User Tools

Site Tools


data_mining_static_code_attributes_to_learn_defect_predictors

Differences

This shows you the differences between two versions of the page.

Link to this comparison view

Both sides previous revision Previous revision
Next revision
Previous revision
data_mining_static_code_attributes_to_learn_defect_predictors [2014/02/15 12:48]
yann
data_mining_static_code_attributes_to_learn_defect_predictors [2017/09/06 01:54] (current)
Line 35: Line 35:
   * For //pc4//, the best code metrics are loc_blanks, loc_code_and_command,​ percent_comments;​   * For //pc4//, the best code metrics are loc_blanks, loc_code_and_command,​ percent_comments;​
  
 +The only limitations to the study (in addition to the threats mentioned in the paper) are that one of the authors worked with the NASA on the MDP program, thus there is possibly an experimenter bias. More seriously, the NASA MDP only provide metric values, no source code is available to check the quality of the data, compute different metrics, and apply different analyses!
data_mining_static_code_attributes_to_learn_defect_predictors.1392468525.txt.gz ยท Last modified: 2017/09/06 01:54 (external edit)