Abstract: Various embodiments include a computer-implemented method for task-oriented system definition, implementation and operation, the method comprising: importing representative model data including predefined model parameters by an interface component; importing one or more requirements for the model parameters by the interface component; executing measurement and importing measurement results data; aggregating and evaluating imported data, wherein the evaluation is performed depending on the requirements and measurement results data; storing imported data to a computer-readable storage component; operationalizing by adding measurements to the model requirements; and generating a task based on an algorithm performing a functional analysis of the model requirements.

Abstract: A support system includes a processor, wherein the support system is configured to process measured quality data representing at least one quality and/or performance indicator for controlling a software development and operations system, further including: a configuration module used to set up connectors to at least one history data source of the DevOps system and/or to at least one enterprise resource planning data source, an input interface module configured to import a data model including predefined model parameters with predefined initial values, a modeler module including the data model, a recommender module configured to analyze current evolution degree depending on assigned values, to estimate a quality and/or performance trend derived from the evolution degree and from the aggregated data from the at least one history data source and an output interface to output at least one message containing recommendation for at least one action to be taken.

Abstract: Various embodiments of the teachings herein include a computer-implemented method for automatic derivation of attributes of software engineering artifacts, which attributes arise from technical boundary condition of products or services, the method comprising: deducing technical requirements based on classifications of the technical boundary conditions; and mapping the deduced technical requirements of the artifacts to engineering disciplines and concerns.

Abstract: Various embodiments include a computer-implemented method for task-oriented system definition, implementation and operation, the method comprising: importing representative model data including predefined model parameters by an interface component; importing one or more requirements for the model parameters by the interface component; executing measurement and importing measurement results data; aggregating and evaluating imported data, wherein the evaluation is performed depending on the requirements and measurement results data; storing imported data to a computer-readable storage component; operationalizing by adding measurements to the model requirements; and generating a task based on an algorithm performing a functional analysis of the model requirements.

Abstract: Various embodiments of the teachings herein include a computer-implemented method for automatic derivation of attributes of software engineering artifacts, which attributes arise from technical boundary condition of products or services, the method comprising: deducing technical requirements based on classifications of the technical boundary conditions; and mapping the deduced technical requirements of the artifacts to engineering disciplines and concerns.

Abstract: A method performed by a system development tool is provided. The method includes obtaining a system development model of a system under development, the system development model including a target model of the system and a task model, wherein the target model represents at least a set of target characteristics of the system, and wherein the task model represents a set of tasks. The task model associates at least one task characteristic to each task of the task model. The method also includes evaluating the system development model based on a quality model, the quality model providing a set of quantitative criteria for evaluating the system development model; as well as indicating an evaluation result.

Abstract: A method performed by a system development tool is provided. The method includes obtaining a system development model of a system under development, the system development model including a target model of the system and a task model, wherein the target model represents at least a set of target characteristics of the system, and wherein the task model represents a set of tasks. The task model associates at least one task characteristic to each task of the task model. The method also includes evaluating the system development model based on a quality model, the quality model providing a set of quantitative criteria for evaluating the system development model; as well as indicating an evaluation result.

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: The present invention refers to a method and system for automatizing optimization of reuse of artifacts in industrial engineering, wherein the reuse of artifacts is optimized by assessing of artifacts based on classifying of artifacts by assessing of a top-down artifact and assessing of a bottom-up artifact. Assessing of a bottom-up artifact includes classifying of the bottom-up artifact based on a classification scheme for bottom-up artifacts using two dimensions for classification.

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.