Abstract is missing.
- The relationship between search based software engineering and predictive modelingMark Harman. 1 [doi]
- A baseline method for search-based software engineeringGregory Gay. 2 [doi]
- Case-based reasoning vs parametric models for software quality optimizationAdam Brady, Tim Menzies. 3 [doi]
- How effective is Tabu search to configure support vector regression for effort estimation?Anna Corazza, Sergio Di Martino, Filomena Ferrucci, Carmine Gravino, Federica Sarro, Emilia Mendes. 4 [doi]
- Replication of defect prediction studies: problems, pitfalls and recommendationsThilo Mende. 5 [doi]
- The role of the measure of functional complexity in effort estimationLuigi Lavazza, Gabriela Robiolo. 6 [doi]
- Modeling the relationship between software effort and size using deming regressionNikolaos Mittas, Makrina Viola Kosti, Vasiliki Argyropoulou, Lefteris Angelis. 7 [doi]
- Usage of multiple prediction models based on defect categoriesBora Caglayan, Ayse Tosun, Andriy V. Miranskyy, Ayse Basar Bener, Nuzio Ruffolo. 8 [doi]
- Towards identifying software project clusters with regard to defect predictionMarian Jureczko, Lech Madeyski. 9 [doi]
- Empirical analyses of the factors affecting confirmation bias and the effects of confirmation bias on software developer/tester performanceGul Calikli, Ayse Basar Bener. 10 [doi]
- Better, faster, and cheaper: what is better software?Burak Turhan, Çetin Meriçli, Tekin Meriçli. 11 [doi]
- Exploiting count spectra for Bayesian fault localizationRui Abreu, Alberto González-Sanchez, Arjan J. C. van Gemund. 12 [doi]
- Sensitivity of results to different data quality meta-data criteria in the sample selection of projects from the ISBSG datasetMarta Fernández-Diego, Mónica Martínez-Gómez, José-María Torralba-Martínez. 13 [doi]
- On the value of learning from defect dense components for software defect predictionHongyu Zhang, Adam Nelson, Tim Menzies. 14 [doi]
- Prediction of defect distribution based on project characteristics for proactive project managementYoungki Hong, Wondae Kim, Jeongsoo Joo. 15 [doi]
- Defect cost flow model: a Bayesian network for predicting defect correction effortThomas Schulz, Lukasz Radlinski, Thomas Gorges, Wolfgang Rosenstiel. 16 [doi]
- Towards a software failure cost impact model for the customer: an analysis of an open source productRalf Gitzel, Simone Krug, Manuel Brhel. 17 [doi]
- An analysis of developer metrics for fault predictionShinsuke Matsumoto, Yasutaka Kamei, Akito Monden, Ken-ichi Matsumoto, Masahide Nakamura. 18 [doi]
- Programmer-based fault predictionThomas J. Ostrand, Elaine J. Weyuker, Robert M. Bell. 19 [doi]