Abstract is missing.
- Future challenges for software data collection and analysisBarry W. Boehm. 1 [doi]
- Can we build software faster and better and cheaper?Tim Menzies, Oussama El-Rawas, Jairus Hihn, Barry W. Boehm. 2 [doi]
- A tree-based approach to preserve the privacy of software engineering data and predictive modelsYu Fu, Akif Günes Koru, Zhiyuan Chen, Khaled El Emam. 3 [doi]
- Why comparative effort prediction studies may be invalidBarbara Kitchenham, Emilia Mendes. 4 [doi]
- Validation of network measures as indicators of defective modules in software systemsAyse Tosun, Burak Turhan, Ayse Basar Bener. 5 [doi]
- A Bayesian network approach to assess and predict software quality using activity-based quality modelsStefan Wagner. 6 [doi]
- Revisiting the evaluation of defect prediction modelsThilo Mende, Rainer Koschke. 7 [doi]
- Software effort estimation based on weighted fuzzy grey relational analysisMohammad Azzeh, Daniel Neagu, Peter I. Cowling. 8 [doi]
- Convertibility of functional size measurements: new insights and methodological issuesLuigi Lavazza. 9 [doi]
- Practical considerations in deploying AI for defect prediction: a case study within the Turkish telecommunication industryAyse Tosun, Burak Turhan, Ayse Basar Bener. 11 [doi]
- Classification of tasks using machine learningBernd Bruegge, Jörn David, Jonas Helming, Maximilian Koegel. 12 [doi]
- On the value of combining feature subset selection with genetic algorithms: faster learning of coverage modelsJames H. Andrews, Tim Menzies. 13 [doi]
- From software engineer to day trader in 3 easy steps: a comparison of software engineering (SE) data mining with financial data miningGary D. Boetticher. 14 [doi]
- How to build repeatable experimentsGregory Gay, Tim Menzies, Bojan Cukic, Burak Turhan. 15 [doi]
- Modeling success in FLOSS project groupsJustin M. Beaver, Xiaohui Cui, Jesse St. Charles, Thomas E. Potok. 16 [doi]
- Fault detection and prediction in an open-source software projectMichael English, Chris Exton, Irene Rigon, Brendan Cleary. 17 [doi]
- Using uncertainty as a model selection and comparison criterionSalvatore Alessandro Sarcià, Victor R. Basili, Giovanni Cantone. 18 [doi]
- Building statistically significant robust regression models in empirical software engineeringSandro Morasca. 19 [doi]
- Misclassification cost-sensitive fault prediction modelsYue Jiang, Bojan Cukic. 20 [doi]