The term Cross Browser Incompatibilities (XBI) stands for compatibility issues which can be observed while rendering a web application in different browsers, such as: Microsoft Edge, Mozilla Firefox, Google Chrome, among others. In order to detect Cross-Browser Incompatibilities-XBIs, Web developers rely on manual inspection of every web page of their applications, rendering them in various configuration environments (considering multiple OS platforms and browser versions). These manual inspections are error-prone and increase the cost of the Web engineering process. This paper has the goal of identifying techniques for automatic XBI detection, conducting a Systematic Literature Review (SLR) with focus on studies which report XBI automatic detection strategies. The selected studies were compared according to the different technological solutions they implemented and were used to elaborate a XBI detection framework which can organize and classify the state-of-the-art techniques and may be used to guide future research activities about this topic. Lab 2. These tools automatically generate screenshots of a web application as rendered by multiple browsers. However, even though they make the process of identifying XBIs easier, developers still have to rely on manual inspection of the screenshots. According to Choudhary et al., XBIs can be classified in two groups [1]: Layout Issues: caused by differences in how web browsers initially render a webpage; this type of XBI is immediately visible to the user, appearing as different positioning, size, visibility or general appearance of elements of a webpage; and