Investigation of the effort data consistency in the ISBSG repository

To develop adequate software project estimation models using statistical techniques, the consistency of historical data is important. This paper investigates this issue by looking into the consistency of the information contained in one of the most important fields in the International Software Benchmarking Standards Group (ISBSG) repository, that is, the project effort data field. This paper also presents an example of how effort data from projects that include a large number of project phases can be used for extrapolation, through a normalization process, to projects with fewer phases. The ISBSG organization has attempted to tackle this issue on the variability of phases included in the project effort field by deriving a normalized work effort field. This paper investigates this problem and reports on a number of related issues.

[1]  Kjetil Moløkken-Østvold,et al.  A review of software surveys on software effort estimation , 2003, 2003 International Symposium on Empirical Software Engineering, 2003. ISESE 2003. Proceedings..

[2]  Katrina D. Maxwell,et al.  Applied Statistics for Software Managers , 2002 .

[3]  Z. Levy,et al.  The software estimation dilemma, a small step forward , 1990, COMPEURO'90: Proceedings of the 1990 IEEE International Conference on Computer Systems and Software Engineering@m_Systems Engineering Aspects of Complex Computerized Systems.

[4]  Barry W. Boehm,et al.  A software product line life cycle cost estimation model , 2004, Proceedings. 2004 International Symposium on Empirical Software Engineering, 2004. ISESE '04..

[5]  J. Paynter,et al.  Project estimation using Screenflow Engineering , 1996, Proceedings 1996 International Conference Software Engineering: Education and Practice.

[6]  Fred J. Heemstra Software cost estimation models , 1990, Proceedings of the 5th Jerusalem Conference on Information Technology, 1990. 'Next Decade in Information Technology'.

[7]  W. Duncan A GUIDE TO THE PROJECT MANAGEMENT BODY OF KNOWLEDGE , 1996 .

[8]  G. R. Finnie,et al.  AI tools for software development effort estimation , 1996, Proceedings 1996 International Conference Software Engineering: Education and Practice.

[9]  D. V. Ferens The conundrum of software estimation models , 1998, Proceedings of the IEEE 1998 National Aerospace and Electronics Conference. NAECON 1998. Celebrating 50 Years (Cat. No.98CH36185).

[10]  Building a software cost estimation model based on categorical data , 2001, Proceedings Seventh International Software Metrics Symposium.

[11]  Barry W. Boehm,et al.  Bayesian Analysis of Empirical Software Engineering Cost Models , 1999, IEEE Trans. Software Eng..