Machine learning for software engineering: A tertiary study

Z Kotti, R Galanopoulou, D Spinellis - ACM Computing Surveys, 2023 - dl.acm.org
Machine learning (ML) techniques increase the effectiveness of software engineering (SE)
lifecycle activities. We systematically collected, quality-assessed, summarized, and …

Toward improving the efficiency of software development effort estimation via clustering analysis

V Van Hai, HLTK Nhung, Z Prokopova, R Silhavy… - IEEE …, 2022 - ieeexplore.ieee.org
Introduction: The precise estimation of software effort is a significant difficulty that project
managers encounter during software development. Inaccurate forecasting leads to either …

Parametric software effort estimation based on optimizing correction factors and multiple linear regression

HLTK Nhung, V Van Hai, R Silhavy, Z Prokopova… - Ieee …, 2021 - ieeexplore.ieee.org
Context: Effort estimation is one of the essential phases that must be accurately predicted in
the early stage of software project development. Currently, solving problems that affect the …

A random forest model for early-stage software effort estimation for the SEERA dataset

EI Mustafa, R Osman - Information and Software Technology, 2024 - Elsevier
Context Publicly available software cost estimation datasets are outdated and may not
represent current industrial environments. Thus most research has concentrated on the …

Effective Software Effort Estimation enabling Digital Transformation

A Jadhav, SK Shandilya, I Izonin, M Gregus - IEEE Access, 2023 - ieeexplore.ieee.org
Software effort estimation is a necessary component of software development projects that
belong to industrial software systems and digital transformation initiatives. Digital …

Echo: An approach to enhance use case quality exploiting large language models

G De Vito, F Palomba, C Gravino… - 2023 49th Euromicro …, 2023 - ieeexplore.ieee.org
UML use cases are commonly used in software engineering to specify the functional
requirements of a system since they are an effective tool for interacting with stakeholders …

Propose-specific information related to prediction level at X and mean magnitude of relative error: A case study of software effort estimation

H Huynh Thai, P Silhavy, M Fajkus, Z Prokopova… - Mathematics, 2022 - mdpi.com
The prediction level at x (PRED (x)) and mean magnitude of relative error (MMRE) are
measured based on the magnitude of relative error between real and predicted values. They …

Using Machine Learning and Simplified Functional Measures to Estimate Software Development Effort

L Lavazza, A Locoro, R Meli - IEEE Access, 2024 - ieeexplore.ieee.org
Functional size measures are often used as the basis for estimating development effort,
because they are available in the early stages of software development. Several simplified …

On the value of project productivity for early effort estimation

M Azzeh, AB Nassif, Y Elsheikh, L Angelis - Science of Computer …, 2022 - Elsevier
In general, estimating software effort using a Use Case Point (UCP) size requires the use of
productivity as a second prediction factor. However, there are three drawbacks to this …

An empirical study on software test effort estimation for defense projects

E Cibir, TE Ayyildiz - IEEE Access, 2022 - ieeexplore.ieee.org
Effort estimation of software testing plays a vital role in the effective completion of testing. In
particular, software test effort estimation in defense projects is not an easy and simple …