An approach to measure value-based productivity in software projects

Proceedings - International Conference on Quality Software

Volumn , Issue , 2009, Pages 383-389

  De Aquino, Gibeon Soares ^a   De Lemos Meira, Silvio Romero ^a  

^a FEDERAL UNIVERSITY OF PERNAMBUCO   (Brazil)

Author keywords

[No Author keywords available]

Indexed keywords

SOFTWARE ENGINEERING;

MEASUREMENT MODEL; MULTIPLE DIMENSIONS; NEW STUDY; PROCESS ADOPTION; PRODUCTIVITY MEASUREMENTS; SIMPLE++; SOFTWARE ORGANIZATION; SOFTWARE PRODUCTIVITY; SOFTWARE PROJECT; VALUE-BASED;

PRODUCTIVITY;

EID: 77950616563     PISSN: 15506002     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/QSIC.2009.57     Document Type: Conference Paper

References (27)

1. Alan Albrecht. Measuring application development productivity. In I. B. M. Press, editor, IBM Application Development Symp., pages 83-92, October 1979.
2. Gibeon Aquino and Silvio Meira. Software productivity measurement: Past analysis and future trends. In SETP'09: Proceedings of Third International Conference on Software Engineering Theory and Practice, Orlando, Florida, USA, July 2009. ISRST.
3. Robert Austin. Measuring and Managing Performance in Organizations. Dorset House Publishing Company, 1996.
4. John W. Bailey and Victor R. Basili. A meta-model for software development resource expenditures. In ICSE '81: Proceedings of the 5th international conference on Software engineering, pages 107-116, Piscataway, NJ, USA, 1981. IEEE Press.
5. Barry Boehm. Value-based software engineering: reinventing. SIGSOFT Softw. Eng. Notes, 28(2):3, 2003.
6. Barry Boehm and Li Guo Huang. Value-based software engineering: A case study. Computer, 36(3):33-41, 2003.
7. Barry W. Boehm. Software Engineering Economics. Prentice Hall PTR, Upper Saddle River, NJ, USA, 1981.
8. B.W. Boehm. Improving software productivity. Computer, 20(9):43-57, September 1987.
9. Jean-Claude Vansnick Carlos A. Bana e Costa. Applications of the macbeth approach in the framework of an additive aggregation model. Journal of Multi-Criteria Decision Analysis, 6(2):107-114, 1997.
10. A. S. Duncan. Software development productivity tools and metrics. In ICSE '88: Proceedings of the 10th international conference on Software engineering, pages 41-48, Los Alamitos, CA, USA, 1988. IEEE Computer Society Press.
11. L. Farr and B. Nanus. Factors that affect the cost of computer programming. Technical Report TM- 1447/000/02, System Development Corporation, Santa Monica, California, July 1964.
12. L. Farr and H. J Zagorski. Factors that affect the cost of computer programming: A quantitative analysis. Technical Report TM-1447/001/00, System Development Corporation, Santa Monica, California, August 1964.
13. Jennifer Gremba and Chuck Myers. The ideal model: A practical guide for improvement. Bridge - Software Engineering Institute, 3, 1997.
14. T. E. Hastings and A. S. M. Sajeev. A vector-based approach to software size measurement and effort estimation. IEEE Trans. Softw. Eng., 27(4):337-350, 2001.
15. Douglas W. Hubbard. How to Measure Anything: Finding the Value of "Intangibles" in Business. John Wiley & Sons, Inc., 1 edition edition, August 2007.
16. Capers Jones. Applied software measurement: assuring productivity and quality. McGraw-Hill, Inc., New York, NY, USA, 1991.
17. T. C. Jones. Measuring programming quality and productivity. IBM System Journal, 17(1):115-125, 1978.
18. L.Buglione and A.Abran. Multidimensional software performance measurement models: A tetrahedron-based design. In R.Dumke/A.Abran, editor, Software Measurement: Current Trends in Research and Practice, number 3-8244-6876-X, pages 93-107. Deutscher Universitats Verlag GmbH, 1999.
19. Alan MacCormack, Chris F. Kemerer, Michael Cusumano, and Bill Crandall. Trade-offs between productivity and quality in selecting software development practices. IEEE Softw., 20(5):78-85, 2003.
20. Katrina D. Maxwell and Pekka Forselius. Benchmarking software-development productivity. IEEE Softw., 17(1):80-88, 2000.
21. Katrina D. Maxwell, Luk Van Wassenhove, and Soumitra Dutta. Software development productivity of european space, military, and industrial applications. IEEE Trans. Softw. Eng., 22(10):706-718, 1996.
22. John Moses, Malcolm Farrow, Norman Parrington, and Peter Smith. A productivity benchmarking case study using bayesian credible intervals. Software Quality Control, 14(1):37-52, 2006.
23. D.J Reifer. Let the numbers do the talking. CrossTalk The Journal of Defense Engineering, pages 1-8, March 2002.
24. W. Scacchi. Understanding software productivity: a comparative empirical review. System Sciences, 1989. Vol.II: Software Track, Proceedings of the Twenty- Second Annual Hawaii International Conference on, 2:969-977 vol.2, Jan 1989.
25. Erik Stensrud and Ingunn Myrtveit. Identifying high performance erp projects. IEEE Trans. Softw. Eng., 29(5):398-416, 2003.
26. Charles R. Symons. Software sizing and estimating: Mk II FPA (Function Point Analysis). John Wiley & Sons, Inc., New York, NY, USA, 1991.
27. C.R. Symons. Function point analysis: difficulties and improvements. Software Engineering, IEEE Transactions on, 14(1):2-11, January 1988.