Incomplete-case nearest neighbor imputation in software measurement data

Information Sciences

Volumn 259, Issue , 2014, Pages 596-610

  Van Hulse, Jason ^a   Khoshgoftaar, Taghi M ^a  

^a Florida Atlantic Univ   (United States)

Author keywords

Complete case; Incomplete case; Nearest neighbor imputation; Software measurement data

Indexed keywords

COMPLETE-CASE; EMPIRICAL SOFTWARE ENGINEERING; INCOMPLETE-CASE; K-NEAREST NEIGHBORS; MISSING VALUES; NEAREST NEIGHBOR IMPUTATION; SOFTWARE MEASUREMENT; SOFTWARE MEASUREMENT DATA;

MEASUREMENTS; MOTION COMPENSATION;

SOFTWARE ENGINEERING;

EID: 84889688873     PISSN: 00200255     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ins.2010.12.017     Document Type: Article

References (22)

1. P.D. Allison, Missing Data. 07-136. Sage University Papers Series on Quantitative Applications in the Social Sciences, Thousand Oaks, CA, 2000.
2. M.H. Cartwright, M.J. Shepperd, Q. Song, Dealing with issuing software project data, in: 9th IEEE International Software Metrics Symposium, 2003, pp. 154-165.
3. N.E. Fenton, and S.L. Pfleeger Software Metrics: A Rigorous and Practical Approach second ed. 1997 PWS Publishing Company ITP, Boston, MA
4. P. Jönsson, C. Wohlin, An evaluation of k-nearest neighbour imputation using likert data, in: 10th IEEE International Symposium on Software Metrics (METRICS'04), 2004, pp. 108-118.
5. T.M. Khoshgoftaar, A. Folleco, L. Bullard, J. Van Hulse, Software quality imputation in the presence of noisy data, in: Proceedings of the IEEE International Conference on Information Reuse and Integration (IRI 2006). Hawaii, 2006, pp. 484-489.
6. T.M. Khoshgoftaar, and N. Seliya Comparative assessment of software quality classification techniques: an empirical case study Empirical Software Engineering Journal 9 2 2004 229 257
7. T.M. Khoshgoftaar, and J. Van Hulse Identifying noisy features with the pairwise attribute noise detection algorithm Intelligent Data Analysis: An International Journal 9 6 2005 589 602
8. T.M. Khoshgoftaar, and J. Van Hulse Imputation techniques for multivariate missingness in software measurement data Software Quality Journal 16 4 2008 563 600
9. T.M. Khoshgoftaar, S. Zhong, and V. Joshi Enhancing software quality estimation using ensemble-classifier based noise filtering Intelligent Data Analysis: An International Journal 9 1 2005 3 27
10. R.J.A. Little, and D.B. Rubin Statistical Analysis with Missing Data second ed. 2002 John Wiley and Sons Hoboken, NJ
11. I. Myrtveit, E. Stensrud, and U. Olsson Analyzing data sets with missing data: an empirical evaluation of imputation methods and likelihood-based methods IEEE Transactions on Software Engineering 27 11 2001 999 1013
12. SAS Institute, SAS/STAT User's Guide, SAS Institute Inc., 2004.
13. J.L. Schafer Analysis of Incomplete Multivariate Data 2000 Chapman and Hall/CRC
14. Q. Song, M.J. Shepperd, and M.H. Cartwright A short note on safest default missingness mechanism assumptions Empirical Software Engineering 10 2 2005 235 243
15. K. Strike, K.E. Emam, and N. Madhavji Software cost estimation with incomplete data IEEE Transactions on Software Engineering 27 10 2001 890 908
16. K. Tamura, T. Kakimoto, K. Toda, M. Tsunoda, A. Monden, and K. Matsumoto Empirical evaluation of missing data techniques for effort estimation 2009 doi: 10.1.1.145.780
17. B. Twala An empirical comparison of techniques for handling incomplete data using decision trees Applied Artificial Intelligence: An International Journal 23 5 2009 373 405
18. B. Twala, M.H. Cartwright, Ensemble imputation methods for missing software engineering data, in: Proceedings of 11th IEEE International Software Metrics Symposium, 2005, pp. 30-40.
19. J. Van Hulse, T.M. Khoshgoftaar, Incomplete-case nearest neighbor imputation in software measurement data, in: Proceedings of the IEEE International Conference on Information Reuse and Integration (IRI 2007), Las Vegas, NV, 2007, pp. 630-637.
20. J. Van Hulse, T.M. Khoshgoftaar, C. Seiffert, A comparison of software fault imputation procedures, in: Proceedings of the IEEE International Conference on Machine Learning and Applications (ICMLA 2006), Orlando, FL, 2006, pp. 135-142.
21. I. Wasito, and B. Mirkin Nearest neighbour approach in the least-squares data imputation algorithms Information Sciences 169 1-2 2005 1 25
22. S. Zhong, T.M. Khoshgoftaar, and N. Seliya Analyzing software measurement data with clustering techniques IEEE Intelligent Systems 2004 22 29