Recent advances in the application of deep learning for fault diagnosis of rotating machinery using vibration signals

BA Tama, M Vania, S Lee, S Lim - Artificial Intelligence Review, 2023 - Springer
Vibration measurement and monitoring are essential in a wide variety of applications.
Vibration measurements are critical for diagnosing industrial machinery malfunctions …

Natural language processing for requirements engineering: A systematic map** study

L Zhao, W Alhoshan, A Ferrari, KJ Letsholo… - ACM Computing …, 2021 - dl.acm.org
Natural Language Processing for Requirements Engineering (NLP4RE) is an area of
research and development that seeks to apply natural language processing (NLP) …

[HTML][HTML] On the use of deep learning in software defect prediction

G Giray, KE Bennin, Ö Köksal, Ö Babur… - Journal of Systems and …, 2023 - Elsevier
Context: Automated software defect prediction (SDP) methods are increasingly applied,
often with the use of machine learning (ML) techniques. Yet, the existing ML-based …

Towards mlops: A framework and maturity model

MM John, HH Olsson, J Bosch - 2021 47th Euromicro …, 2021 - ieeexplore.ieee.org
The adoption of continuous software engineering practices such as DevOps (Development
and Operations) in business operations has contributed to significantly shorter software …

SEGRESS: Software engineering guidelines for reporting secondary studies

B Kitchenham, L Madeyski… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Context: Several tertiary studies have criticized the reporting of software engineering
secondary studies. Objective: Our objective is to identify guidelines for reporting software …

Guidelines for including grey literature and conducting multivocal literature reviews in software engineering

V Garousi, M Felderer, MV Mäntylä - Information and software technology, 2019 - Elsevier
Abstract Context A Multivocal Literature Review (MLR) is a form of a Systematic Literature
Review (SLR) which includes the grey literature (eg, blog posts, videos and white papers) in …

Applications of deep learning for phishing detection: a systematic literature review

C Catal, G Giray, B Tekinerdogan, S Kumar… - … and Information Systems, 2022 - Springer
Phishing attacks aim to steal confidential information using sophisticated methods,
techniques, and tools such as phishing through content injection, social engineering, online …

Predicting academic performance: a systematic literature review

A Hellas, P Ihantola, A Petersen, VV Ajanovski… - … companion of the 23rd …, 2018 - dl.acm.org
The ability to predict student performance in a course or program creates opportunities to
improve educational outcomes. With effective performance prediction approaches …

A systematic survey of just-in-time software defect prediction

Y Zhao, K Damevski, H Chen - ACM Computing Surveys, 2023 - dl.acm.org
Recent years have experienced sustained focus in research on software defect prediction
that aims to predict the likelihood of software defects. Moreover, with the increased interest …

Machine learning techniques for credit risk evaluation: a systematic literature review

S Bhatore, L Mohan, YR Reddy - Journal of Banking and Financial …, 2020 - Springer
Credit risk is the risk of financial loss when a borrower fails to meet the financial commitment.
While there are many factors that constitute credit risk, due diligence while giving loan (credit …