Abstract: An application deployment method and a scheduler are disclosed. The method includes: receiving, by a scheduler, an application deployment request sent for a first application by a cloud controller of a first cloud; after receiving the application deployment request, sending, by the scheduler, a first query message and a second query message to a cloud controller of a second cloud, and sending a second query message to a cloud controller of a third cloud; determining, by the scheduler, a target calculation unit from at least one calculation unit that is obtained by querying by using the first query message and the second query message and that has a first calculation capability; and deploying, by the scheduler, the first application to the target calculation unit.

Abstract: A method, apparatus and computer program product, the method comprising: opening a storage volume associated with a mainframe computer executing z/OS operating system; obtaining access to a required area of the storage volume; receiving a call from a program programmed in a high level programming language and executed on the mainframe computer, to execute a user channel program, wherein the user channel program may refer to any location within the required area of the storage volume; and processing the user channel program to obtain channel command words and provide the channel command words to Execute Channel Program (EXCP).

Abstract: In a method for selecting one or more tests for a compiled software module, a processor detects that one or more changes have been made to source code for a software module. A processor compiles the source code for the software module. A processor accesses a set of tests for the software module. A processor accesses metadata for each test of the set of tests. A processor receives a first set of one or more rules describing logical conditions relative to the metadata for the tests. A processor selects at least one test from the set of tests whose metadata corresponds to the received first set of one or more rules.

Abstract: Systems and techniques are described for generating test cases. A described technique includes monitoring a manual test of a code portion. The monitoring can include identifying one or more performed operations performed during the manual test. A seed file can be generated that includes data describing the one or more performed operations. A mock test can be generated for the code portion using the seed file. The mock test can include one or more mock operations that match the one or more performed operations. The mock test can be performed on the code portion, including performing the one or more mock operations using the code portion.

Abstract: A method for creating a process of computer programming without mandatorily distinguishing client side programming and server side programming and without mandatorily distinguishing server technologies, a new client server computer programming paradigm is created, in which there is not a distinguish between client side programming and server side programming, client server programming is done in a same way local programming is done.

Abstract: The embodiments provide a data processing apparatus for automated blueprint assembly. The data processing apparatus includes a micro-blueprint assembler configured to receive a request for automated blueprint assembly for assembling an application, where the request specifies at least one feature, and a model database configured to store model data. The model data includes a plurality of classes and class properties. The data processing apparatus further includes a micro-blueprint database configured to store a plurality of micro-blueprints. Each micro-blueprint corresponds to a functional component of a stack element or service tier, and the functional component is annotated with one or more classes of the plurality of classes and at least one required capability and available capability. The micro-blueprint assembler is configured to generate at least one application blueprint based on the model data and the plurality of micro-blueprints according to the request.

Abstract: Debugging capabilities for software running in a cloud-computing environment are disclosed. Embodiments enable developers to debug any process running on a virtual machine hosted in a remote data center, virtual network, or cloud services environment over the Internet through a secured connection without manually installing and configuring a remote debugging monitor. A debugger module is dynamically installed and configured on a remote machine over the Internet through an extension model. In another embodiment, a debugger module is dynamically installed and configured on a remote machine over the Internet through a remote scripting approach. A secure connection is automatically established between debugger application components and debugging components on the remote machine.

Abstract: Information associated with tests performed on an application program is captured and stored in memory. This information is then used to recommend a set of regression tests to a user for use in regression testing the application. Particularly, responsive to being notified about a change in the program code, the device analyzes the stored information and recommends a selected set of regression tests to a user based on the results of that analysis. The recommended tests enable the user to adequately regression test the program code in the application program using an optimal number of test cases.

Abstract: A method is provided in one example embodiment and includes transmitting a message from a network element to a network controller, the message identifying a data store of the network controller and a data model and a transformation document stored in the identified data store; downloading the identified data model and identified transformation document to the network element; applying the downloaded transformation document to the downloaded data model to generate a platform interface file; and programming the platform interface file at the network element. In certain embodiments, the data model is a YANG data model; in other embodiments, the data model is a YIN representation of a YANG data model. The transformation document may comprise eXtensible Stylesheet Language Transformation (“XSLT”) document.

Abstract: Techniques to enhance software production are described. An apparatus may include a processor and a memory unit to couple to the processor. The memory unit may store a software build service that when executed by the processor is operative to receive a request to subscribe to the software build service from a software development client, create a virtual software build platform to build a software application, and assign multiple build resources from a resource pool to the virtual software build platform to build the software application, with each of the multiple build resources having one or more assigned affinity relationships for build execution tasks to build the software application. Other embodiments are described and claimed.

