Evolving Software Effort Estimation Models Using Multigene Symbolic Regression Genetic Programming
نویسندگان
چکیده
منابع مشابه
Evolving Software Effort Estimation Models Using Multigene Symbolic Regression Genetic Programming
Software has played an essential role in engineering, economic development, stock market growth and military applications. Mature software industry count on highly predictive software effort estimation models. Correct estimation of software effort lead to correct estimation of budget and development time. It also allows companies to develop appropriate time plan for marketing campaign. Now a da...
متن کاملOptimizing Thermostable Enzymes Production Using Multigene Symbolic Regression Genetic Programming
Thermostable enzymes production depends on number of attributes such as temperature, pH, inoculum, time and agitation. Optimizing the relationship between these attributes has been a challenge in biochemical research field. Machine learning techniques such as Artificial Neural Networks (ANN), Fuzzy Logic (FL) and Genetic Algorithms (GAs) were used to solve the lipase activity modeling problem. ...
متن کاملEstimation of software project effort using nonlinear regression models
Accurate estimation of software project effort plays an important role in software project management and is one of the most difficult empirical modeling tasks in software engineering. This paper introduces a piecewise linear regression model with a change point [9, 10] which includes the well-known COCOMO model as a special case. Our model is used to estimate software project effort using a NA...
متن کاملGenetic Programming for Symbolic Regression
Genetic programming (GP) is a supervised learning method motivated by an analogy to biological evolution. GP creates successor hypotheses by repeatedly mutating and crossovering parts of the current best hypotheses, with expectation to find a good solution in the evolution process. In this report, the task to be performed was a symbolic regression problem, which is to find the symbolic function...
متن کاملSoftware Development Effort Estimation by Means of Genetic Programming
In this study, a genetic programming technique was used with the goal of estimating the effort required in the development of individual projects. Results obtained were compared with those generated by a statistical regression and by a neural network that have already been used to estimate the development effort of individual software projects. A sample of 132 projects developed by 40 programme...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Advanced Research in Artificial Intelligence
سال: 2013
ISSN: 2165-4069,2165-4050
DOI: 10.14569/ijarai.2013.021207