Abstract
This work has as objective to determine which are the functional and non-functional software requirements for a package, programmed in Python for the stylometric analysis of lyric works through prosodic-metric study and genetic algorithms, that satisfy criteria of validation of the standard IEEE Std. 830-1998 to a greater extent. In fact, this research focuses on the software requirements that are pertinent in modelling of corpora for the implementation of genetic algorithms in textual analysis. Therefore, the methodology of the research will have a mixed approach and a correlational design that will have a qualitative phase and a quantitative one. Additionally, it is to point out that the population of the study is three proposals of software requirements that were developed by the method Scrum. Also, it is to say that the rate of fulfilment of the criteria of validation that were presented in the standard IEEE Std. 830-1998 of each proposal will be measured with the correlation coefficient of Pearson. In this study, it was determined that the data of the proposal n° 3 have a correlation coefficient equal to 1, the data of the proposal n° 3 have a correlation coefficient equal to 0,964 and the data of the proposal n° 1 have a correlation coefficient equal to 0,784. So, it is possible to conclude that the proposal n° 3 satisfy criteria of validation of the standard IEEE Std. 830-1998 to a greater extent, in comparison with the other two proposals.
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