Chris F. Kemerer
- 1 Albrecht,A.J.Measuring application development prodecitivity. In GUIDESHARE: Proceeedings of the IBM Applications Development Sysprosium (Monterey,Calif.),1979,pp,83- 92Google Scholar
- 2 Albrecht,A.J and Gaffncy, J. Software function, source lines of code, and development effort prediction; A software science validation .IEEE Trans Softw. Eng,SE-9,6(1983),639- 648.Google ScholarDigital Library
- 3 Banker, R.D and Kemerer, C.F. Scale economic in new software development. IEEE Trans Sofyw Eng SE-15,10 (1989). 416-429. Google ScholarDigital Library
- 4 Banker, R.D Datar,S.M and Kemetrer,C.F. A model to evaluate variable impercting productivity on software maintencence projects. Manage Sci.37,1(1991),1-19. Google ScholarDigital Library
- 5 Behrens. C.A Measuring the Productivity of computer system developemetn activities with Function Points, IEEE Trans Softw.Eng SE.9 6 (1983)648-652.Google Scholar
- 6 Bock, D,b and Klepper, R. FT_S:A simplified Function Point counting method .Working Paper, Southren IILionois Univ. at Edwardesville III., 1990Google Scholar
- 7 Carmines E.G. and Zeller,R.A reliability and Validuty Assessment Sage publication, Beverly Hills,Calif., 1979.Google Scholar
- 8 Cohen.J., Statistical poweer Analysis for the Behaviral Sciences.Academic, Press, New York,N.Y. 1977Google Scholar
- 9 Connolley, M.J. An empirical Study of Function Points analysis reliability. Masters thesis, MTT Sloan School of Management, Cambridges, MAss., 1990.Google Scholar
- 10 Cook, T.D. and Campbell, D.T. Quasi-Experimentaition: Design and Analysis Issues for Field Settings. Houghton-Miffling, Boston, 1979.Google Scholar
- 11 Cooprinder, J. and Henderson, J.A. multi-dimensional approach to performance evalutation for I/S development. Working Paper 197, MIT Center for Information Systems Research, Cambridge, MAss., 1989.Google Scholar
- 12 Cusumano, M. and Kemerer, C.F. A quantitative analysis of US and Japanese Practive and performance in sotware development.Magazine. Sci. 36, 11 (1990), 1384-1406. Google ScholarDigital Library
- 13 Desharnais, J.M. Analyse statistique de la productivite des projects de development en informatique a partir de la technique des points de fonction (English version). Masters thesis, Universe du Quebec, Montreal, 1988.Google Scholar
- 14 Dreger, J.B. Function Point Analysis, Prentice-Hall, Engleqood Cliffs, N.J., 1989. Google ScholarDigital Library
- 15 Emrick, R.D. Software development prodcutivity second industry studty. In the 1988 International Function Point Users Group Spring Conference Proceedings (Dallas, Tex.). IFPUG, Westerville, Ohio, pp. 1-44.Google Scholar
- 16 Jones, C. Programming Productivity. McGraw-Hill, New York, 1986. Google ScholarDigital Library
- 17 Kemerer, C.F. An empirical validation of software cost estimation models. Commun. ACM 30, 5 (May 1987). 416-429. Google ScholarDigital Library
- 18 Low, G.C. and JEffery, D.R. Function Points in the estimation and evaluation of the software process. IEEE TRans. Softw. Wnd. 16, 1 (1990), 64-71. Google ScholarDigital Library
- 19 Maglitta, J. Its's reality times. Computerworld (1991), 81-84.Google Scholar
- 20 Perry, W.E. The best measures for measuring data processing quality and productivity. Tech. Rep. Quality Assurance Institute, 1986.Google Scholar
- 21 Pressman, R.S. Software Engineering: A Practitioner's Approacj McGraw- Hill, New York, 1987. Google ScholarDigital Library
- 22 Ratcliff, B. and Rollo, A.L. Adapting Function Point analysi to Jackson system development, Softw. Eng. J. (1990), 79-84. Google ScholarDigital Library
- 23 Rubin, H.A. Macroestimation of software development parameters: The estimacs system. In IEEE SOFTFAIR Conference on Software Development Tools, Techniques and Alternatives. IEEE, New York, N.Y., 1983.Google Scholar
- 24 Rubin, H.A. Measure for measure. Computerworld (1991), 77-79.Google Scholar
- 25 Rudolph, E.E. Productivity in computer application development. Working Paper 9, Univ. of Auckland, Dept. of Management Studies, Auckland, New Zealand, 14983.Google Scholar
- 26 Scheffe, H. Analysis of Variance, John Wiley & Sons, New York, 1959.Google Scholar
- 27 Sprouls, J. IFPUG Function Point Counting Practices Manual Release 3.0 International Funciton Point USers Group, WEsterville, Ohio, 1990.Google Scholar
- 28 Symons, C.R. Function Point analysis: Difficulties and improvements. IEEE Trans. Softw. End. 14,1 (1988). 2-11. Google ScholarDigital Library
- 29 Topper, A. CASE: A peek at commercial developers uncovers some clues to the mystery, Computerworkd, 24, 15(1990), 61-64.Google Scholar
- 30 Verner, J.M. Tale G.JAckson, B. and HWayward, R.G. Technology dependence in Function Point analysis: A case study and critical review, In Proceddings fo the 11th International Conference on Sotware Engineering. 1989, pp. 375-382. Google ScholarDigital Library
Index Terms
- Reliability of function points measurement: a field experiment
Recommendations
A Comparative Study of Software Development Size Estimation Method: UCPabc vs Function Points
AbstractOne of the stages in planning software development projects is to estimate the effort and cost. The good news is, there are already studies related to the estimated cost of software development projects whose results are close to the real cost. In ...
Automated software size estimation based on function points using UML models
A systematic approach to software size estimation is important for accurate project planning. In this paper, we will propose the unified mapping of UML models into function points. The mapping is formally described to enable the automation of the ...
Identifying factors affecting software development cost and productivity
Software systems of today are often complex, making development costs difficult to estimate. This paper uses data from 50 projects performed at one of the largest banks in Sweden to identify factors that have an impact on software development cost. ...
Reviews
John E. Martin
This research study was conducted to test the accuracy and reliability of the function point software sizing metric. Basically, the study was designed around the hypothesis that estimate replicability is an indicator of estimate reliability. To test this hypothesis, the author measured estimate replicability both within (interrater) and between (intermethod) two groups. From a selected set of design documents and completed systems, one group estimated function points using the then-current IFPUG 3.0 standard. Using this same set, another group estimated function points using the entity-relationship approach. Overall, this paper is excellent. The author has constructed a reasonable and easy-to-understand experiment. The development of the hypothesis and the results (the experiment did show both interrater and intermethod reliability) have definitely added to the body of knowledge of function points. For those of you considering the adoption of function points, this paper should help serve as justification. For those of you already using function points, this new er entity-relationship approach holds some promise of adding another dimension to function points.
Access critical reviews of Computing literature here
Become a reviewer for Computing Reviews.
Comments