Sap Ag

Sap Se

Wolfgang Pfeifer

Baré Said

Gerrit Simon Kazmaier

Frank Brunswig

Gunther Stuhec

Thomas Fiedler

Gregor Karl Frey

Reinhold Kautzleben

Jan Teichmann

Dirk Baumgaertel

Stefan Biedenstein

Heiko Witteborg

Ivo Vollrath

Radu-Florian Atanasiu

Wei Wei

Matthaeus Martynus

Anne Keller

Stefan Sigg

Buenyamin Eskiocak

Alexander Straubach

The disclosure generally describes computer-implemented methods, software, and systems, including methods for generating visualizations. On a client side, a user request is received for an inter-entity call visualization. Code analysis data is accessed. A visualization model is built. The visualization is shown. User inputs are received for interacting with the visualization. The visualization is updated based on the received user inputs. On a server side, a request is received for code analysis data. The requested data collected, including running analyzers for any available data. The requested data is sent. The code analysis data can be used for other purposes than visualizations.

Code analysis for cloud-based integrated development environments

In one embodiment, a computer-implemented method comprises receiving a first user instruction in a controller. The controller stores information about a first plurality of metaquarks and a first graph topology creating expression. The method further includes generating, by the controller, an original graph topology based on the first plurality of metaquarks and the first graph topology creating expression and the first user instruction, and generating first display information based on the original graph topology. The method may further comprise receiving a second user instruction in the controller; generating a second plurality of metaquarks and a second graph topology creating expression based on the second user instruction; generating, by the controller, a modified graph topology based on the first plurality of metaquarks, the second plurality of metaquarks, and the second graph topology creating expression; and generating second display information based on the modified graph topology.

Systems and methods for creating context sensitive graph topologies based on multidimensional context information

A method and system, the method may include generating a change notification in response to a change of at least one attribute associated with at least one node of a host business object (BO); and updating, based on the generated change notification, an analytic enablement object (AEO) class of business object having derived attributes based on the at least one attribute of the host BO and representing transformations of the at least one attribute.

Analytics enablement objects

Some aspects relate to systems to determine a first metamodel conforming to a first meta-metamodel supporting metamodel class inheritance at the first metamodel level, identify one or more segments of an aggregation-free tree of nodes of the first metamodel, identify a lowest-level node of one of the one or more segments, identify all higher-level nodes of the one of the one or more segments, and consolidate attributes of each of the identified nodes of the one of the one or more segments into a node of a second metamodel conforming to a second meta-metamodel.

Systems and methods for metamodel transformation

A system includes first metadata defining a business object object model, and second metadata defining a first object model to define a query on the business object object model. The first object model is an instance of a business object view metadata model, and the business object object model is an instance of a business object metadata model. In some aspects, a request is received to retrieve a result element associated with a query on a business object, the business object comprising an instance of a business object object model, and the business object is instantiated based on first metadata defining the business object object model. An instance of a business object view object model is instantiated based on second metadata defining the business object view object model, the instance of the business object view object model defining the query on the business object.

Common modeling of data access and provisioning for search, query, reporting and/or analytics

Some aspects relate to systems and methods to receive a first metamodel conforming to a first meta-metamodel associated with first modeling unit types. A second metamodel conforming to a second meta-metamodel is generated based on the first metamodel and on a mapping between the first meta-metamodel and the second meta-metamodel, where the second meta-metamodel is associated with second modeling unit types, and where the first modeling unit types are different from the second modeling unit types.

Systems and methods for accessing multiple portals using a unique business language semantic are provided. Business information and services are provided to customers during, for example, a supply chain management process. An accessible business environment is provided which includes a common repository. The common repository has access to one or more business portals. One can search the product listing in the common repository using a browser, e.g., a web-based browser. In response to a search, one may be provided with a product list indicating some available business portals having the specific product and/or service. The common repository entries are described by a predetermined semantical description.

Wiki biz web

Generally, in a computer system (), a first computer () executes a business application (BA,) to represent components of an apparatus by corresponding objects and to relate the objects in a type-object hierarchy. A message generator (MG,) receives type-object hierarchy information from the application () and provides a message () with a type chain () and an object chain (). Both chains () in combination identify a target object that corresponds to a target component of the apparatus. A second computer () with a message interpreter () parses both chains () to provide identification of the target component as well as identification of parent components with type and objects. The second computer () presents () type-object hierarchy information to a first user (M) by adding type statements in a first natural language; the second computer () presents () type identification to a second user (T) in a second natural language.

Communicating message with type, object and identifiers from business application to service application

First and second computers () operate in first and second object-oriented run-time environments with first and second applications () and corresponding objects (AABBCC). Initiated by a communicator () and supported by a network (), the first computer () sends a message (GETSETINSTRUCT) with object and action identification to the second computer (). The second computer () uses an interpreter () to identify an object (A) in the second run-time environment according to the object identification. The interpreter () further verifies the existence of the identified action for the object (A) in the second run-time environment and determines () a representation of the action in the second run-time environment for the identified object (A). The interpreter () then executes the action by using the representation. Thereby, the interpreter () calls properties and methods of the identified object (A).

Communication between computers operating in different object-oriented run-time environments

Systems and techniques relating to local data repository generation facilitate analysis of business activity information. In general, in one implementation, a technique includes: receiving results of an analysis query applied against a business information warehouse, the results including at least one key performance indicator generated in response to the analysis query by an analytical engine of the business information warehouse from other information stored in underlying databases of the business information warehouse; transforming the results such that the results appear to be obtained directly from an underlying relational database source; and sending the transformed results to a software component that generates from the transformed results a local data repository, a self-describing collection of integrated records, wherein the local data repository supports dynamic analytical processing operations on the results of the analysis query.

Growing community of inventors

Kerzenheim, Germany

Wolfgang Pfeifer