source program using distributed ccfinder: D-ccfinder (2007)

Code Clone Detection on Specialized PDGs with Heuristics

IEEE TRANSACTIONS ON SOFTWARE ENGINEERING, TSE-0079-0207.R2 1 A Data Mining Approach for Detecting Higherlevel Clones in Software

CloneDifferentiator: Analyzing clones by differentiation

Gapped code clone detection with lightweight source code analysis

CCFinder: a multilinguistic token-based code clone detection system for large scale source code

LLVM-based code clone detection framework

Prioritizing code clone detection results for clone management

An effective approach using dissimilarity measures to estimate software code clone