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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1 NIMS University, Jaipur

3 Amity university

GJCST Volume 14 Issue C2

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8 Cites in Articles

References

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.

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No ethics committee approval was required for this article type.

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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

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

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v1.2

Issue date

May 15, 2014

Language

English

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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): 310

Total Views (Real + Logic): 9059

Total Downloads (simulated): 2336

Publish Date: 2014 05, Thu

Monthly Totals (Real + Logic):

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Total Views: 9059

Total Downloads: 2336

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