Method and apparatus for detecting outliers in a set of runs of software applications

A method for detecting outlier behavior in a set of executions of one or several applications on an information processing device, implemented by a computer and comprising steps oftriggering (S1) said set of executions in collaboration with a profiling tool in order to collect, for each execution, at least one time series of measurement points assigning, for each measurement point, a value to a measured parameter;automatically formatting (S2) the time series obtained for said set, by adjusting, for each time series, its length, its values, and its number of measurement points;calculating (S3) a metric between two time series among the time series collected for said set of executions;detecting (S4) an outlier based on said distance.