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Safety-critical software systems have traditionally been found in the aerospace-, nuclear- andmedical domains. As technology advances and software complexity increases, such systemscan be found in more and more applications, e.g. self driving cars. These systems need to meetexceptionally strict standards in terms of dependability. Proving compliance is a challenge forthe industry. The regulatory bodies often require a certain amount of testing to be performed butdo not require evidence of a given failure rate (which for software is hard to deal with comparedto hardware). This Licentiate thesis discusses how to quantify test results and analyses whatconclusions can be drawn from a given test effort, in terms of remaining faults in the software.