![]() Port, D., Korte, M.: Comparative studies of the model evaluation criterions mmre and pred in software cost estimation research. Tibshirani, R.: Regression shrinkage and selection via the lasso. Tabachnick, B.G., Fidell, L.S.: Using Multivariate Statistics. This study examines the effect on effort estimation accuracy of weighted moving windows that are based on fixed duration. Loader, C.: Local Regression and Likelihood. Maxwell, K.D.: Applied Statistics for Software Managers. Li, J., Ruhe, G.: Analysis of attribute weighting heuristics for analogy-based software effort estimation method AQUA+. Keung, J.W., Kitchenham, B.A., Jeffery, D.R.: Analogy-X: Providing Statistical Inference to Analogy-Based Software Cost Estimation. Duration Windows is one of the UK’s largest trade manufacturers of domestic aluminium windows and doors and aluminium roofs. Mendes, E., Lokan, C.: Investigating the use of chronological splitting to compare software cross-company and single-company effort predictions: A replicated study. Springer, Heidelberg (2013)Īuer, M., Biffl, S.: Increasing the accuracy and reliability of analogy-based cost estimation with extensive project feature dimension weighting. In: Heidrich, J., Oivo, M., Jedlitschka, A., Baldassarre, M.T. 818–827 (2012)Īmasaki, S., Lokan, C.: The evaluation of weighted moving windows for software effort estimation. Lokan, C., Mendes, E.: Investigating the Use of Duration-Based Moving Windows to Improve Software Effort Prediction. Lokan, C., Mendes, E.: Applying moving windows to software effort estimation. ![]() This process is experimental and the keywords may be updated as the learning algorithm improves. In this instance, you can see that the LABAdministrator account had logged in (ID 4624) on at 5:28PM with a. If we can find a session start time and then look up through the event log for the next session stop time with the same Logon ID we’ve found that user’s total session time. Get the inside scoop on jobs, salaries, top office locations, and CEO insights. These keywords were added by machine and not by the authors. This is a unique field for each logon session. Find out what works well at Duration Windows from the people who know best. This result contributes further to understanding properties of moving windows. Weighting methods are found to improve estimation accuracy significantly in larger windows, and the methods also significantly improved accuracy in smaller windows in terms of MRE. We compare weighted and unweighted moving windows under the same experimental settings. This study examines the effect on effort estimation accuracy of weighted moving windows that are based on fixed duration. A recent study extended the idea of windows, by weighting projects differently according to their order within the window, and found that weighted moving windows could significantly improve estimation accuracy. Windows can be defined as having a fixed size (containing a fixed number of projects), or as having a fixed duration. ![]() Several studies in software effort estimation have found that it can be effective to use a window of recent projects as training data for building an effort estimation model.
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