The Effects of Software Size on Development Effort and Software Quality

Authors: Zhizhong Jiang, Peter Naudé, Binghua Jiang

Abstract:

Effective evaluation of software development effort is an important issue during project plan. This study provides a model to predict development effort based on the software size estimated with function points. We generalize the average amount of effort spent on each phase of the development, and give the estimates for the effort used in software building, testing, and implementation. Finally, this paper finds a strong correlation between software defects and software size. As the size of software constantly increases, the quality remains to be a matter which requires major concern.

Keywords: Development effort, function points, software quality, software size.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1063378

References:

[1] R. S. Pressman, Software Engineering: A Practitioner's Approach. London: McGraw-Hill, 2005.
[2] J. C. Vliet, Software Engineering: Principles and Practice. Chichester: Wiley, 1993.
[3] R. D. Banker, H. Chang, and C. F. Kemerer, "Evidence on economies of scale in software development," Information and Software Technology, vol. 36, pp. 275-282, 1994.
[4] A. Heiat and N. Heiat, "A model for estimating efforts required for developing small-scale business applications," Journal of Systems and Software, vol. 39, pp. 7-14, 1997.
[5] D. V. Steward, Software Engineering with Systems Analysis and Design. Belmont, California: Brooks/Cole, 1987.
[6] A. Lee, C. H. Cheng, and J. Balakrishnan, "Software development cost estimation: Integrating neural network with cluster analysis," Information & Management, vol. 34, pp. 1-9, 1998.
[7] W. S. Humphrey and N. D. Singpurwalla, "Predicting (individual) software productivity," IEEE Transactions on Software Engineering, vol. 17, pp. 196-207, 1991.
[8] M. van Genuchten and H. Koolen, "On the use of software cost models," Information & Management, vol. 21, pp. 37-44, 1991.
[9] G. R. Finnie, G. E. Wittig, and J. M. Desharnais, "A comparison of software effort estimation techniques: Using function points with neural networks, case-based reasoning and regression models," Journal of Systems and Software, vol. 39, pp. 281-289, 1997.
[10] L. Dai and K. Cooper, "Modeling and performance analysis for security aspects," Science of Computer Programming, vol. 61, pp. 58-71, 2006.
[11] W. Kuo, "Software reliability estimation: A realization of competing risk," Microelectronics and Reliability, vol. 23, pp. 249-260, 1983.
[12] J. Lo and C. Huang, "An integration of fault detection and correction processes in software reliability analysis," Journal of Systems and Software, vol. 79, pp. 1312-1323, 2006.
[13] Q. Liu and R. C. Mintram, "Preliminary data analysis methods in software estimation," Software Quality Journal, vol. 13, pp. 91-115, 2005.
[14] W. Harrison, "A flexible method for maintaining software metrics data: a universal metrics repository," Journal of Systems and Software, vol. 72, pp. 225-234, 2004.
[15] C. J. Lokan, "An empirical analysis of function point adjustment factors," Information and Software Technology, vol. 42, pp. 649-660, 2000.
[16] R. Jeffery, M. Ruhe, and I. Wieczorek, "A comparative study of two software development cost modeling techniques using multiorganizational and company-specific data," Information and Software Technology, vol. 42, pp. 1009-1016, 2000.
[17] J. J. Cuadrado-Gallego, M. Sicilia, M. Garre, and D. Rodríguez, "An empirical study of process-related attributes in segmented software costestimation relationships," Journal of Systems and Software, vol. 79, pp. 353-361, 2006.
[18] J. Moses, M. Farrow, N. Parrington, and P. Smith, "A productivity benchmarking case study using Bayesian credible intervals," Software Quality Journal, vol. 14, pp. 37-52, 2006.
[19] S. D. Conte, H. E. Dunsmore, and V. Y. Shen, Software Engineering Metrics and Models. Menlo Park, California: Benjamin/Cummings Publishing Company, 1986.
[20] N. Fenton, "Software measurement: A necessary scientific basis," IEEE Transactions on Software Engineering, vol. 20, pp. 199-206, 1994.
[21] C. F. Kemerer, "Reliability of function points measurement: a field experiment," Communications of the ACM, vol. 36, pp. 85-97, 1993.
[22] C. R. Symons, "Function point analysis: difficulties and improvements," IEEE Transactions on Software Engineering, vol. 14, pp. 2-11, 1988.
[23] C. F. Kemerer and B. S. Porter, "Improving the reliability of function point measurement: an empirical study," IEEE Transactions on Software Engineering, vol. 18, pp. 1011-1024, 1992.
[24] G. Orr and T. E. Reeves, "Function point counting: one program's experience," Journal of Systems and Software, vol. 53, pp. 239-244, 2000.
[25] NESMA, NESMA FPA Counting Practices Manual 2.0: Nesma Association, 1996.
[26] A. C. Rencher, Linear Models in Statistics. New York: John Wiley & Sons, 2000.
[27] W. J. Krzanowski, An Introduction to Statistical Modelling. London: Arnold, 1998.
[28] J. D. Gibbons, Nonparametric Methods for Quantitative Analysis. Columbus, Ohio: American Sciences Press, 1985.
[29] J. C. Munson, A. P. Nikora, and J. S. Sherif, "Software faults: A quantifiable definition," Advances in Engineering Software, vol. 37, pp. 327-333, 2006.