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A systematic literature review of machine learning techniques for software maintainability prediction
Context Software maintainability is one of the fundamental quality attributes of software
engineering. The accurate prediction of software maintainability is a significant challenge for …
engineering. The accurate prediction of software maintainability is a significant challenge for …
An update on effort estimation in agile software development: A systematic literature review
M Fernández-Diego, ER Méndez… - IEEE …, 2020 - ieeexplore.ieee.org
Software developers require effective effort estimation models to facilitate project planning.
Although Usman et al. systematically reviewed and synthesized the effort estimation models …
Although Usman et al. systematically reviewed and synthesized the effort estimation models …
A better measure of relative prediction accuracy for model selection and model estimation
C Tofallis - Journal of the Operational Research Society, 2015 - Taylor & Francis
Surveys show that the mean absolute percentage error (MAPE) is the most widely used
measure of prediction accuracy in businesses and organizations. It is, however, biased …
measure of prediction accuracy in businesses and organizations. It is, however, biased …
An empirical analysis of data preprocessing for machine learning-based software cost estimation
Context Due to the complex nature of software development process, traditional parametric
models and statistical methods often appear to be inadequate to model the increasingly …
models and statistical methods often appear to be inadequate to model the increasingly …
A deep learning model for estimating story points
Although there has been substantial research in software analytics for effort estimation in
traditional software projects, little work has been done for estimation in agile projects …
traditional software projects, little work has been done for estimation in agile projects …
GPT2SP: A transformer-based agile story point estimation approach
Story point estimation is a task to estimate the overall effort required to fully implement a
product backlog item. Various estimation approaches (eg, Planning Poker, Analogy, and …
product backlog item. Various estimation approaches (eg, Planning Poker, Analogy, and …
Why linked data is not enough for scientists
Scientific data represents a significant portion of the linked open data cloud and scientists
stand to benefit from the data fusion capability this will afford. Publishing linked data into the …
stand to benefit from the data fusion capability this will afford. Publishing linked data into the …
Mining software defects: Should we consider affected releases?
With the rise of the Mining Software Repositories (MSR) field, defect datasets extracted from
software repositories play a foundational role in many empirical studies related to software …
software repositories play a foundational role in many empirical studies related to software …
Metaheuristic algorithms in optimizing deep neural network model for software effort estimation
Effort estimation is the most critical activity for the success of overall solution delivery in
software engineering projects. In this context, the paper's main contributions to the literature …
software engineering projects. In this context, the paper's main contributions to the literature …
Finding Faster Configurations Using FLASH
Finding good configurations of a software system is often challenging since the number of
configuration options can be large. Software engineers often make poor choices about …
configuration options can be large. Software engineers often make poor choices about …