On the relative value of cross-company and within-company data for defect prediction
نویسندگان
چکیده
منابع مشابه
Cross- vs Within-Company Defect Prediction Studies
In a recent May 2007 IEEE TSE article, Kitchenham et.al. explored effort estimation and found contradictory evidence about the value of crossvs within-company data. Those contradictory results may have been the result of effort estimation features, some of which are subjective in nature. Static code features are different than effort estimation features. They can be generated in an automatic, r...
متن کاملTransfer learning for cross-company software defect prediction
0950-5849/$ see front matter 2011 Elsevier B.V. A doi:10.1016/j.infsof.2011.09.007 ⇑ Corresponding author. Tel.: +86 028 61830557; fa E-mail addresses: [email protected] (Y. Ma), g [email protected] (X. Zeng), [email protected] Context: Software defect prediction studies usually built models using within-company data, but very few focused on the prediction models trained with cross-company da...
متن کاملA Multi-Source TrAdaBoost Approach for Cross-Company Defect Prediction
Cross-company defect prediction (CCDP) is a practical way that trains a prediction model by exploiting one or multiple projects of a source company and then applies the model to target company. Unfortunately, larger irrelevant crosscompany (CC) data usually makes it difficult to build a prediction model with high performance. On the other hand, brute force leveraging of CC data poorly related t...
متن کاملUsing Class Imbalance Learning for Cross-Company Defect Prediction
Cross-company defect prediction (CCDP) is a practical way that trains a prediction model by exploiting one or multiple projects of a source company and then applies the model to target company. Unfortunately, the performance of such CCDP models is susceptible to the high imbalanced nature between the defect-prone and non-defect classes of CC data. Class imbalance learning is applied to alleviat...
متن کاملCombing Data Filter and Data Sampling for Cross-Company Defect Prediction: An Empricial Study
Cross-company defect prediction (CCDP) is a practical way that trains a prediction model by exploiting one or multiple projects of a source company and then applies the model to target company. Unfortunately, larger irrelevant crosscompany (CC) data usually makes it difficult to build a prediction model with high performance. On the other hand, the CC data has the highly imbalanced nature betwe...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Empirical Software Engineering
سال: 2009
ISSN: 1382-3256,1573-7616
DOI: 10.1007/s10664-008-9103-7