It is known that the world population is nearing eight billion people every day and that technology is becoming increasingly affordable to the average user or family. Furthermore, knowing that more than 15 percent of the population suffers from disabilities making their everyday lives more difficult. These challenges especially come to life when talking about software. With the knowledge that the mobile software market counts several billion users, it's safe to assume that several hundred million of those users suffer from disabilities, hindering their ability to use software. Software accessibility is a set of rules and guidelines for developers, that aims to increase the accessibility and usability of software to those users, but it suffers from the problem that developers lack the education on accessibility or types of disabilities in their users, causing software accessibility to be forgotten or left unimplemented. This thesis presents an analysis and a technical solution in form of a third party library, that is used to detect accessibility issues and report them to developers. The library is built in a way that developers can include another set of checks and tests in their application system, with minimal effort, which analyses user interface hierarchies in runtime and reports all of issues found in terms of accessibility. Custom written algorithms are used in such checks, which scan the hierarchy one layer at a time, printing out a detailed report of which issues have been found, with advice on how to correct them. The result of the thesis and the library at hand are such that a simple and easy-to-use solution to improve accessibility has been developed and published on a public repository, filling in a gap that has been present in the set of tools of the Android ecosystem, in its unique way, even though the Android platform has been present for more than ten years.