Abstract: A method is disclosed for the computer-assisted analysis of a software source code. According to at least one embodiment of the method, the software source code is analyzed in consideration of parameters comprising encoding rules and/or encoding metrics, wherein as the analysis result errors detected in the software source code are calculated. The errors detected are classified by way of associating them with at lest one error category from a plurality of error categories. To this end, a specification that can be output via a user interface is associated with each error category, which describes the errors of the respective error category. The error categories with which the detected errors are associated are then output via a user interface.

Abstract: A method and a system are disclosed for controlling a project for the provision of a product. In at least one embodiment, project data of the project is assigned to a product structure of the product and, depending on the project data which is assigned to the product structure, the control of the project takes place in an automated manner.

Abstract: A method and a device are disclosed for automated evaluation of the quality of a software source code, a quality target being predetermined for the quality of the source code. The current quality of the source code and the distance between the current quality of the source code and the predetermined quality target are determined for the quality of the source code. At least one embodiment of the invention permits high volumes of source code to be evaluated in an automated fashion with respect to their quality.

Abstract: An absorber for electromagnetic and acoustic waves comprising an absorber body containing mineral wool and particles of a conductive substance, in which the mineral wool is impregnated with a binder having the particles admixed therewith.