Abstract is missing.
- Seven habits of highly impactful empirical software engineersLaurie Williams. 1 [doi]
- Does measuring code change improve fault prediction?Robert M. Bell, Thomas J. Ostrand, Elaine J. Weyuker. 2 [doi]
- An analysis of trends in productivity and cost drivers over yearsVu Nguyen, LiGuo Huang, Barry W. Boehm. 3 [doi]
- Handling missing data in software effort prediction with naive Bayes and EM algorithmWen Zhang, Ye Yang, Qing Wang. 4 [doi]
- Failure is a four-letter word: a parody in empirical researchAndreas Zeller, Thomas Zimmermann, Christian Bird. 5 [doi]
- Software effort estimation based on optimized model treeMohammad Azzeh. 6 [doi]
- Are change metrics good predictors for an evolving software product line?Sandeep Krishnan, Chris Strasburg, Robyn R. Lutz, Katerina Goseva-Popstojanova. 7 [doi]
- Detecting bug duplicate reports through local referencesTomi Prifti, Sean Banerjee, Bojan Cukic. 8 [doi]
- A principled evaluation of ensembles of learning machines for software effort estimationLeandro L. Minku, Xin Yao. 9 [doi]
- Nothing else matters: what predictive model should I use?Massimiliano Di Penta. 10 [doi]
- Studying the fix-time for bugs in large open source projectsLionel Marks, Ying Zou, Ahmed E. Hassan. 11 [doi]
- Selecting discriminating terms for bug assignment: a formal analysisIbrahim Aljarah, Shadi Banitaan, Sameer Abufardeh, Wei Jin, Saeed Salem. 12 [doi]
- Empirical validation of human factors in predicting issue lead time in open source projectsNguyen Duc Anh, Daniela Cruzes, Reidar Conradi, Claudia P. Ayala. 13 [doi]
- Local bias and its impacts on the performance of parametric estimation modelsYe Yang, Lang Xie, Zhimin He, Qi Li, Vu Nguyen, Barry W. Boehm, Ricardo Valerdi. 14 [doi]
- An iterative semi-supervised approach to software fault predictionHuihua Lu, Bojan Cukic, Mark Culp. 15 [doi]
- Customization support for CBR-based defect predictionElham Paikari, Bo Sun, Günther Ruhe, Emadoddin Livani. 16 [doi]
- An empirical evaluation of outlier deletion methods for analogy-based cost estimationMasateru Tsunoda, Takeshi Kakimoto, Akito Monden, Ken-ichi Matsumoto. 17 [doi]