Evaluation the Quality of Software Design by Call Graph based Metrics

Evaluation the Quality of Software Design by Call Graph based Metrics

Sanjeev Kumar Punia

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Dr. Anuj Kumar

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Amit Sharma

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α NIMS University

ρ Amity University

Evaluation the Quality of Software Design by Call Graph based Metrics

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References

8 Cites in Article

Reference Format

J Dollner,J Bohnet (2010). Visual exploration of function call graphs for feature location in complex software systems.
D Reniers,A Telea,O Ersoy,H Hoogendorp (2011). Extraction and visualization of call dependencies for large C/C++ code bases: A comparative study.
M Jahromi,E Honar (2012). A framework for call graph construction.
F Abreu,A Baroni (2013). A formal library for aiding metrics extraction.
A Bernstein,M Pinzger,P Knab (2011). Predicting defect densities in source code files with decision tree learners.
T Ball,N Nagappan (2012). Use of relative code churn measures to predict system defect density.
S Usmani,N Azeem (2011). Defect prediction leads to high quality product.
A Khare,P Batra,M Kaur Static analysis and run-time coupling metrics.

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Sanjeev Kumar Punia. 2014. \u201cEvaluation the Quality of Software Design by Call Graph based Metrics\u201d. Global Journal of Computer Science and Technology - C: Software & Data Engineering GJCST-C Volume 14 (GJCST Volume 14 Issue C2): .

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GJCST Volume 14 Issue C2
Pg. 59- 64

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

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Submission ReceivedDecember 6, 2013
Peer Review Double Blind
Handling Editor
Accepted January 2, 2014
Published January 15, 2014

Version of record

v1.2

Issue date

May 15, 2014

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Article Matrices

Total Score: 108

Country: India

Subject: Global Journal of Computer Science and Technology - C: Software & Data Engineering

Authors: Sanjeev Kumar Punia, Dr. Anuj Kumar, Amit Sharma (PhD/Dr. count: 1)

View Count (all-time): 334

Total Views (Real + Logic): 9104

Total Downloads (simulated): 2344

Publish Date: 2014 05, Thu

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Total Views: 9104

Total Downloads: 2344

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