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Software development effort estimation using fuzzy logic: a case study

• Cuauhtémoc López Martín, Jérôme Leboeuf Pasquier, Cornelio Yáñez-Márquez, Agustin Gutierrez-Tornes
• Sixth Mexican International Conference on…
• 2005

Software estimation has been identified as one of the three great challenges for half-century-old computer science. Developers should be able to achieve practices containing effort estimation based… (More)

Predictive accuracy comparison of fuzzy models for software development effort of small programs

• Cuauhtémoc López Martín, Cornelio Yáñez-Márquez, Agustin Gutierrez-Tornes
• Journal of Systems and Software
• 2008

Regression analysis to generate predictive equations for software development effort estimation has recently been complemented by analyses using less common methods such as fuzzy logic models. On the… (More)

Predictive accuracy comparison between neural networks and statistical regression for development effort of software projects

• Cuauhtémoc López Martín
• Appl. Soft Comput.
• 2015

Software development effort prediction of industrial projects applying a general regression neural network

• Cuauhtémoc López Martín, Claudia Isaza, Arturo Chavoya-Pena
• Empirical Software Engineering
• 2011

An important factor for planning, budgeting and bidding a software project is prediction of the development effort required to complete it. This prediction can be obtained from models related to… (More)

A fuzzy logic model for predicting the development effort of short scale programs based upon two independent variables

• Cuauhtémoc López Martín
• Appl. Soft Comput.
• 2011

Applying a Feedforward Neural Network for Predicting Software Development Effort of Short-Scale Projects

• Ivica Kalichanin-Balich, Cuauhtémoc López Martín
• 2010 Eighth ACIS International Conference on…
• 2010

The software project effort estimation is an important aspect of software engineering practices. The improvement in accuracy of estimations is a topic that still remains as one of the greatest… (More)

Applying a general regression neural network for predicting development effort of short-scale programs

• Cuauhtémoc López Martín
• Neural Computing and Applications
• 2010

Software development effort prediction is considered in several international software processes as the Capability Maturity Model-Integrated (CMMi), by ISO-15504 as well as by ISO/IEC 12207. In this… (More)

Applying Genetic Programming for Estimating Software Development Effort of Short-scale Projects

• Arturo Chavoya-Pena, Cuauhtémoc López Martín, Maria Elena Meda-Campaña
• 2011 Eighth International Conference on…
• 2011

Statistical regression and neural networks have frequently been used to estimate the development effort of both short and large software projects. In this paper, a genetic programming technique is… (More)

Metaheuristic optimization of multivariate adaptive regression splines for predicting the schedule of software projects

• Ángel Ferreira-Santiago, Cuauhtémoc López Martín, Cornelio Yáñez-Márquez
• Neural Computing and Applications
• 2015

A qualitative common perception of the software industry is that it finishes its projects late and over budget, whereas from a quantitative point of view, only 39 % of software projects are finished… (More)

Software Development Productivity Prediction of Small Programs Using Fuzzy Logic

• Cuauhtémoc López Martín, Ivica Kalichanin-Balich, Maria Elena Meda-Campaña, Arturo Chavoya-Pena
• 2010 Seventh International Conference on…
• 2010

In this paper, a fuzzy logic model was created from a data set of 140 small programs developed with practices based on Personal Software Process (PSP) and then this fuzzy model was applied for… (More)

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