An investigation into the functional form of the size-defect relationship for software modules

IEEE Transactions on Software Engineering

Volumn 35, Issue 2 SPEC. ISS., 2009, Pages 293-304

  Koru, A Güneş ^a   Zhang, Dongsong ^a   El Emam, Khaled ^b,c   Liu, Hongfang ^d  

^a University of Marylandw Baltimore County   (United States)

^b UNIVERSITY OF OTTAWA   (Canada)

^c CHILDREN S HOSPITAL OF EASTERN ONTARIO   (Canada)

^d GEORGETOWN UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

Measurement applied to SQA and V V; Open source software; Planning for SQA and V V; Product metrics; Size defect relationship; Software science

Indexed keywords

COST EFFECTIVES; FUNCTIONAL FORMS; INSPECTION STRATEGIES; LARGE-SCALE SOFTWARE PROJECTS; MODULE SIZES; MOZILLA; OBJECT-ORIENTED; OPEN-SOURCE SOFTWARE; PRIORITIZATION; PRODUCT METRICS; SIZE-DEFECT RELATIONSHIP; SOFTWARE MODULES; SOFTWARE SCIENCE;

DEFECTS; FLOW PATTERNS; QUALITY ASSURANCE; QUALITY CONTROL; TOTAL QUALITY MANAGEMENT;

COMPUTER SOFTWARE SELECTION AND EVALUATION;

EID: 67349212116     PISSN: 00985589     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSE.2008.90     Document Type: Article

References (60)

