Bayesian Network Based XP Process Modelling
نویسندگان
چکیده
A Bayesian Network based mathematical model has been used for modelling Extreme Programming software development process. The model is capable of predicting the expected finish time and the expected defect rate for each XP release. Therefore, it can be used to determine the success/failure of any XP Project. The model takes into account the effect of three XP practices, namely: Pair Programming, Test Driven Development and Onsite Customer practices. The model’s predictions were validated against two case studies. Results show the precision of our model especially in predicting the project finish time.
منابع مشابه
Modelling non-stationary gene regulatory processes with a non-homogeneous dynamic Bayesian network and the change point process
We propose a novel dynamic Bayesian network approach for modelling non-homogeneous and non-linear dynamic gene-regulatory processes. The new approach is based on a change-point process and a mixture model, using latent variables to assign individual measurements to different components. The practical inference follows the Bayesian paradigm, and we use small synthetic dynamic network domains to ...
متن کاملComparison of Neural Network Models, Vector Auto Regression (VAR), Bayesian Vector-Autoregressive (BVAR), Generalized Auto Regressive Conditional Heteroskedasticity (GARCH) Process and Time Series in Forecasting Inflation in Iran
This paper has two aims. The first is forecasting inflation in Iran using Macroeconomic variables data in Iran (Inflation rate, liquidity, GDP, prices of imported goods and exchange rates) , and the second is comparing the performance of forecasting vector auto regression (VAR), Bayesian Vector-Autoregressive (BVAR), GARCH, time series and neural network models by which Iran's inflation is for...
متن کاملIntegration of Activity Modeller with Bayesian Network Based Recommender for Business Processes
Formalized process models help to handle, design and store processes in a form understandable for the designers and users. As model repositories often contain similar or related models, they should be used when modelling new processes in a form of automated recommendations. It is important, as designers prefer to receive and use suggestions during the modelling process. Recommendations make mod...
متن کاملProbabilistic Approaches to Estimating the Quality of Information in Military Sensor Networks
Modelling based on probabilistic inference can be used to estimate the quality of information delivered by a military sensor network. Different modelling tools have complementary characteristics that can be leveraged to create an accurate model open to intuitive and efficient querying. In particular, stochastic process models can be used to abstract away from the physical reality by describing ...
متن کاملAdaptive Bayesian Networks for Multilevel Student Modelling
In this paper we present an integrated theoretical approach for student modelling based on an Adaptive Bayesian Network. A mathematical formalization of the Adaptive Bayesian Network is provided, and new question selection criteria presented. Using this theoretical framework, a tool to assist in the diagnosis process has been implemented. This tool allows the definition of Bayesian Adaptive Tes...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
- CoRR
دوره abs/1007.5115 شماره
صفحات -
تاریخ انتشار 2010