Software Engineering and Data Science

<p>This reprint focuses on data-driven software solutions and their impact on research and development at the academic industry business and government levels to exploit the hidden knowledge and big data that can be offered to cities and citizens in the future. Data-driven software solutions are different from traditional software development projects as the focus of the main development core is on managing the data (e.g. data store and data quality) and designing behavioral models with the aid of artificial intelligence and machine learning techniques. To this end new life cycles algorithms methods processes and tools are required. This reprint is centered on the recent trends and advancements in the field of engineering data-intensive software solutions to address the challenges in developing testing and maintaining such data-driven systems with a focus on the application of data-driven solutions to real-life problems and techniques and algorithms addressing the different challenges of data-driven software engineering.</p>