Abstract: A computing device processor may be configured with processor-executable instructions to implement methods of using behavioral analysis and machine learning techniques to evaluate the collective behavior of two or more software applications operating on the device. The processor may be configured to monitor the activities of a plurality of software applications operating on the device, collect behavior information for each monitored activity, generate a behavior vector based on the collected behavior information, apply the generated behavior vector to a classifier model to generate analysis information, and use the analysis information to classify a collective behavior of the plurality of software applications.

Abstract: An information processing apparatus in which an application operates, comprises: a framework that causes a first application and a second application for extending the first application to operate; and installation control unit configured to control installation of an application into the framework, wherein the installation control unit holds data of the second application in a first storage area in a case of receiving an instruction to install the second application, and installs the second application into the framework using the data of the second application held in the first storage area, in a case of receiving an instruction to activate the second application after receiving the instruction to install the second application.

Abstract: Technologies are disclosed herein for enabling communication between an application developer and application testers, and for facilitating application testing. An application to be tested may be modified during ingestion by an application store to include a testing component. When the application is executed by an application tester on a computing device, the testing component provides functionality for assisting the tester with the testing of the application. As one example, the testing component might provide on-screen instructions to the application tester to perform an operation or a sequence of operations in the application that have been defined by the application developer. The testing component might also facilitate direct communication between the application developer and the application tester through screen sharing, one or two-way video chat, text chat, and/or other mechanisms.

Abstract: An application Runtime Expert (ARE) manages deployment of application software on multiple computer systems. The ARE assists the user in verifying and fixing configuration and environment details of an application deployed on multiple computer systems. The ARE creates a user configurable XML template that contains configuration and environment details based on information collected from a master system that has a known good deployment. The ARE allows a user to edit the XML logic in the template and add plug-ins to the template. The XML template with the added plug-ins are sent to a target system and used to verify the deployment on the target system compared to the master system and to make fixes to the target system's configuration.

Abstract: The automated validation of one or more test cases in a validation pass. The validation pass is enabled using a plurality of scenario runners, which are executable components that respond to instructions to run one or more scenarios of a validation pass by beginning to run through such scenarios during the validation pass. The validation pass may be associated with a maximum time such that upper limits on how long the scenario runners may run is set. This likewise limits the time it takes to validate the results of the scenario. The scenario runners provide events that occur during the running of their respective scenarios into an event collector. The events of the validation pass may then be evaluated against one or more test cases to determine whether or not the events have a state indicative of a success or failure of each test cases.

Abstract: Methods and systems for optimizing a build order of component source modules comprises creating a dependency graph based on dependency information. Historical build information associated with previous build failures is then used to calculate relative failure factors for paths of the dependency graph; and the relative failure factors are used to determine an order of traversal of the dependency graph during a build process in which component binary modules are built from the component source modules.

Abstract: According to example embodiments of the present invention, an object to be monitored is determined, the object being associated with a variable in a code snippet including a plurality of statements. The object is monitored in execution of the plurality of statements. If a plurality of updates of the object are detected in the execution of the plurality of statements, a snapshot associated with each of the updates of the object is created. The snapshot includes a current value of the object and a memory address for the current value of the object.

Abstract: According to example embodiments of the present invention, an object to be monitored is determined, the object being associated with a variable in a code snippet including a plurality of statements. The object is monitored in execution of the plurality of statements. If a plurality of updates of the object are detected in the execution of the plurality of statements, a snapshot associated with each of the updates of the object is created. The snapshot includes a current value of the object and a memory address for the current value of the object.

Abstract: A computer-implemented method includes receiving a content artifact. The content artifact includes information content and functional content. Extracting the functional content includes creating a functional content artifact. The computer-implemented method further includes extracting the functional content into a functional content artifact based on one or more decision criteria. The computer-implemented method further includes presenting the functional content artifact to a functional content artifact application. Optionally, the computer-implemented method further includes transferring the functional content artifact to an operational environment. Optionally, the computer-implemented method further includes modifying the functional content artifact into a modified functional content artifact. Optionally, the computer-implemented method further includes making available the modified functional content artifact available to an operational environment.

Abstract: Comparisons of different versions of an application may be compared using a behavior model of the application. A behavior model may be derived from n-gram analysis of observations of the application in production. The behavior model may include sequences of inputs received by the application or functions performed by the application, where each sequence is an n-gram observed in tracer data. Each n-gram may be coupled with a resource consumption to give a behavior model with performance data. A regression analysis may apply a behavior model derived from a first version of an application to the performance observations of a new version to create an expected performance metric for the new version. A similarly calculated metric from a previous version may be compared to the metric from a new version to determine an improvement or degradation of performance.