[HTML][HTML] SQL and NoSQL database software architecture performance analysis and assessments—a systematic literature review

W Khan, T Kumar, C Zhang, K Raj, AM Roy… - Big Data and Cognitive …, 2023 - mdpi.com
The competent software architecture plays a crucial role in the difficult task of big data
processing for SQL and NoSQL databases. SQL databases were created to organize data …

Guidelines for developing a systematic literature review for studies related to climate change adaptation

HAM Shaffril, AA Samah, SF Samsuddin - Environmental Science and …, 2021 - Springer
This study proposes a set of GuFSyADD guidelines on steps for developing suggestions that
enhance of its rigor in systematic literature review (SLR) for studies related to climate …

A survey on machine learning techniques for source code analysis

T Sharma, M Kechagia, S Georgiou, R Tiwari… - arXiv preprint arXiv …, 2021 - arxiv.org
The advancements in machine learning techniques have encouraged researchers to apply
these techniques to a myriad of software engineering tasks that use source code analysis …

[HTML][HTML] Security testing of web applications: A systematic mapping of the literature

M Aydos, Ç Aldan, E Coşkun, A Soydan - Journal of King Saud University …, 2022 - Elsevier
Context Web application security is a main component of any web-based business. Web
applications are subject to attacks from different locations at various levels of scale and …

On the documentation of refactoring types

EA AlOmar, J Liu, K Addo, MW Mkaouer… - Automated Software …, 2022 - Springer
Commit messages are the atomic level of software documentation. They provide a natural
language description of the code change and its purpose. Messages are critical for software …

[HTML][HTML] Software project management using machine learning technique—A Review

MN Mahdi, MH Mohamed Zabil, AR Ahmad, R Ismail… - Applied Sciences, 2021 - mdpi.com
Project management planning and assessment are of great significance in project
performance activities. Without a realistic and logical plan, it isn't easy to handle project …

[HTML][HTML] A multiple criteria decision analysis based approach to remove uncertainty in SMP models

G Yenduri, TR Gadekallu - Scientific Reports, 2022 - nature.com
Software has to be updated frequently to match the customer needs. If software
maintainability is not given priority, it affects the software development life cycle and …

[HTML][HTML] A survey on machine learning techniques applied to source code

T Sharma, M Kechagia, S Georgiou, R Tiwari… - Journal of Systems and …, 2024 - Elsevier
The advancements in machine learning techniques have encouraged researchers to apply
these techniques to a myriad of software engineering tasks that use source code analysis …

Examining deep learning's capability to spot code smells: a systematic literature review

R Malhotra, B Jain, M Kessentini - Cluster Computing, 2023 - Springer
Code smells violate software development principles that make the software more prone to
errors and changes. Researchers have developed code smell detectors using manual and …

[HTML][HTML] Machine learning-based software defect prediction for mobile applications: A systematic literature review

M Jorayeva, A Akbulut, C Catal, A Mishra - Sensors, 2022 - mdpi.com
Software defect prediction studies aim to predict defect-prone components before the testing
stage of the software development process. The main benefit of these prediction models is …