1. F. Akiyama, "An Example of Software System Debuggings," Proc. Int'l Federation of Information Processing Societies Congress, vol. 1, pp. 353-359, 1971.
2. P.K. Andersen, O. Borgan, R.D. Gill, and N. Keiding, Statistical Models Based on Counting Processes. Springer-Verlag, 1993.
3. P.K. Andersen and R.D. Gill, "Cox's Regression Model for Counting Processes: A Large Sample Study," Annals of Statistics, vol. 10, pp. 1100-1120, 19
4. C. Andersson and P. Runeson, "A Replicated Quantitative Analysis of Fault Distributions in Complex Software Systems," IEEE Trans. Software Eng., vol. 33, no. 5, pp. 273-286, May 2007.
5. D.L. Atkins, T. Ball, T.L. Graves, and A. Mockus, "Using Version Control Data to Evaluate the Impact of Software Tools: A Case Study of the Version Editor," IEEE Trans. Software Eng., vol. 28, no. 7, pp. 625-637, July 2002.
6. V.R. Basili and B.T. Perricone, "Software Errors and Complexity: An Empirical Investigation," Comm. ACM, vol. 27, no. 1, pp. 42-52, 1984.
7. L.C. Briand, V.R. Basili, and C.J. Hetmanski, "Developing Interpretable Models with Optimized Set Reduction for Identifying High-Risk Software Components," IEEE Trans. Software Eng., vol. 19, no. 11, pp. 1028-1044, Nov. 1993.
8. D.N. Card and R.L. Glass, Measuring Software Design Quality. Prentice Hall, 1990.
9. F. Chayes, Ratio Correlation: A Manual for Students of Petrology and Geochemistry. Univ. of Chicago Press, 1971.
10. Cn3D Project, Archived by Webcite at http://www.webcitation.org/ 5TuzAf1KC, 2007.
11. B.T. Compton and C. Withrow, "Prediction and Control of Ada Software Defects," J. Systems and Software, vol. 12, no. 3, pp. 199-207, 1990.
12. Concurrent Versions Software, p. Archived by Webcite at http:// www.webcitation.org/5TuzMgxuG, 2007.
13. D.R. Cox, "Regression Models and Life Tables," J. Royal Statistical Soc., vol. 34, pp. 187-220, 1972.
14. Eclipse Project, Archived by Webcite at http://www.webcitation. org/5TuyrW4y4, 2007.
15. K. El Emam, The ROI from Software Quality. Auerbach Publications, Taylor and Francis Group, LLC, 2005.
16. K. El Emam, S. Benlarbi, N. Goel, W. Melo, H. Lounis, and S.N. Rai, "The Optimal Class Size for Object-Oriented Software," IEEE Trans. Software Eng., vol. 28, no. 5, pp. 494-509, May 2002.
17. K. El Emam, S. Benlarbi, N. Goel, and S.N. Rai, "The Confounding Effect of Class Size on the Validity of Object-Oriented Metrics," IEEE Trans. Software Eng., vol. 27, no. 7, pp. 630-650, July 2001.
18. K. El Emam, W. Melo, and J.C. Machado, "The Prediction of Faulty Classes Using Object-Oriented Design Metrics," J. Systems and Software, vol. 56, no. 1, pp. 63-75, 2001.
19. N.E. Fenton and M. Neil, "A Critique of Software Defect Prediction Models," IEEE Trans. Software Eng., vol. 25, no. 5, pp. 675-689, Sept./Oct. 1999.
20. N.E. Fenton and N. Ohlsson, "Quantitative Analysis of Faults and Failures in a Complex Software System," IEEE Trans. Software Eng. vol. 26, no. 8, pp. 797-814, Aug. 2000.
21. Y. Funami and M.H. Halstead, "A Software Physics Analysis of Akiyama's Debugging Data," Proc. MRI XXIV Int'l Symp. Computer Software Eng. pp. 133-138, 1976.
22. J.E. Gaffney, "Estimating the Number of Faults in Code," IEEE Trans. Software Eng., vol. 10, no. 4, pp. 459-465, 1984.
23. T. Gyimothy, R. Ferenc, and I. Siket, "Empirical Validation of Object-Oriented Metrics on Open Source Software for Fault Prediction," IEEE Trans. Software Eng., vol. 31, no. 10, pp. 897-910, Oct. 2005.
24. M.H. Halstead, Elements of Software Science. Elsevier, 1977.
25. P.G. Hamer and G.D. Frewin, "M.H. Halstead's Software Science - A Critical Examination," Proc. Sixth Int'l Conf. Software Eng., pp. 197-206, 1982.
26. F.E. Harrell, Regression Modeling Strategies: With Applications to Linear Modes, Logistic Regression, and Survival Analysis. Springer-Verlag, 2001.
27. L. Hatton, "Reexamining the Fault Density-Component Size Connection," IEEE Software, vol. 14, no. 2, pp. 89-97, Apr. 1997.
28. L. Hatton, "Does OO Sync with the Way We Think," IEEE Software, vol. 15, no. 3, pp. 46-54, May/June 1998.
29. D.W. Hosmer and S. Lemeshow, Applied Survival Analysis: Regression Modeling of Time to Event Data. John Wiley & Sons, 1999.
30. JBoss Project, Archived by Webcite at http://www.webcitation.org/ 5TuyyIF4R, 2007.
