Baesens, Bart

Dejaeger, Karel

Martens, David

Setiono, Rudy

Verbeke, Wouter

English

Research Papers in Economics

A comparison of software effort estimation techniques: Using function points with neural networks, case-based reasoning and regression models,”

A ﬂexible method for software effort estimation by analogy,”

A general empirical solution to the macro software sizing and estimation problem,”

A general regression neural network,”

A systematic review of software development cost estimation studies,”

Acceptance by medical experts of rules generated by machine learning,”

An empirical validation of software cost estimation models,”

Analyse statistique de la productivities des projets de developpement en informatique apartir de la techniques des points de fonction,”

Can Neural Networks be easily Interpreted

Classiﬁcation and Regression Trees.

Colored information from a black box ? Validation and evaluation of neural networks,”

Comparative Studies of the Model Evaluation Criterions

Comparison of artiﬁcial neural networks and regression models for estimating software development effort,”

Comprehensible credit scoring models using rule extraction from support vector machines,”

Effort drivers in maintenance outsourcing: an experiment using Taguchi’s methodology,”

Estimating software development effort with connectionist models,”

Estimating software maintenance effort- a neural network approach,”

Extraction of rules from artiﬁcial neural networks for nonlinear regression,”

Fast learning in networks of locally-tuned processing units,”

Generating linear regression rules from neural networks using local least squares approximation,”

Introduction to Data Mining.

Machine learning approaches to estimating software development effort,”

Management Handbook for the Estimation of Computer Programming Costs. System Developer Corp.,

Mining software repositories for comprehensible software fault prediction models,”

Multilayer feedforward networks are universal approximators,”

Neural networks for pattern recognition.

Optimization of analogy weights by genetic algorithm for software effort estimation,”

Pruned neural networks for regression,”

Recursive neural network rule extraction for data with mixed attributes,”

Search-based class discretization,”

Software Engineering Economics.

Software engineering metrics and models.

Software function, source lines of code, and development effort prediction: A software science validation,”

Software productivity and effort prediction with ordinal regression,”

The application of neural network based methods to the extraction of knowledge from accounting reports,”

The Elements of Statistical Learning, Data Mining, Inference, and Prediction.

Using neural network rule extraction and decision tables for credit-risk evaluation,”

Using public domain metrics to estimate software development effort,”

Software effort prediction using regression rule extraction from neural networks.

https://lirias.kuleuven.be/bitstream/123456789/272312/2/05671431.pdf

Software effort prediction using regression rule extraction from neural networks.

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Research Papers in Economics