Reviews
In this section, secondary works (surveys) related to software engineering for artificial intelligence are listed. Surveys are an extremely powerful tool as they organize, clean, summarize the state-of-the-art knowledge in a field or subfield, and as such, they play a pivotal role in boosting the impact, dissemination, and adoption of scientific findings. In a way, surveys do within the boundaries of the scientific literature what this portal attempts to do with one foot in the scientific realm and the other foot on the Web and the modern digital technologies. Please feel free to recommend new publications through the contact page or by email.
Machine Learning Testing: Survey, Landscapes and
Horizons
Authors (Year): Zhang JM, Harman M, Ma L, Liu Y. (2020)
Mentioned in Software engineering for artificial intelligence and machine learning software: A systematic literature review
A systematic literature review on intelligent user interfaces: Preliminary results.
Authors (Year): Gonçalves TG, De Oliveira KM, Grislin-Le Strugeon E, Kolski C, Travassos GH (2019)
Mentioned in Software engineering for artificial intelligence and machine learning software: A systematic literature review
Studying Software Engineering Patterns for Designing Machine Learning Systems
Authors (Year): Washizaki H, Uchida H, Khomh F, Guéhéneuc YG (2019)
Mentioned in Software engineering for artificial intelligence and machine learning software: A systematic literature review
Social impacts of ethical artificial intelligence and autonomous system design
Authors (Year): Hutchins N, Kirkendoll Z, Hook L. (2017)
Mentioned in Software engineering for artificial intelligence and machine learning software: A systematic literature review
More reviews will be added soon…
Thank you for your understanding.
More reviews will be added soon…
Thank you for your understanding.