16 papers:
- SIGMOD-2015-HuangZYDLND0Z #big data #predict
- Telco Churn Prediction with Big Data (YH, FZ, MY, KD, YL, BN, WD, QY, JZ), pp. 607–618.
- SANER-2015-GuerroujAR #stack overflow
- The influence of App churn on App success and StackOverflow discussions (LG, SA, PCR), pp. 321–330.
- SCAM-2015-FaragoHF #cumulative #maintenance
- Cumulative code churn: Impact on maintainability (CF, PH, RF), pp. 141–150.
- RecSys-2015-SifaOB #analysis #migration
- User Churn Migration Analysis with DEDICOM (RS, CO, CB), pp. 321–324.
- DUXU-DI-2014-GencerBZV #detection #machine learning #mobile
- Detection of Churned and Retained Users with Machine Learning Methods for Mobile Applications (MG, GB, ÖZ, TV), pp. 234–245.
- ICEIS-v1-2014-MamcenkoG #mobile #predict #using
- Customer Churn Prediction in Mobile Operator Using Combined Model (JM, JG), pp. 233–240.
- ICSM-2012-DuseauDS #approach #named #visual notation
- Vasco: A visual approach to explore object churn in framework-intensive applications (FD, BD, HAS), pp. 15–24.
- MSR-2011-GigerPG #debugging #fine-grained #predict #source code
- Comparing fine-grained source code changes and code churn for bug prediction (EG, MP, HCG), pp. 83–92.
- SAC-2011-KimPHC #adaptation #network #peer-to-peer
- Adaptive link recovery scheme for structured peer-to-peer networks under churn (SK, GP, JH, YC), pp. 611–615.
- FSE-2010-FisherFMR #named
- HI-C: diagnosing object churn in framework-based applications (MFI, LM, BGR), pp. 379–380.
- SAC-2009-XuLQ #predict #privacy
- Privacy preserving churn prediction (SX, SL, MQ), pp. 1610–1614.
- OOPSLA-2008-ShankarAB #dynamic analysis #lightweight #named
- Jolt: lightweight dynamic analysis and removal of object churn (AS, MA, RB), pp. 127–142.
- SAC-2008-AtallaMAGA #behaviour #peer-to-peer #quality #web
- Analyzing the impact of churn and malicious behavior on the quality of peer-to-peer web search (FA, DM, JMA, MAG, VA), pp. 1137–1144.
- ICSE-2005-NagappanB #fault #metric #predict
- Use of relative code churn measures to predict system defect density (NN, TB), pp. 284–292.
- ICSM-1998-MunsonE #impact analysis
- Code Churn: A Measure for Estimating the Impact of Code Change (JCM, SGE), p. 24–?.
- ICSM-1994-KhoshgoftaarS #maintenance #predict
- Improving Code Churn Predictions During the System Test and Maintenance Phases (TMK, RMS), pp. 58–67.