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
BA Kitchenham, E Mendes… - IEEE Transactions on …, 2007 - ieeexplore.ieee.org
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
P Pospieszny, B Czarnacka-Chrobot… - Journal of Systems and …, 2018 - Elsevier
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
T Foss, E Stensrud, B Kitchenham… - IEEE Transactions on …, 2003 - ieeexplore.ieee.org
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
I Myrtveit, E Stensrud… - IEEE Transactions on …, 2005 - ieeexplore.ieee.org
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
C Van Koten, AR Gray - Information and software technology, 2006 - Elsevier
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 …