31. T.M. Khoshgoftaar, E.B. Allen, J. Hudepohl, and S. Aud, "Applications of Neural Networks to Software Quality Modeling of a Very Large Telecommunications System," IEEE Trans. Neural Networks, vol. 8, no. 4, pp. 902-909, 1997.
32. T.M. Khoshgoftaar and R.M. Szabo, "Using Neural Networks to Predict Software Faults during Testing," IEEE Trans. Reliability, vol. 45, no. 3, pp. 456-462, 1996.
33. A.G. Koru and J. Tian, "An Empirical Comparison and Characterization of High Defect and High Complexity Modules," J. Systems and Software vol. 67, no. 3, pp. 153-163, 2003.
34. A.G. Koru and J. Tian, "Defect Handling in Medium and Large Open Source Projects," IEEE Software, vol. 21, no. 4, pp. 54-61, July/Aug. 2004.
35. A.G. Koru and J. Tian, "Comparing High Change Modules and Modules with the Highest Measurement Values in Two Large-Scale Open-Source Products," IEEE Trans. Software Eng., vol. 31, no. 8, pp. 625-642, Aug. 2005.
36. A.G. Koru, D. Zhang, and H. Liu, "Modeling the Effect of Size on Defect Proneness for Open-Source Software," Proc. Third Int'l Workshop Predictor Models in Software Eng., 2007.
37. J.-C. Laprie and K. Kanoon, "Software Reliability and System Reliability," Handbook of Software Reliability Engineering, M.R. Lyu, ed., vol. 1, pp. 27-69, IEEE CS Press-McGraw Hill, 1996.
38. M. Lipow, "Number of Faults per Line of Code," IEEE Trans. Software Eng., vol. 8, no. 4, pp. 437-439, 1982.
39. T.J. McCabe, "A Complexity Measure," IEEE Trans. Software Eng., vol. 2, no. 6, pp. 308-320, 1976.
40. A. Mockus, R.T. Fielding, and J. Herbsleb, "A Case Study of Open Source Software Development: The Apache Server," Proc. 22nd Int'l Conf. Software Eng., pp. 263-272, 2000.
41. A. Mockus, R.T. Fielding, and J. Herbsleb, "Two Case Studies of Open Source Software Development: Apache and Mozilla," ACM Trans. Software Eng. and Methodology, vol. 11, no. 3, pp. 309-346, 2002.
42. K. Moller and D. Paulish, "An Empirical Investigation of Software Fault Distribution," Proc. First Int'l Software Metrics Symp., pp. 82-90, May 1993.
43. Mozilla Project, Archived by Webcite at http://www.webcitation. org/5RqqbCKKm, 2007.
44. J.C. Munson and T.M. Khoshgoftaar, "The Detection of Fault-Prone Programs," IEEE Trans. Software Eng., vol. 18, no. 5, pp. 423-433, May 1992.
45. L.M. Ottenstein, "Quantitative Estimates of Debugging Requirements," IEEE Trans. Software Eng., vol. 5, no. 5, pp. 504-514, 1979.
46. A.A. Porter and R.W. Selby, "Empirically Guided Software Development Using Metric-Based Classification Trees," IEEE Software, vol. 7, no. 2, pp. 46-54, Apr. 1990.
47. E.S. Raymond, The Cathedral and the Bazaar: Musings on Linux and Open Source by an Accidental Revolutionary. O'Reilly and Assoc., 1999.
48. J. Rosenberg, "Some Misconceptions about Lines of Code," Proc. Fourth Int'l Symp. Software Metrics, pp. 137-142, 1997.
49. M. Schemper and J. Stare, "Explained Variation in Survival Analysis," Statistics in Medicine, vol. 15, pp. 1999-2012, 1996.
50. N.F. Schneidewind and H.-M. Hoffmann, "An Experiment in Software Error Data Collection and Analysis," IEEE Trans. Software Eng., vol. 5, no. 3, pp. 276-285, 1978.
51. Understand for C++: User Guide and Reference Manual, I. Scientific Toolworks, Jan. 2003.
52. R.W. Selby and V.R. Basili, "Analyzing Error-Prone System Structure," IEEE Trans. Software Eng., vol. 17, no. 2, pp. 141-152, Feb. 1991.
53. V.Y. Shen, T.J. Yu, S.M. Thebaut, and L. Paulsen, "Identifying Error-Prone Software - An Empirical Study," IEEE Trans. Software Eng., vol. 11, no. 4, pp. 317-324, 1985.
54. Subversion, Archived by Webcite at http://www.webcitation.org/ 5U90RHRqb, 2007.
55. R. Thayer, M. Lipow, and E. Nelson, Software Reliability. North-Holland, 1978.
56. T.M. Therneau and P.M. Grambsch, Modeling Survival Data: Extending the Cox Model. Springer-Verlag, 2000.
57. T.M. Therneau, P.M. Grambsch, and T.R. Fleming, "Martingale Based Residuals for Survival Models," Biometrika, vol. 77, pp. 147-160, 1990.
58. J. Tian, "Quality Assurance Alternatives and Techniques: A Defect-Based Survey and Analysis," Software Quality Professional, vol. 3, no. 3, pp. 6-18, 2001.
59. J. Tian, Software Quality Engineering: Testing, Quality Assurance, and Quantifiable Improvement. John Wiley & Sons, 2005.
60. J. Troster and J. Tian, "Measurement and Defect Modeling for a Legacy Software System," Annals of Software Eng., vol. 1, pp. 95-118, 1995.