Advances in artificial intelligence (AI) technology have led to significant improvements in image generation in terms of speed and quality. However, it has generated concern and uncertainty among artists, who fear being replaced by AI in their field of work. In this context, the objective was to analyse Tweets defining the impact of artificial intelligence (AI) on the adoption of imaging technologies. For this purpose, the collection, creation and evaluation of a convolutional neural network that classifies the data according to a sentiment analysis between positive and negative was carried out. Finally, the research determined the loss rate of 63%, the accuracy with 61% and the ROC curve around 64% of a convolutional neural network for predicting Tweets.

Microservices are conceived as an architectural style focused on developing applications through a set of services, independent, scalable, collaborative, evolutionary, capable of adapting to complex ecosystems. On the other hand, DevOps is a paradigm that uses a set of principles focused on the continuous delivery and integration of software, this implies a new culture to develop and deploy software in highly collaborative and agile contexts aimed at reducing the gap between development and operations. It is in this context that the present work proposes an Architecture based on Microservices and DevOps for continuous software engineering and applies the proposal through a case study with the participation of development teams formed by the students of the Workshop courses of Software and Systems Construction of the academic semesters: 2018-1, 2018-2, 2019-1, 2019-2 and led by the author...

Microservices are conceived as an architectural style focused on developing applications through a set of services, independent, scalable, collaborative, evolutionary, capable of adapting to complex ecosystems. On the other hand, DevOps is a paradigm that uses a set of principles focused on the continuous delivery and integration of software, this implies a new culture to develop and deploy software in highly collaborative and agile contexts aimed at reducing the gap between development and operations. It is in this context that the present work proposes an Architecture based on Microservices and DevOps for continuous software engineering and applies the proposal through a case study with the participation of development teams formed by the students of the Workshop courses of Software and Systems Construction of the academic semesters: 2018-1, 2018-2, 2019-1, 2019-2 and led by the author...