Systematic literature review of machine learning based software development effort estimation models
CONTEXT: Software development effort estimation (SDEE) is the process of predicting the
effort required to develop a software system. In order to improve estimation accuracy, many …
effort required to develop a software system. In order to improve estimation accuracy, many …
Cross versus within-company cost estimation studies: A systematic review
The objective of this paper is to determine under what circumstances individual
organizations would be able to rely on cross-company-based estimation models. We …
organizations would be able to rely on cross-company-based estimation models. We …
An effective approach for software project effort and duration estimation with machine learning algorithms
During the last two decades, there has been substantial research performed in the field of
software estimation using machine learning algorithms that aimed to tackle deficiencies of …
software estimation using machine learning algorithms that aimed to tackle deficiencies of …
[HTML][HTML] Guidelines for the search strategy to update systematic literature reviews in software engineering
Abstract Context Systematic Literature Reviews (SLRs) have been adopted within Software
Engineering (SE) for more than a decade to provide meaningful summaries of evidence on …
Engineering (SE) for more than a decade to provide meaningful summaries of evidence on …
A simulation study of the model evaluation criterion MMRE
The mean magnitude of relative error, MMRE, is probably the most widely used evaluation
criterion for assessing the performance of competing software prediction models. One …
criterion for assessing the performance of competing software prediction models. One …
Ranking and clustering software cost estimation models through a multiple comparisons algorithm
Software Cost Estimation can be described as the process of predicting the most realistic
effort required to complete a software project. Due to the strong relationship of accurate effort …
effort required to complete a software project. Due to the strong relationship of accurate effort …
Data mining techniques for software effort estimation: a comparative study
A predictive model is required to be accurate and comprehensible in order to inspire
confidence in a business setting. Both aspects have been assessed in a software effort …
confidence in a business setting. Both aspects have been assessed in a software effort …
Reliability and validity in comparative studies of software prediction models
Empirical studies on software prediction models do not converge with respect to the
question" which prediction model is best?" The reason for this lack of convergence is poorly …
question" which prediction model is best?" The reason for this lack of convergence is poorly …
Analyzing data sets with missing data: An empirical evaluation of imputation methods and likelihood-based methods
Missing data are often encountered in data sets used to construct software effort prediction
models. Thus far, the common practice has been to ignore observations with missing data …
models. Thus far, the common practice has been to ignore observations with missing data …
An application of Bayesian network for predicting object-oriented software maintainability
As the number of object-oriented software systems increases, it becomes more important for
organizations to maintain those systems effectively. However, currently only a small number …
organizations to maintain those systems effectively. However, currently only a small number …