Abstract: The present invention relates to a system and corresponding computer-implemented method for identifying exceptions in behavior of a computer system or of an application executed on the computer system. The system comprises: a component for building at least one pattern from monitored signals over a specific time period whereby the pattern is an exception identified via signal constellation out of system-side recorded resource usage data and measured energy consumption data of the entire computer system, a component for identifying an exception by comparing the at least one pattern with one or more afore built patterns each labelled with a pre-defined exception classification, a storage component for storing at least one compared, unmatched pattern for subsequent exception identification, wherein the unmatched pattern is labelled with any pre-defined exception classification via user interaction, an output component for outputting an alarm message onto an output device if any compared pattern matches.

Abstract: A method for generating a behavior prediction for a device by way of an electronic computing device is provided, including the following steps: providing an initial model of the device by way of the electronic computing device; recording at least one behavior parameter currently characterizing the device by way of a recording device of the electronic computing device; adapting the initial model, on the basis of the recorded behavior parameter, so as to form a behavioral model of the device by way of the electronic computing device; recording a simulation parameter for the device by way of a further recording device of the electronic computing device; assessing the behavioral model on the basis of the simulation parameter by way of the electronic computing device; and generating the behavior prediction on the basis of the evaluation by way of the electronic computing device. A computer program product, to a computer-readable storage medium and to an electronic computing device is also provided.

Abstract: Provided is a computer-implemented method for determining at least one quality attribute for at least one defect of interest, including the steps: a. providing an input data set including the at least one defect of interest; b. determining the at least one quality attribute for the at least one defect of interest using a classification algorithm based on the input data set; and c. providing the determined at least one quality attribute and/or additional output information as output. Further, a computing unit and a computer program product are provided.

Abstract: Provided is a computer-implemented method for determining at least one quality attribute for at least one defect of interest, including the steps: a. providing an input data set including the at least one defect of interest; b. determining the at least one quality attribute for the at least one defect of interest using a classification algorithm based on the input data set; and c. providing the determined at least one quality attribute and/or additional output information as output. Further, a computing unit and a computer program product are provided.

Abstract: In a method for determining a quality assessment of a software code, the coverage is concomitantly calculated when determining the assessment. In order to increase the coverage, additional measurement results and assessments may be taken into account. Following changes to the software base, it is determined which of the additional measurements and assessment results should be renewed in order to provide or ensure the defined coverage.

Abstract: In a method for determining a quality assessment of a software code, the coverage is concomitantly calculated when determining the assessment. In order to increase the coverage, additional measurement results and assessments may be taken into account. Following changes to the software base, it is determined which of the additional measurements and assessment results should be renewed in order to provide or ensure the defined coverage.