Further comparison of cross-company and within-company effort estimation models for Web applications

作者: E. Mendes , B. Kitchenham

DOI: 10.1109/METRICS.2004.24

关键词:

摘要: This paper extends a previous study, using data on 67 Web projects from the Tukutuku database, investigating to what extent cross-company cost model can be successfully employed estimate effort for that belong single company, where no this company were used build model. Our within-company 14 company. results similar those showing predictions based significantly more accurate than We also found very poor when was 53 different companies. analysed two techniques, forward stepwise regression and case-based reasoning. estimates produced models better within while reasoning

参考文章(23)
Isabella Wieczorek, Tristen Langley, Lionel C. Briand, A replicated Assessment of Common Software Cost Estimation Techniques international conference on software engineering. ,(2000)
Emilia Mendes, Steve Counsell, Nile Mosley, Investigating Early Web Size Measures for Web Cost Estimation ,(2005)
Katrina D. Maxwell, Applied Statistics for Software Managers ,(2002)
Frank Wilcoxon, Individual Comparisons by Ranking Methods Springer Series in Statistics. ,vol. 1, pp. 196- 202 ,(1992) , 10.1007/978-1-4612-4380-9_16
K.D. Maxwell, P. Forselius, Benchmarking software development productivity IEEE Software. ,vol. 17, pp. 80- 88 ,(2000) , 10.1109/52.820015
R. Dennis Cook, Detection of influential observation in linear regression Technometrics. ,vol. 42, pp. 65- 68 ,(2000) , 10.2307/1271434
BA Kitchenham, Empirical studies of assumptions that underlie software cost-estimation models Information & Software Technology. ,vol. 34, pp. 211- 218 ,(1992) , 10.1016/0950-5849(92)90077-3
Chris F Kemerer, An empirical validation of software cost estimation models Communications of the ACM. ,vol. 30, pp. 416- 429 ,(1987) , 10.1145/22899.22906
Lionel C. Briand, Khaled El Emam, Dagmar Surmann, Isabella Wieczorek, Katrina D. Maxwell, An assessment and comparison of common software cost estimation modeling techniques international conference on software engineering. pp. 313- 322 ,(1999) , 10.1145/302405.302647