1、Automated Software Cost Estimation,By James Roberts EEL 6883 Spring 2007,Background,Over 53% of software projects overrun by more than 50% in both budget and schedule Software overrun in budget is a failure Software overrun in schedule is a failure Goal of software engineering is to deliver software
2、 on time and within budget,Possible Solution,Automated Software Cost Estimation Look at history Generalize data Create equations Parametric,Input Measurements,SLOC Source Lines of Code DSI Delivered Source Instructions Function Points,Cost Estimation Models,COCOMO 81 COCOMO II REVIC SLIM Others,COCO
3、MO,Developed by Barry Boehm in 81 Based on historical database DSI is the input Three versions Basic Model Intermediate Model Detailed Model,COCOMO II,Updated the COCOMO 81 model Allows for Spiral development Rapid prototyping COTS integration OO Design Uses SLOC,REVIC,Revised Intermediate COCOMO De
4、veloped by Ray Kile Updated to use Air Force project data Adds a mode for Ada development Inputs are the same as COCOMO 81,SLIM,Software Life-Cycle Model Developed by Larry Putnam Uses a Rayleigh distribution Project personnel vs. Time Intended for large projects Fewer parameters,QSMs SLIM Tool,Base
5、d on the SLIM model Windows based Easy to use Several different wizards for quickly generating an estimate Five steps to create an estimate,Softstars CoStar,Based on the COCOMO model Windows based Easy to use Many different COCOMO variations Create Estimate Wizard Many parameters required Highly con
6、figurable Full featured demo version available,Galoraths SEER-SEM,Based on proprietary COCOMO-like models Windows based Moderately easy to use Create Estimate Wizard Few parameters required up front Highly configurable Poor demo version,Conclusion,Would recommend the Softstar CoStar software Softwar
7、e Cost Estimation is important for any program manager These tools are vital to quickly generating estimates for success,References,1. Dave Srulowitz, M.B., Vic Helbling. Software Estimation. 2001 cited; Available from: http:/www.saspin.org/SASPIN_Apr2001_COCOMO.pdf. 2. Briand, L.C., et al. An asses
8、sment and comparison of common software cost estimation modeling techniques. 1999. 3. Boehm, B.W., Software Engineering Economics. 1st ed. 1981: Prentice-Hall. 4. COCOMO II. cited; Available from: http:/en.wikipedia.org/wiki/COCOMO_II. 5. Boehm, B.C., B.; Horowitz, E.; Madachy, R.; Shelby, R.; Westl
9、and, C. An Overview of the COCOMO 2.0 Software Cost Model. in Software Technology Conference. 1995. 6. Systems, S. Overview of COCOMO. 2007 cited; Available from: http:/ Cont.,7. C. Abts, B.C., S. Devnani-Chulani, E. Horowitz, R. Madachy, D. Reifer, R. Selby, B. Steece, COCOMO II Model Definition Ma
10、nual. Technical report, Center for Software Engineering, USC. 1998. 8. Albrecht, A., Function Points: A New Way of Looking at Tools. 1979. 9. Parametric Cost Estimating Handbook. US Dept. of Defense, Washington D.C., 1995. 10. Agency, D.C.M. DCMA Guidebook - Software Acquisition Management. 2007 cit
11、ed. 11. Boehm, B.A., C.; Chulani, S., Software Development Cost Estimation Approaches - A Survey. Annals of Software Engineering, 2000. 10(1-4): p. 177-205. 12. Chris, F.K., An empirical validation of software cost estimation models. Commun. ACM, 1987. 30(5): p. 416-429. 13. Sultanodlu, S. Software Measurement, Cost Estimation, SLIM, COCOMO. 1998 cited; Available from: http:/yunus.hacettepe.edu.tr/sencer/cocomo.html,
