Using Developer Information as a Factor for Fault Prediction
作者： Elaine J. Weyuker , Thomas J. Ostrand , Robert M. Bell
关键词:
摘要: We have been investigating different prediction models to identify which files of a large multi-release industrial software system are most likely contain the largest numbers faults in next release. To make predictions we considered number file characteristics and change information about files, built fully- automatable that do not require user any statistical expertise. now consider effect adding developer as factor assess extent this affects quality predictions.
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Peter McCullagh, John Ashworth Nelder, Generalized Linear Models ,(1983)
Lan Guo, Yan Ma, B. Cukic, H. Singh, Robust prediction of fault-proneness by random forests international symposium on software reliability engineering. pp. 417- 428 ,(2004) , 10.1109/ISSRE.2004.35
Robert M. Bell, Thomas J. Ostrand, Elaine J. Weyuker, Looking for bugs in all the right places Proceedings of the 2006 international symposium on Software testing and analysis - ISSTA'06. pp. 61- 72 ,(2006) , 10.1145/1146238.1146246
Erik Arisholm, Lionel C. Briand, Predicting fault-prone components in a java legacy system international symposium on empirical software engineering. pp. 8- 17 ,(2006) , 10.1145/1159733.1159738
Audris Mockus, David M. Weiss, Predicting risk of software changes Bell Labs Technical Journal. ,vol. 5, pp. 169- 180 ,(2000) , 10.1002/BLTJ.2229
Giancarlo Succi, Witold Pedrycz, Milorad Stefanovic, James Miller, None, Practical assessment of the models for identification of defect-prone classes in object-oriented commercial systems using design metrics Journal of Systems and Software. ,vol. 65, pp. 1- 12 ,(2003) , 10.1016/S0164-1212(02)00024-9
Thomas J. Ostrand, Elaine J. Weyuker, Robert M. Bell, Where the bugs are international symposium on software testing and analysis. ,vol. 29, pp. 86- 96 ,(2004) , 10.1145/1007512.1007524
T.M. Khoshgoftaar, E.B. Allen, K.S. Kalaichelvan, N. Goel, Early quality prediction: a case study in telecommunications IEEE Software. ,vol. 13, pp. 65- 71 ,(1996) , 10.1109/52.476287
L. Hatton, Reexamining the fault density component size connection IEEE Software. ,vol. 14, pp. 89- 97 ,(1997) , 10.1109/52.582978
Victor R. Basili, Barry T. Perricone, Software errors and complexity: an empirical investigation0 Communications of The ACM. ,vol. 27, pp. 42- 52 ,(1984) , 10.1145/69605.2085