Big data and similarity-based software reliability assessment: The technique and applied tools

The concept of Big Data of Software Reliability (BDSWR) is discussed. According with publication overview it's concluded that BDSWR are not systematically analyzed and used for the reliability assessment of the software systems (SWS). It restricts the potential opportunities of the increase of the SWS reliability assessment accuracy. We offer to use big experimental data about the actual reliability of different SWS which are similar to assessed system. The approach is implemented by way of: 1) the search of BDSWR of the earlier developed similar systems; 2) data collection about of reliability indices of similar systems; 3) use of similar systems indices for reliability assessment and prediction of the evaluated system. Within the approach we offer the technique of big data and similarity-based reliability assessment. The offered technique is based on four principles of the SWS similarity and includes nine stages. The input data of the technique are artefacts of the evaluated system. The output data of the technique are reliability assessments of the evaluated system. The software tools of implementation of the technique are described such as: the agent for search and assessment of data size; the agent of similarity assessment; the agent of reliability assessment; the agent of the verification efficiency improving.