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Software Change Effort Estimation at Design Level using Flow Chart

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IJCA Proceedings on National Conference on Advances in Computing Applications
© 2016 by IJCA Journal
NCACA 2016 - Number 2
Year of Publication: 2016
Authors:
Priyadarshini
Sushant
Aprna Tripathi

Priyadarshini, Sushant and Aprna Tripathi. Article: Software Change Effort Estimation at Design Level using Flow Chart. IJCA Proceedings on National Conference on Advances in Computing Applications NCACA 2016(2):15-18, September 2016. Full text available. BibTeX

@article{key:article,
	author = {Priyadarshini and Sushant and Aprna Tripathi},
	title = {Article: Software Change Effort Estimation at Design Level using Flow Chart},
	journal = {IJCA Proceedings on National Conference on Advances in Computing Applications},
	year = {2016},
	volume = {NCACA 2016},
	number = {2},
	pages = {15-18},
	month = {September},
	note = {Full text available}
}

Abstract

The success of a software depends on it exact estimation of its effort, cost and duration. Most of the software fails just because of wrong estimation. Efficient Cost and effort estimation at early stages of software development is one of the big challenges for software engineers as well as software scientists. There are a number of estimation metrics to estimate effort but the metrics to estimate cost of software change in early phases of software development is rare. In this paper, we are proposing a metric to estimate the effort of software change at design level using flow chart. The results are analyzed with ten flow charts of various program of length 50-200 line of codes. Also results are compared with existing metrics.

References

  • Bowman, M. , Debray, S. K. , and Peterson, L. L. 1993. Reasoning about naming systems.
  • Ding, W. and Marchionini, G. 1997 A Study on Video Browsing Strategies. Technical Report. University of Maryland at College Park.
  • Fröhlich, B. and Plate, J. 2000. The cubic mouse: a new device for three-dimensional input. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
  • Tavel, P. 2007 Modeling and Simulation Design. AK Peters Ltd.
  • Sannella, M. J. 1994 Constraint Satisfaction and Debugging for Interactive User Interfaces. Doctoral Thesis. UMI Order Number: UMI Order No. GAX95-09398. , University of Washington.
  • Forman, G. 2003. An extensive empirical study of feature selection metrics for text classification. J. Mach. Learn. Res. 3 (Mar. 2003), 1289-1305.
  • Brown, L. D. , Hua, H. , and Gao, C. 2003. A widget framework for augmented interaction in SCAPE.
  • Y. T. Yu, M. F. Lau, "A comparison of MC/DC, MUMCUT and several other coverage criteria for logical decisions", Journal of Systems and Software, 2005, in press.
  • Spector, A. Z. 1989. Achieving application requirements. In Distributed Systems, S. Mullender