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Article:Advanced Program Complexity Metrics and Measurement

by Abdul Jabbar. P, S.Sarala
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 23 - Number 2
Year of Publication: 2011
Authors: Abdul Jabbar. P, S.Sarala
10.5120/2860-3679

Abdul Jabbar. P, S.Sarala . Article:Advanced Program Complexity Metrics and Measurement. International Journal of Computer Applications. 23, 2 ( June 2011), 28-32. DOI=10.5120/2860-3679

@article{ 10.5120/2860-3679,
author = { Abdul Jabbar. P, S.Sarala },
title = { Article:Advanced Program Complexity Metrics and Measurement },
journal = { International Journal of Computer Applications },
issue_date = { June 2011 },
volume = { 23 },
number = { 2 },
month = { June },
year = { 2011 },
issn = { 0975-8887 },
pages = { 28-32 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume23/number2/2860-3679/ },
doi = { 10.5120/2860-3679 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:09:10.057496+05:30
%A Abdul Jabbar. P
%A S.Sarala
%T Article:Advanced Program Complexity Metrics and Measurement
%J International Journal of Computer Applications
%@ 0975-8887
%V 23
%N 2
%P 28-32
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The complexity metrics has an important role in assessing the quality of source code. Obtainable complexity metrics is failed to accumulate precise system failure information. In this work proposes adequate complexity metrics for structural measure which collect the exact system information that cause the system failure in source code. Then, by censure McCabe’s cyclomatic number and the framework of adequate metrics that can be extensively observe the structural complexity of the various statements in the code. The proposed metrics verifies the accuracy of the source code evaluation, gains the proportion of software complexity metric by the experimental approach whereas, software complexity measurement is consistent with the actual result.

References
  1. S. Sarala, P. Abdul Jabbar, 2010. Information flow metrics and complexity measurement, 3rd IEEE International Conference on Computer Science and Information Technology, vol. 2 pp. 575-578.
  2. Wu-caihua, Zhu-xiaodong and Liu-juntao, 2008. The SRGM Framework of Integrated Fault Detection Process and Correction Process, International Conference on Computer Science and Software Engineering, IEEE Computer Society, pp. 679-682.
  3. Chin-Yu Huang, Sy-Yen Kuo, and Michael R. Lyu., 2007. An Assessment of Testing-Effort Dependent Software Reliability Growth Models, IEEE Transactions on Reliability, Vol. 56, No. 2, pp. 198-211.
  4. Chin-Yu Huang, Michael R. Lyu, 2005.Optimal Release Time for Software Systems Considering Cost, Testing-Effort, and Test Efficiency, IEEE Transaction on Reliability, vol. 54, NO. 4, pp. 583-591.
  5. Michael R. Lyu, 2007. Software Reliability Engineering: A Roadmap, Future of software Engineering (Fose’07), IEEE Computer Society WashingtonDC.USA, pp.153-170.
  6. T. Capper Jones, 2005. Estimating software cost, Tata McGraw Hill Edition.
  7. Norman E. Fenton and S. L Pfleeger, 2004. Software Metrics, Second Edition, Third Reprint, Thomson publication Singapore.
  8. Sy-Yen Kuo, Chin-Yu Huang, and Michael R. Lyu, 2001. Framework for Modeling Software Reliability, Using Various Testing-Efforts and Fault-Detection Rates, IEEE Transaction on Reliability, Vol. 50, No. 3, pp. 310- 320.
  9. McCabe, 1976. A Complexity Measure, IEEE Transaction on software Engineering, vol SE2 ¬. No.4, pp 308-320.
  10. S.C. Chiemeke, A. O. Oladipupo, 2001. Theoretical Approaches in Software Complexity Metrics, African Journal of Science and Technology (AJST) Science and Engineering Series, Vol. 2, No. 2, pp. 101-107.
  11. Srinivasan Ramani, Swapna S. Gokhale, and Kishor S. Trivedi, 1998. SREPT: Software Reliability Estimation and Prediction Tool, Springer-Verlag Berlin Heidelberg, pp. 27-36.
  12. Reymond PL Buse and Westley R. Weimer, 2009. Learning a Metric for Code Reliability, IEEE Transactions on Software Engineering 2010 (Accepted for publication).
  13. Tu Honglei, Sun Wei, Ahang Yanan, The Research on Software Metrics and software Complexity Metrics, International Forum on Computer Science- Technology and Applications”, pp. 131-136.
  14. Ramon Sagarna, 2008. Jose A. Lozano. Software metrics mining to predict the performance of estimation of distribution algorithms in test data generation, Springer-Verlag Berlin Heidelberg, pp.235-254.
  15. Weisstein, Eric W., Proportional, MathWorld A Wolfram Web Resource.
  16. John C.M and Taghi M.K. 1991. The use of software metrics in software reliability modeling, IEEE, pp. 2-11.
  17. N.Salman, 2006. Complexity metrics as predictors of maintainability and integrability of software components, Journal of Arts and Sciences Cankaya University, pp 39-50.
Index Terms

Computer Science
Information Sciences

Keywords

Advanced Complexity Measurement Decision Statement Weight Total Information (Ti) McCabe Cyclomatic number

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