Sap Se

Sap Ag

Martin Knechtel

Axel Schroeder

Christof Momm

Kay Jugel

Michael Ameling

Philipp Herzig

Frithjof Dau

Techniques are described for detecting the presence of regressions in software, such as software that is being developed and tested in a development environment. Compiled code can be instrumented to introduce annotations to the compiled code. For example, the annotations can be added at the start and end of a code section, where a code section can be specified at any suitable degree of specificity (e.g., a line of code, a function, a component, multiple components, and so forth). When the instrumented code is executed, the annotations generate timing information that describes the execution times of the various annotated code sections. The timing information can be analyzed and compared to previously generated timing information for the code base, and detected differences may trigger actions such as reports, alerts, denied requests to pull code from the source repository, rejected code check-ins, bug reports, and so forth.

Regression analysis platform

An endless loop in an inference engine processing a set of rules according to facts stored in a database may be detected by: (a) analyzing the set of rules to identify a subset of the set of rules comprising rules that are triggered by an updated fact; (b) executing the rules of the subset; (c) updating at least one of the facts based on the execution of the rules; (d) storing an identifier for each executed rule of the subset; (e) associating each stored identifier with a subset number for the subset in a consecutive sequence of subset numbers for executed subsets; and repeating steps (a)-(e) until the identifier for a rule, to be executed, is associated with an excessive number of subset numbers that are equally offset from each other in the sequence of subset numbers for executed subsets.

Provision of rules-based system as cloud service

Methods, systems, and computer program products for discovering network connected devices are described. A semantic query for a network connected device is parsed, with the semantic query identifying one or more capabilities of a desired network connected device. A network address of a network connected device satisfying the parsed semantic query is identified and a query response identifying the network address of the network connected device is provided.

Device discovery service

A motivational system computer platform may retrieve a current motivational rule set (e.g., a program's motivational mechanism) from a motivational rule set data store. The system may then arrange to execute the program such that inputs from a remote user device are applied to the current motivational rule set resulting in current motivational feedback that is stored into a current motivational feedback data store and transmitted to the user device. The motivational system computer platform may also retrieve a shadow motivational rule set from the motivational rule set data store. The system may then arrange to execute the program such that inputs from the user device are also applied to the shadow motivational rule set, in parallel with the current motivational rule set, resulting in shadow motivational feedback that is stored into a shadow motivational feedback data store without being transmitted to the user device.

Automated verification of motivational mechanism using shadow period

The present disclosure involves systems, software, and computer-implemented methods for asynchronous session storing. An example method includes receiving, by a first thread of a data processing apparatus, a backup trigger for backing up session of an application being executed by a second, separate thread of the data processing apparatus; serializing, by the first thread of the data processing apparatus, session, wherein serializing the session comprises blocking execution of the application by the second thread of the data processing apparatus; storing the serialized session into a database; and validating the stored session.

Asynchronous session storing

The present disclosure relates to computer-implemented methods, software, and systems for allowing Internet of Things (IoT) solutions to be integrated using common underlying vocabularies and lightweight reasoning to connect applications and validate IoT device data. In one example method, application-specific vocabularies for each of a plurality of applications are identified at design time, wherein each of the applications is associated with a corresponding vocabulary. At design time and for each application, an explicit mapping of the application-specific vocabulary of a particular application to a corresponding common vocabulary is identified. At runtime, implicit mappings between a first application and a second application to be integrated are computed based on the explicit mapping of the application-specific vocabulary of the first application to the common vocabulary and the explicit mapping of the application-specific vocabulary of the second application to the common vocabulary.

Integrating IoT solutions by common vocabularies with semantic technologies

A method and system including a code comment module; a unified code processor in communication with the code comment module and operative to execute processor-executable process steps to cause the system to: receive initiation of an integrated development environment program; receive at least one element; initiate an editor in response to the received at least one element; receive a markup annotation, wherein the markup annotation is associated with the received at least one element; receive one or more comments to be formatted by the received markup annotation; and display the at least one element and the formatted comment. Numerous other aspects are provided.

Code comment markup

Various embodiments of systems and methods for providing navigation assistance are described herein. A navigation assistance request is received for commuting between the start waypoint and the destination waypoint. Based on the received request, the angle-orientation coordinates included in the angle-based navigation instruction are converted to direction-based navigation instructions. Finally, the direction-based navigation instructions are provided to a user. In one embodiment, the direction-based navigation instructions are stored in a directed weighted graph. The directed weighted graph may be used to determine navigation instructions for an intersection point. In one embodiment, crowdsourcing is used to collect the navigation instructions.

Sensor-less indoor navigation assistance

The present disclosure involves systems, software, and computer implemented methods for database scaling for multi-tenant applications. One example method includes receiving an indication to migrate a tenant of an application from a default database to a scale database. The tenant is locked. At least one stateful component that includes state information for the tenant is identified. The state information is serialized. The identified stateful component(s) are shut down. Data for the tenant is copied from the default database to the scale database. The tenant is assigned to the scale database. The serialized state information is de-serialized to generate de-serialized state information, and the de-serialized state information is stored in the scale database. The stateful component(s) are restarted and the tenant is unlocked.

Database scaling for multi-tenant applications

A set of condition monitoring sensors may provide signals indicative of current conditions local at a user device (e.g., a smartphone). An alert recommendation platform may automatically analyze the signals and decision logic to generate an alert recommendation and output an alert signal. Responsive to the alert signal, a notification platform may automatically determine a set of potential support communication devices (e.g., other smartphones) based at least in part on a location associated with the user device and locations of the potential support communication devices. The notification platform may then arrange for at least some of the potential support communication devices to receive a support request message (e.g., nearby smartphones may receive notifications requesting support).

Location based support request messages responsive to alert recommendation

A system includes receiving a start of a path gesture and determining, via a processor, a decision point along the path gesture. At the decision point, a first command associated with a first dimension is displayed. In addition, at the decision point, a second command associated with a second dimension is displayed.

Path gestures

Embodiments relate to apparatuses and methods configured for automatic learning and/or optimizing an order of items appearing in a sequence. Particular embodiments employ an engine to recognize sequences (e.g., lists of items) repeatedly encountered by a user. Examples of such sequences can include grocery lists, and emails present in an in-box. The engine then references available metadata associated with the sequence and its items, in order to present the user with an optimized sequence tailored to one or more criteria. Examples of available metadata can include sensed location information (of the user and/or other entities), temporal information, contextual influences, historical actions by the user, and/or general population habits (e.g., as may be determined via crowdsourcing). Certain embodiments may further generate a modified sequence based upon suggestions afforded by metadata associated with the sequence. Embodiments may utilize a self-learning scoring algorithm to perform sequence recognition, optimization, and/or modification.

System and method automatically learning and optimizing sequence order

In one embodiment the present invention includes a computer-implemented method for generating constraints for use in an access control system. In one embodiment, roles, document types, and permissions are stored in a 3-D model, such as a matrix or table. The 3-D model is converted to 2-D models, where users are inserted for roles and documents are inserted for document types. The 3-D model and 2-D models represent access rights. Supplemental information about the access rights is added to the 2-D tables. In one embodiment, attribute exploration is used to generate supplemental information. Constraints are generated from the 2-D tables for use in controlling access rights in a computer system.

Growing community of inventors

Dresden, Germany

Martin Knechtel