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Context Publicly available software cost estimation datasets are outdated and may not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 leveraging machine learning for 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 …

Incorporating statistical and machine learning techniques into the optimization of correction factors for software development effort estimation

HLTK Nhung, V Van Hai, P Silhavy… - Journal of Software …, 2024 - Wiley Online Library
Accurate effort estimation is necessary for efficient management of software development
projects, as it relates to human resource management. Ensemble methods, which employ …

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 …

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 …

Estimasi Pengembangan Perangkat Lunak Dengan Use Case Size Point

P Jayadi, MNL Azis, K Sussolaikah - Bulletin of Information …, 2022 - journal.fkpt.org
In software development activities one of the stages that need to be known by the project
manager and the client is the estimated effort. The estimation activity is used as a reference …