Abstract — Failures of software are mainly due to the faulty project management practices, which includes effort estimation. Continuous changing scenarios of software development technology makes effort estimation more challenging. Ability of ANN(Artificial Neural Network) to model a complex set of relationship between the dependent variable (effort) and the independent variables (cost drivers) makes it as a potential tool for estimation. This paper presents a performance analysis of different ANNs in effort estimation. We have simulated four types of ANN created by MATLAB10 NNTool using NASA dataset
Software development effort estimation (SDEE) is one of the main tasks in software project managemen...
Software estimation involves meeting a huge number of different requirements, such as resource alloc...
AbstractSoftware Effort Estimation models are hot topic of study over 3 decades. Several models have...
Accurate software effort estimation is crucial for software consulting organizations to stay competi...
Abstract — Software development effort prediction is one of the most key activities in software indu...
In project management, effective cost estimation is one of the most crucial activities to efficientl...
Software effort estimation is used to estimate how many resources and how many hours are required to...
Machine learning (ML) techniques have been widely investigated for building prediction models, able ...
Abstract-- In this research, it is concerned with constructing software effort estimation model base...
Accurate software cost estimates are critical to both developers and customers. They can be used for...
Software cost estimation is one of the most challenging tasks in software engineering. Over the past...
The work is about using Simulated Annealing Algorithm for the effort estimation model parameter opti...
The software project effort estimation is an important aspect of software engineering practices. The...
This paper addresses the issue of Software Cost Estimation (SCE) providing an alternative approach t...
This paper addresses the issue of Software Cost Estimation (SCE) providing an alternative approach t...
Software development effort estimation (SDEE) is one of the main tasks in software project managemen...
Software estimation involves meeting a huge number of different requirements, such as resource alloc...
AbstractSoftware Effort Estimation models are hot topic of study over 3 decades. Several models have...
Accurate software effort estimation is crucial for software consulting organizations to stay competi...
Abstract — Software development effort prediction is one of the most key activities in software indu...
In project management, effective cost estimation is one of the most crucial activities to efficientl...
Software effort estimation is used to estimate how many resources and how many hours are required to...
Machine learning (ML) techniques have been widely investigated for building prediction models, able ...
Abstract-- In this research, it is concerned with constructing software effort estimation model base...
Accurate software cost estimates are critical to both developers and customers. They can be used for...
Software cost estimation is one of the most challenging tasks in software engineering. Over the past...
The work is about using Simulated Annealing Algorithm for the effort estimation model parameter opti...
The software project effort estimation is an important aspect of software engineering practices. The...
This paper addresses the issue of Software Cost Estimation (SCE) providing an alternative approach t...
This paper addresses the issue of Software Cost Estimation (SCE) providing an alternative approach t...
Software development effort estimation (SDEE) is one of the main tasks in software project managemen...
Software estimation involves meeting a huge number of different requirements, such as resource alloc...
AbstractSoftware Effort Estimation models are hot topic of study over 3 decades. Several models have...