An empirical study on software engineering and software startups: Findings from cases in an innovation ecosystem

Abstract

Context:Software startups are increasingly seen as opportunities in a varieties of areas; from simple applications, as personal controls, to complex solutions, involving artificial intelligence or using big data. The process of developing these solutions happens quickly and in abbreviated form. Thus, software engineering should be adapted to better understand this world of software startups in a way to assist them in their customer discovery challenges and in the search for scalable business models. Main Goal: Understand the factors that positively and negatively influence the software development of software startups and present solutions found in an empirical study on startups located in an innovation ecosystem Methodology: We conducted interviews and observations as data collection techniques in eight software startups located at a Tech Park.