Software fault prediction using language processing

Proceedings - Testing: Academic and Industrial Conference Practice and Research Techniques, TAIC PART-Mutation 2007

Volumn , Issue , 2007, Pages 99-108

  Binkley, David ^a   Feild, Henry ^a   Lawrie, Dawn ^a   Pighin, Maurizio ^b  

^a LOYOLA UNIVERSITY MARYLAND   (United States)

^b UNIVERSITY OF UDINE   (Italy)

Author keywords

Code comprehension; Empirical software engineering; Fault prediction; Information retrieval

Indexed keywords

ANIMAL CELL CULTURE; CHLORINE COMPOUNDS; CORRELATION METHODS; FOOD PROCESSING; FORECASTING; INDUSTRIAL RESEARCH; INFORMATION SERVICES; LINGUISTICS; NONLINEAR CONTROL SYSTEMS; REGRESSION ANALYSIS; SEARCH ENGINES;

ACCURATE PREDICTION; CASE STUDIES; CODE COMPREHENSION; EMPIRICAL SOFTWARE ENGINEERING; FAULT PREDICTION; INFORMATION RETRIEVAL; LANGUAGE PROCESSING; OPEN SOURCES; REGRESSION MODELLING; SOFTWARE DEVELOPMENT; SOFTWARE FAULT PREDICTION;

COMPUTER SOFTWARE SELECTION AND EVALUATION;

EID: 48049123709     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/TAICPART.2007.4344105     Document Type: Conference Paper

References (26)

1. G. Antoniol, G. Canfora, G. Casazza, A. De Lucia, and E. Merlo. Recovering traceability links between code and documentation. IEEE Transactions on Software Engineering, 28(10), October 2002.
2. R. Bell, T. Ostrand, and E. Weyuker. Looking for bugs in all the right places. In Proceedings of the 2006 International Symposium on Software Testing and Analysis (ISSTA), Portland, MA, July 2006.
3. S. Chidamber and C. Kemerer. A metrics suite for object oriented design. IEEE Transactions on Software Engineering, 20(6), June 1994.
4. ML Collard, HH Kagdi, and JI Maletic. An XML-based lightweight C++ fact extractor. Program Comprehension, 2003. 11th IEEE International Workshop on, pages 134-143, 2003.
5. F. Deißenböck and M. Pizka. Concise and consistent naming. In Proceedings of the 13th International Workshop on Program Comprehension (IWPC 2005), St. Louis, MO, USA, May 2005. IEEE Computer Society.
6. H. Feild, D. Binkley, and D. Lawrie. An empirical comparison of techniques for extracting concept abbreviations from identifiers. In Proceedings of IASTED International Conference on Software Engineering and Applications (SEA 2006), Dallas, TX, November 2006.
7. N.E. Fenton and N. Ohlsson. Quantitative analysis of faults and failures in a complex software system. IEEE Transactions on Software Engineering, 26(8), 2000.
8. R. Ferenc, A. Beszédes, M. Tarkiainen, and T. Gyimóthy. Columbus - reverse engineering tool and schema for C++. In IEEE International Conference on Software Maintenance (ICSM 2002), Montreal, Canada, October 2002. IEEE Computer Society Press, Los Alamitos, California, USA.
9. T. Gyimóthy, R. Ferenc, and I. Siket. Emperical validation of object-oriented metrics on open source software for fault prediction. IEEE Transactions on Software Engineering, 31(10), October 2005.
10. G. Koru and J. Tian. Comparing high-change modules and modules with the highest measurement values in two large-scale open-source products. IEEE Transactions on Software Engineering, 33(8), August 2007.
11. J. Kothari, M. Shevertalov, E. Stehle, and Spiros Mancoridis. A probabilistic approach to source code authorship identification. In Proceedings of the 4th International Conference on Information technology: New Generations, Las Vegas, NV, April 2007.
12. V. Lavrenko and W.B. Croft. Relevance-based language models. In W. B. Croft, D. J. Harper, D. H. Kraft, and J. Zobel, editors, Proceedings on the 24th annual international ACM SIGIR conference on Research and development in information retrieval, 2001.
13. D. Lawrie, D. Binkley, and H. Feild. Syntactic identifier conciseness and consistency. In Proceedings of 2006 IEEE Workshop on Source Code Analysis and Manipulation (SCAM'06), Phidelphia, USA, September 2006.
14. D. Lawrie, H. Feild, and D. Binkley. Leveraged quality assessment using information retrieval techniques. In 14th International Conference on Program Comprehension, 2006.
15. th IEEE/ACM International Conference on Software Engineering, Portland, OR, May 2003.
16. T. Menzies, J. Greenwald, and A. Fransk. Data mining static code attributes to learn defect predictors. IEEE Transactions on Software Engineering, 33(1), January 2007.
17. T. Mitchell. Machine learning. WCB McGraw-Hill, 1997.
18. C. Morrell, J. Pearson, and L. Brant. Linear transformation of linear mixed effects models. The American Statistician, 51, 1997.
19. J.C. Munson and T.M. Khoshgoftaar. The detection of fault-prone programs. IEEE Transactions on Software Engineering, 18(5), 1992.
20. st Testing: Academic and Industrial Conference (TAIC-PART), Windor, UK, August 2006.
21. A.A. Porter and R.W. Selby. Empirically guided software development using metric-based classification trees. IEEE Software, 7(2), 1990.
22. G. Salton and M. McGill. Introduction to modern information retrieval. McGraw-Hill Book Company, 1983.
23. J. Tian and J. Troster. A comparison of measurement and defect characteristics of new and legacy software systems. Systems and Software, 44(12), 1998.
24. C.J. van Rijsbergen. Information retrieval. Butterworths, London, second edition, 1979.
25. G. Verbeke and G. Molenberghs. Linear mixed models for longitudinal data. Springer-Verlag, New York, second edition, 2001.
26. David A. Wheeler. SLOC count user's guide, 2005. http://www.dwheeler.com/ sloccount/sloccount.html.