A Comparison of the Reliability Growth of Open Source and In-House Software. Syed-Mohamad, S. & McBride, T. In Software Engineering Conference, 2008. APSEC '08. 15th Asia-Pacific, pages 229--236, December, 2008. doi abstract bibtex As commercial developers have established processes to assure software quality, open source software depends largely on community usage and defect reporting to achieve some level of quality. Thus, quality of open source software may vary. We examined defects reported in two active and popular open source software projects and an in-house project. The results of this analysis indicate that the reliability growth of each is quite distinct and that the defect profile of open source software appears to be a consequence of the open source software development method itself.
@inproceedings{ syed-mohamad_comparison_2008,
title = {A {Comparison} of the {Reliability} {Growth} of {Open} {Source} and {In}-{House} {Software}},
doi = {10.1109/APSEC.2008.20},
abstract = {As commercial developers have established processes to assure software quality, open source software depends largely on community usage and defect reporting to achieve some level of quality. Thus, quality of open source software may vary. We examined defects reported in two active and popular open source software projects and an in-house project. The results of this analysis indicate that the reliability growth of each is quite distinct and that the defect profile of open source software appears to be a consequence of the open source software development method itself.},
booktitle = {Software {Engineering} {Conference}, 2008. {APSEC} '08. 15th {Asia}-{Pacific}},
author = {Syed-Mohamad, S.M. and McBride, T.},
month = {December},
year = {2008},
keywords = {Defect Profile, In-house Software, Information technology, Open source software, Orthogonal defect classification (ODC), Predictive models, Programming, Reliability engineering, Software Quality, Testing, _based_on_odc, _done, _model_of_faults, _naming_fault_as_defect_model, _target_is_code, _target_is_interface, _use_for_prediction, data analysis, inhouse software reliability growth, open source software development method, open source software projects, open source software reliability growth, public domain software, software engineering, software reliability},
pages = {229--236}
}
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