A probabilistic model for predicting software development effort
نویسندگان
چکیده
منابع مشابه
An Improved Algorithmic Method for Software Development Effort Estimation
Accurate estimating is one of the most important activities in the field of software project management. Different aspects of software projects must be estimated among which time and effort are of significant importance to efficient project planning. Due to complexity of software projects and lack of information at the early stages of project, reliable effort estimation is a challenging issue. ...
متن کاملAn Improved Algorithmic Method for Software Development Effort Estimation
Accurate estimating is one of the most important activities in the field of software project management. Different aspects of software projects must be estimated among which time and effort are of significant importance to efficient project planning. Due to complexity of software projects and lack of information at the early stages of project, reliable effort estimation is a challenging issue. ...
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Software project management has always faced challenges that have often had a great impact on the outcome of projects in future. For this, Managers of software projects always seek solutions against challenges. The implementation of unguaranteed approaches or mere personal experiences by managers does not necessarily suffice for solving the problems. Therefore, the management area of software p...
متن کاملBayesian Statistical Models for Predicting Software Development Effort
Constructing an accurate effort prediction model is a challenge in Software Engineering. This paper presents new Bayesian statistical models, in order to predict development effort of software systems in the International Software Benchmarking Standards Group (ISBSG) dataset. The first model is a Bayesian linear regression (BR) model and the second model is a Bayesian multivariate normal distri...
متن کاملA Hybrid Associative Classification Model for Software Development Effort Estimation
A mathematical model that makes use of data mining and soft computing techniques is proposed to estimate the software development effort. The proposed model works as follows: The parameters that have impact on the development effort are divided into groups based on the distribution of their values in the available dataset. The linguistic terms are identified for the divided groups using fuzzy f...
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ژورنال
عنوان ژورنال: IEEE Transactions on Software Engineering
سال: 2005
ISSN: 0098-5589
DOI: 10.1109/tse.2005.75