Techniques are disclosed relating to generating a user interface (UI) migration plan, including intermediate UIs, for migrating from a current UI to a new UI. A computer system may receive information specifying a current UI and a new UI, and identify one or more differences between the current and the new UIs. Based on the differences, the computer system may generate information specifying one or more candidate intermediate UIs. The computer system may score the candidate intermediate UIs relative to a specified set of design criteria. The computer system may determine a UI migration plan that specifies a set of the one or more candidate intermediate UIs that are displayable in order to migrate from the current UI to the new UI, where the set of one or more intermediate UIs is selected based on the scoring. Use of the UI migration plan may advantageously reduce user interaction issues.

Techniques are disclosed relating to generating a user interface (UI) migration plan, including intermediate UIs, for migrating from a current UI to a new UI. A computer system may receive information specifying a current UI and a new UI, and identify one or more differences between the current and the new UIs. Based on the differences, the computer system may generate information specifying one or more candidate intermediate UIs. The computer system may score the candidate intermediate UIs relative to a specified set of design criteria. The computer system may determine a UI migration plan that specifies a set of the one or more candidate intermediate UIs that are displayable in order to migrate from the current UI to the new UI, where the set of one or more intermediate UIs is selected based on the scoring. Use of the UI migration plan may advantageously reduce user interaction issues.

Systems and methods analyze for installing dependencies required for the installation of prerequisite components of cloud infrastructure to be installed in a disconnected environment are presented herein. An automation playbook generated after an assessment of a disconnected environment may be analyzed to determine a set of dependencies required by the automation playbook (e.g., packages and files required by each installation playbook called by the automation playbook). Each of the dependencies may be brought into the disconnected environment and installed as operating system packaging units, or deployed as containerized services. After all of the dependencies have been installed, a processing device may generate an installation report indicating whether the installation of each prerequisite component was successful or not. Upon determining that each of the prerequisite components was successfully installed, the processing device may install the cloud infrastructure on the disconnected environment.

Systems and methods analyze for installing dependencies required for the installation of prerequisite components of cloud infrastructure to be installed in a disconnected environment are presented herein. An automation playbook generated after an assessment of a disconnected environment may be analyzed to determine a set of dependencies required by the automation playbook (e.g., packages and files required by each installation playbook called by the automation playbook). Each of the dependencies may be brought into the disconnected environment and installed as operating system packaging units, or deployed as containerized services. After all of the dependencies have been installed, a processing device may generate an installation report indicating whether the installation of each prerequisite component was successful or not. Upon determining that each of the prerequisite components was successfully installed, the processing device may install the cloud infrastructure on the disconnected environment.

Some embodiments provide a method for identifying runtime complexity of a policy. The method receives, through a user interface (UI), a set of code defining a particular policy. For each variable in the particular policy, the method identifies a first occurrence of the variable in the particular policy to determine a number of values assigned to the variable. Variables determined to be assigned one value are separated from variables determined to be assigned more than one value. Based on the determinations for each variable, the method calculates a set of metrics that include at least time complexity, size complexity, and count complexity for the particular policy. The method then displays, through the UI, the calculated set of metrics along with a set of one or more suggestions for optimizing the particular policy based on the calculated set of metrics.

Various embodiments of the teachings herein include methods for amending or adding machine learning capabilities to an automation device in an automation system. The method may include: 1) providing a capability model of the automation device semantically representing capabilities of the device; 2) providing a machine learning model for semantically representing a machine learning functionality and including a semantic model of a neural network; 3) deploying the machine learning model within the automation device; 4) interpreting a semantic part of the machine learning model using a semantic reasoner and matching requirements of the machine learning model with device capabilities inferred by the capability model; and 5) executing the machine learning functionalities on the automation device.

In some aspects, a method for updating software using a rules engine is provided. The rules engine selects a handler for updating a non-updated string of code of a plurality of strings of code of a file and according to a set of rules. The set of rules associates the handler with updating a unique non-updated string of code. The rules engine also instructs the handler to scan the plurality of strings of code, identify, based on the scanning, the non-updated strings of code uniquely associated with the handler, and update the non-updated string of code. The rules engine further receives, from the handler, an indication that the non-updated string of code uniquely associated with the handler is an updated string of code. In addition, the rules engine generates for display on a display screen at least the updated string of code.

A solution providing for the dynamic design, use, and modification of models is provided. The solution can receive an electronic communication identifying a request or event and process the electronic communication in a runtime environment by binding a model of the collection of models to dynamically construct an implementation of the model. Collective properties of the set of related models can emerge dynamically. The binding can comprise late-binding of an application associated with the collection of models to enable at least one user to perform at least one interaction using the environment without disrupting any of the environment or the application.

A solution providing for the dynamic design, use, and modification of models is provided. The solution can receive an electronic communication identifying a request or event and process the electronic communication in a runtime environment by binding a model of the collection of models to dynamically construct an implementation of the model. Collective properties of the set of related models can emerge dynamically. The binding can comprise late-binding of an application associated with the collection of models to enable at least one user to perform at least one interaction using the environment without disrupting any of the environment or the application.

A system and method includes receiving a first context update for an application. The method determines whether one or more of multiple rules has been satisfied in view of the first context update. The multiple rules include a multiple conditions and are associated with multiple contextual situations. The determining includes minimizing a number of the multiple conditions to be evaluated to determine whether a particular rule of the multiple rules has been satisfied. The method responsive to determining a first rule of the multiple rules has been satisfied, identifies a first contextual situation of the multiple contextual situations that is associated with the first rule. The method also determines at least one action that is associated with the first contextual situation.