A systematic literature review of machine learning techniques for software maintainability prediction

H Alsolai, M Roper - Information and Software Technology, 2020 - Elsevier
Context Software maintainability is one of the fundamental quality attributes of software
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 …

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 …

An empirical analysis of data preprocessing for machine learning-based software cost estimation

J Huang, YF Li, M **e - Information and software Technology, 2015 - Elsevier
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 …

A deep learning model for estimating story points

M Choetkiertikul, HK Dam, T Tran… - IEEE Transactions …, 2018 - ieeexplore.ieee.org
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 …

GPT2SP: A transformer-based agile story point estimation approach

M Fu, C Tantithamthavorn - IEEE Transactions on Software …, 2022 - ieeexplore.ieee.org
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 …

Why linked data is not enough for scientists

S Bechhofer, I Buchan, D De Roure, P Missier… - Future Generation …, 2013 - Elsevier
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 …

Mining software defects: Should we consider affected releases?

S Yatish, J Jiarpakdee, P Thongtanunam… - 2019 IEEE/ACM 41st …, 2019 - ieeexplore.ieee.org
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 …

Metaheuristic algorithms in optimizing deep neural network model for software effort estimation

MS Khan, F Jabeen, S Ghouzali, Z Rehman… - Ieee …, 2021 - ieeexplore.ieee.org
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 …

Finding Faster Configurations Using FLASH

V Nair, Z Yu, T Menzies, N Siegmund… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
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 …