1068 pc1 1 **Author**: Mike Chapman, NASA **Source**: [tera-PROMISE](http://openscience.us/repo/defect/mccabehalsted/pc1.html) - 2004 **Please cite**: Sayyad Shirabad, J. and Menzies, T.J. (2005) The PROMISE Repository of Software Engineering Databases. School of Information Technology and Engineering, University of Ottawa, Canada. **PC1 Software defect prediction** One of the NASA Metrics Data Program defect data sets. Data from flight software for earth orbiting satellite. Data comes from McCabe and Halstead features extractors of source code. These features were defined in the 70s in an attempt to objectively characterize code features that are associated with software quality. ### Attribute Information 1. loc : numeric % McCabe's line count of code 2. v(g) : numeric % McCabe "cyclomatic complexity" 3. ev(g) : numeric % McCabe "essential complexity" 4. iv(g) : numeric % McCabe "design complexity" 5. n : numeric % Halstead total operators + operands 6. v : numeric % Halstead "volume" 7. l : numeric % Halstead "program length" 8. d : numeric % Halstead "difficulty" 9. i : numeric % Halstead "intelligence" 10. e : numeric % Halstead "effort" 11. b : numeric % Halstead 12. t : numeric % Halstead's time estimator 13. lOCode : numeric % Halstead's line count 14. lOComment : numeric % Halstead's count of lines of comments 15. lOBlank : numeric % Halstead's count of blank lines 16. lOCodeAndComment: numeric 17. uniq_Op : numeric % unique operators 18. uniq_Opnd : numeric % unique operands 19. total_Op : numeric % total operators 20. total_Opnd : numeric % total operands 21. branchCount : numeric % of the flow graph 22. branchCount : numeric % of the flow graph 23. defects : {false,true} % module has/has not one or more reported defects ### Relevant papers - Shepperd, M. and Qinbao Song and Zhongbin Sun and Mair, C. (2013) Data Quality: Some Comments on the NASA Software Defect Datasets, IEEE Transactions on Software Engineering, 39. - Tim Menzies and Justin S. Di Stefano (2004) How Good is Your Blind Spot Sampling Policy? 2004 IEEE Conference on High Assurance Software Engineering. - T. Menzies and J. DiStefano and A. Orrego and R. Chapman (2004) Assessing Predictors of Software Defects", Workshop on Predictive Software Models, Chicago 1 ARFF Mike Chapman 2004 2014-10-06T23:57:45 English Public https://api.openml.org/data/v1/download/53951/pc1.arff https://openml1.win.tue.nl/datasets/0000/1068/dataset_1068.pq 53951 defects Sayyad Shirabad, J. and Menzies, T.J. (2005) The PROMISE Repository of Software Engineering Databases. School of Information Technology and Engineering, University of Ottawa, Canada. ChemistryLife Sciencemythbusting_1OpenML-CC18OpenML100PROMISEstudy_1study_123study_14study_15study_20study_34study_41study_52study_7study_98study_99 public http://openscience.us/repo/defect/mccabehalsted/pc1.html https://ieeexplore.ieee.org/abstract/document/6464273 https://openml1.win.tue.nl/datasets/0000/1068/dataset_1068.pq active 2020-11-20 20:59:43 32f17b71c893473d8e0645d268796794