Maximising data retention from the ISBSG repository

12th International Conference on Evaluation and Assessment in Software Engineering, EASE 2008

Volumn , Issue , 2008, Pages

  Deng, Kefu ^a   MacDonell, Stephen G ^a  

^a AUCKLAND UNIVERSITY OF TECHNOLOGY   (New Zealand)

Author keywords

Data formalisation; Effort prediction; Empirical software engineering; FPA; ISBSG repository; Regression

Indexed keywords

SOFTWARE DESIGN;

EFFORT PREDICTION; EMPIRICAL SOFTWARE ENGINEERING; FORMALISATION; ISBSG REPOSITORIES; REGRESSION;

DATA HANDLING;

EID: 85085852406     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.14236/ewic/ease2008.3     Document Type: Conference Paper

References (21)

1. Kitchenham, B., E. Mendes and G.H. Travassos, “A systematic review of cross- vs. within-company cost estimation studies”, Proc. 10th Intl Conf Empirical Assessment in Soft Eng 2006.
2. MacDonell, S.G., and M.J. Shepperd, “Comparing local and global software effort estimation models – reflections on a systematic review”, Proc. 1st Intl Symp Empirical Soft Eng & Measmt 2007, 401-409.
3. Experience Pro - Software Technology Transfer Finland, http://www.sttf.fi/eng/indexEnglish.htm
4. International Software Benchmarking Standards Group, http://www.isbsg.org
5. Briand, L.C., K. El Emam, D. Surmann, I. Wieczorek and K. Maxwell, “An assessment and comparison of common software cost estimation modeling techniques”, Proc. 21st Intl Conf Soft Eng 1999, 313-322.
6. Jeffery, R., M. Ruhe and I. Wieczorek, “Using public domain metrics to estimate software development effort”, Proc. 7th Intl Soft Metrics Symp 2001, 16-27.
7. Sentas, P., L. Angelis, I. Stamelos and G. Bleris, “Software productivity and effort prediction with ordinal regression”, Information and Software Technology 47, 2005, 17-29.
8. Mendes, E., C. Lokan, R. Harrison and C. Triggs, “A replicated comparison of cross-company and within-company effort estimation models using the ISBSG database”, Proc. 7th Intl Soft Metrics Symp 2005.
9. Cuadrado-Gallego, J.J., M.-A. Sicilia, M. Garre and D. Rodriguez, “An empirical study of process-related attributes in segmented software cost-estimation relationships”, Journal of Systems & Software 79, 2006, 353-361.
10. Abran, A., I. Ndiaye and P. Bourque, “Evaluation of a black-box estimation tool: a case study”, Software Process Improvement and Practice 12, 2007, 199-218.
11. Adalier, O., A. Uğur, S. Korukoğlu and K. Ertaş, “A new regression based software cost estimation model using power values”, IDEAL 2007, Lecture Notes in Computer Science 4881, 2007, 326-334.
12. Gencel, C., and L. Buglione, “Do different functionality types affect the relationship between software functional size and effort?”, Proc. 2007 Intl Workshop Soft Measmt, 2007, 235-246.
13. st Intl Forum COCOMO and Softw Cost Modeling, 2006.
14. Pendharkar, P.C., J.A. Rodger and G.H. Subramanian, “An empirical study of the Cobb–Douglas production function properties of software development effort”, Information and Software Technology, In Press.
15. Jiang, Z., P. Naudé and B. Jiang, “The effects of software size on development effort and software quality”, Proc. World Academy Sci, Eng and Tech 23 2007, 363-367.
16. Everitt, B.S., and G. Dunn, Applied Multivariate Data Analysis, Second Edition, 2001.
17. Twala, B., M. Cartwright and M. Shepperd, “Comparison of various methods for handling incomplete data in software engineering databases”, Proc. Intl Symp Empirical Soft Eng 2005, 105-114.
18. P. Jonsson and C. Wohlin, “An evaluation of k-nearest neighbour imputation using Likert data”, Proc. 10th Intl Soft Metrics Symp 2004, 108-118
19. Li, J., A. Al-Emram and G. Ruhe, “Impact analysis of missing values on the prediction accuracy of analogy based software effort estimation method AQUA”, Proc. 1st Intl Symp Empirical Soft Eng & Measmt 2007, 126-135.
20. Liebchen, G., B. Twala, M. Shepperd, M. Cartwright and M. Stephens, “Filtering, robust filtering, polishing: techniques for addressing quality in software data”, Proc. 1st Intl Symp Empirical Soft Eng & Measmt 2007, 99-106.
21. Weisberg, S., Applied Linear Regression, John Wiley & Sons. New York, 1985.