Software Effort Estimation Using NBC and SWR: A Comparison Based on ISBSG Projects
暂无分享,去创建一个
Marta Fernández-Diego | José-María Torralba-Martínez | Sanae Elmouaden | M. Fernández-Diego | J. Torralba-Martínez | Sanae Elmouaden
[1] Marta Fernández-Diego,et al. Sensitivity of results to different data quality meta-data criteria in the sample selection of projects from the ISBSG dataset , 2010, PROMISE '10.
[2] Parag C. Pendharkar,et al. An empirical study of the effect of complexity, platform, and program type on software development effort of business applications , 2006, Empirical Software Engineering.
[3] Jeffrey J. P. Tsai,et al. Machine learning applications in software engineering , 2005 .
[4] John Moses. Learning how to improve effort estimation in small software development companies , 2000, Proceedings 24th Annual International Computer Software and Applications Conference. COMPSAC2000.
[5] Emilia Mendes,et al. Investigating the use of chronological split for software effort estimation , 2009, IET Softw..
[6] Stephen G. MacDonell,et al. What accuracy statistics really measure , 2001, IEE Proc. Softw..
[7] Emilia Mendes,et al. Bayesian Network Models for Web Effort Prediction: A Comparative Study , 2008, IEEE Transactions on Software Engineering.
[8] Ioannis Stamelos,et al. Bayesian Belief Networks as a Software Productivity Estimation Tool , 2003 .
[9] Peter Naudé,et al. An Investigation on the Variation of Software Development Productivity , 2007 .
[10] Doo-Hwan Bae,et al. An empirical analysis of software effort estimation with outlier elimination , 2008, PROMISE '08.
[11] D. Ross Jeffery,et al. Using public domain metrics to estimate software development effort , 2001, Proceedings Seventh International Software Metrics Symposium.
[12] Emilia Mendes,et al. Further comparison of cross-company and within-company effort estimation models for Web applications , 2004 .
[13] Martin Shepperd,et al. Data Sets and Data Quality in Software Engineering: Eight Years On , 2016, PROMISE.
[14] Yu-Jen Liu,et al. A comparative evaluation on the accuracies of software effort estimates from clustered data , 2008, Inf. Softw. Technol..
[15] Lukasz Radlinski. A SURVEY OF BAYESIAN NET MODELS FOR SOFTWARE DEVELOPMENT EFFORT PREDICTION , 2010 .
[16] Katrina D. Maxwell,et al. Applied Statistics for Software Managers , 2002 .
[17] N. Fenton,et al. ESTIMATING PRODUCTIVITY AND DEFECT RATES BASED ON ENVIRONMENTAL FACTORS , 2008 .
[18] Emilia Mendes,et al. Cross-company and single-company effort models using the ISBSG database: a further replicated study , 2006, ISESE '06.
[19] Barry W. Boehm,et al. Bayesian Analysis of Empirical Software Engineering Cost Models , 1999, IEEE Trans. Software Eng..
[20] Emilia Mendes,et al. Further comparison of cross-company and within-company effort estimation models for Web applications , 2004, 10th International Symposium on Software Metrics, 2004. Proceedings..
[21] Norman E. Fenton,et al. Improved Bayesian Networks for Software Project Risk Assessment Using Dynamic Discretisation , 2006, SET.
[22] Parag C. Pendharkar,et al. A Probabilistic Model for Predicting Software Development Effort , 2003, ICCSA.
[23] Marcel Korte,et al. Confidence in software cost estimation results based on MMRE and PRED , 2008, PROMISE '08.
[24] Judy M. Vance,et al. Assessment of VR Technology and its Applications to Engineering Problems , 2001, J. Comput. Inf. Sci. Eng..
[25] Stephen G. MacDonell,et al. Maximizing data retention from the ISBSG repository , 2008, EASE.
[26] B. Stewart. Predicting project delivery rates using the Naive-Bayes classifier , 2002, J. Softw. Maintenance Res. Pract..
[27] Peter Norvig,et al. Artificial Intelligence: A Modern Approach , 1995 .
[28] H. E. Dunsmore,et al. Software engineering metrics and models , 1986 .
[29] Craig Comstock,et al. The Factors Significant to Software Development Productivity , 2007 .
[30] Emilia Mendes. Predicting Web Development Effort Using a Bayesian Network , 2007, EASE.