Understanding and predicting effort in software projects

Proceedings - International Conference on Software Engineering

Volumn , Issue , 2003, Pages 274-284

  Mockus, Audris ^a   Weiss, David M ^a   Zhang, Ping ^a  

^a AVAYA LABS RESEARCH   (United States)

Author keywords

Defect prediction; Effort estimation; Project schedule; Software changes

Indexed keywords

COMPUTER SIMULATION; COMPUTER SOFTWARE MAINTENANCE; COMPUTER SOFTWARE SELECTION AND EVALUATION; PLANNING; PROJECT MANAGEMENT; RESOURCE ALLOCATION;

DEFECT PREDICTION; SOFTWARE CHANGES; SOFTWARE PROJECTS;

SOFTWARE ENGINEERING;

EID: 0037587474     PISSN: 02705257     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/icse.2003.1201207     Document Type: Conference Paper

References (16)

1. D. Atkins, T. Ball, T. Graves, and A. Mockus. Using version control data to evaluate the impact of software tools: A case study of the version editor. IEEE Transactions on Software Engineering, 28(7):625-637, July 2002.
2. B. Boehm. Software Engineering Economics. Prentice-Hall, 1981.
3. B. W. Boehm, B. Clark, E. Horowitz, and et al. Cost models for future software life cycle processes: Cocomo 2.0. Annals of Software Engineering, 1(1):1-24, November 1995.
4. P. Cedeqvist and et al. CVS Manual. May be fond on: http://www.cvshome.org/CVS/.
5. S. R. Dalal and C. L. Mallows. When should one stop testing software? Journal of American Statist. Assoc, 83:872-879, 1988.
6. A. L. Goel. Software reliability models: Assumptions, limitations and applicability. IEEE Trans. Software Engineering, SE-11 (12), 1985.
7. T. Graves and A. Mockus. Identifying productivity drivers by modeling work units using partial data. Technometrics, 43(2):168-179, May 2001.
8. T. L. Graves, A. F. Karr, J. S. Marron, and H. Siy. Predicting fault incidence using software change history. IEEE Transactions on Software Engineering, 26(2), 2000.
9. M. Jörgensen. A review of studies on expert estimation of software development effort. Journal of Systems and Software, 2002. submitted.
10. A. K. Midha. Software configuration management for the 21st century. Bell Labs Technical Journal, 2(1) Winter 1997.
11. A. Mockus and L. G. Votta. Identifying reasons for software change using historic databases. In International Conference on Software Maintenance, pages 120-130, San Jose, California, October 11-14 2000.
12. A. Mockus and D. M. Weiss. Predicting risk of software changes. Bell Labs Technical Journal, 5(2):169-180, April-June 2000.
13. A. Mockus and D. M. Weiss. Globalization by chunking: a quantitative approach. IEEE Software, 18(2):30-37, March 2001.
14. J. Musa, A. Iannino, and K. Okumoto. Software Reliability: Measurement, Prediction, Application. McGrawHill, New York, 1987.
15. M. Rochkind. The source code control system. IEEE Trans. on Software Engineering, 1(4):364-370, 1975.
16. N. D. Singpurwalla and S. P. Wilson. Statistical Methods in software Engineering: Reliability and Risk. Springer Series in Statistics. Springer-Verlag, New York, 1999.