Context: One of the most important steps of the Lean Startup methodology is the definition of Minimum Viable Product (MVP), needed to start the learning process by integrating the early adopters' feedbacks as soon as possible. Objective: This study aims at identifying the common definitions of MVP proposed and the key factors identified to help entrepreneurs efficiently define their MVP, reducing errors due to unconsidered unknown factors. Method: We identified the MVP definitions and key factors by means of a systematic mapping study, defining the research questions and the protocol to be used. We selected the bibliographic sources, the keywords, and the selection criteria for searching the relevant papers. Results: We found 97 articles and, through inclusion and exclusion criteria, removed 75 articles, which reduced the total to 22 at the end of the process. The results are a classification schema for characterizing the definition of Minimum Viable Product in Lean Startups and a set of common key factors identified in the MVP definitions. Conclusion: The identified key factors are related to technical characteristics of the product as well as market and customer aspects. We found a positive improvement of the state of the art of MVP and the definition of Minimum.

The cloud continuum concept has drawn increasing attention from practitioners, academics, and funding agencies and been adopted progressively. However, the concept remains mired in various definitions with different studies providing contrasting descriptions. Therefore, to understand the concept of cloud continuum and to provide its definition, in this work we conduct a systematic mapping study of the literature investigating the different definitions, how they evolved, and where does the cloud continue. The main outcome of this work is a complete definition that merges all the common aspects of cloud continuum, which enables practitioners and researchers to better understand what cloud continuum is.