A multivocal literature review of decentralized finance: Current knowledge and future research avenues

V Gramlich, T Guggenberger, M Principato… - Electronic Markets, 2023 - Springer
While decentralized finance (DeFi) has the potential to emulate and, indeed, outperform
existing financial systems, it remains a complex phenomenon yet to be extensively …

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 …

The pains and gains of microservices: A systematic grey literature review

J Soldani, DA Tamburri, WJ Van Den Heuvel - Journal of Systems and …, 2018 - Elsevier
The design, development, and operation of microservices are picking up more and more
momentum in the IT industry. At the same time, academic work on the topic is at an early …

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 …

[HTML][HTML] The pipeline for the continuous development of artificial intelligence models—Current state of research and practice

M Steidl, M Felderer, R Ramler - Journal of Systems and Software, 2023 - Elsevier
Companies struggle to continuously develop and deploy Artificial Intelligence (AI) models to
complex production systems due to AI characteristics while assuring quality. To ease the …

A joint study of the challenges, opportunities, and roadmap of mlops and aiops: A systematic survey

J Diaz-De-Arcaya, AI Torre-Bastida, G Zárate… - ACM Computing …, 2023 - dl.acm.org
Data science projects represent a greater challenge than software engineering for
organizations pursuing their adoption. The diverse stakeholders involved emphasize the …

[HTML][HTML] Cybercrime threat intelligence: A systematic multi-vocal literature review

G Cascavilla, DA Tamburri, WJ Van Den Heuvel - Computers & Security, 2021 - Elsevier
Significant cybersecurity and threat intelligence analysts agree that online criminal activity is
increasing exponentially. To offer an overview of the techniques and indicators to perform …

A software engineering perspective on engineering machine learning systems: State of the art and challenges

G Giray - Journal of Systems and Software, 2021 - Elsevier
Context: Advancements in machine learning (ML) lead to a shift from the traditional view of
software development, where algorithms are hard-coded by humans, to ML systems …

Large-scale machine learning systems in real-world industrial settings: A review of challenges and solutions

LE Lwakatare, A Raj, I Crnkovic, J Bosch… - Information and software …, 2020 - Elsevier
Background: Develo** and maintaining large scale machine learning (ML) based
software systems in an industrial setting is challenging. There are no well-established …

DevSecOps: a multivocal literature review

H Myrbakken, R Colomo-Palacios - … , Palma de Mallorca, Spain, October 4 …, 2017 - Springer
Involving security in DevOps has been a challenge because traditional security methods
have been unable to keep up with DevOps' agility and speed. DevSecOps is the movement …