Industrial adoption of machine learning techniques for early identification of invalid bug reports
Despite the accuracy of machine learning (ML) techniques in predict-ing invalid bug reports, as shown in earlier research, and the importance of earlyidentification of invalid bug reports in software maintenance, the adoption of MLtechniques for this task in industrial practice is yet to be investigated. In this study,we used a technology transfer model to guide the adoption of an ML technique at Despite the accuracy of machine learning (ML) techniques in predicting invalid bug reports, as shown in earlier research, and the importance of early identification of invalid bug reports in software maintenance, the adoption of ML techniques for this task in industrial practice is yet to be investigated. In this study, we used a technology transfer model to guide the adoption of an ML technique a