Embodiments for debugging program code are provided. In response to a debug comparison request, (i) a first set of debugging operations are initiated on a first portion of program code selected from an original version of a program, and (ii) a second set of debugging operations are initiated on a second portion of program code selected from a revised version of the program. The second portion of program code corresponds to the first portion of program code. Execution of the first and second portions of program code is synchronized. The first and second set of debugging operations are stopped in response to determine that at least one of a first and a second stop condition exists based, at least in part, on a comparison of the results from executing one or more lines of corresponding code from the first and second portions of program code.

Embodiments of the present invention provide methods and systems for simulating variable changes during runtime of a process. The method includes recording variable changes and process context, and filtering sensitive content from the variable changes and process context. The recorded variable changes are recorded into a timeline containing the change in values to the variable changes, which is executed in a simulation environment, in order to debug the process.

Multi-data analysis based proactive defect detection and resolution may include analyzing operational data for an application to determine whether a functionality related to the application is below a predetermined threshold associated with the functionality related to the application, and based on the analysis, generating an indication to perform defect analysis related to the functionality related to the application. A sentiment analysis may be performed on consumer data related to the application to determine a sentiment of the consumer data related to the application, and a natural language processing (NLP) analysis may be performed on the consumer data related to the application to determine a function associated with a negative sentiment. Application code and process data related to the application may be analyzed to determine a defect associated with the application. Further, a code of the application may be modified to correct the defect associated with the application.

The technology disclosed relates to systems and methods usable for developing and testing dashboards with production data in non-production environments including a development server with APIs interposed between a development app and a production server, providing development access to production data before deployment into the production environment. The disclosed development server includes an app server that serves a development app in response to a request from a developer device; and exposes development APIs that mirror production APIs of the production server, and relay of messages between the development APIs and the production APIs. The development server replicates access to production server APIs relied on to retrieve and process time series data from a data store, the replication including access to development server APIs that mirror relative addressing of production APIs. Users can select among reviewed and approved dashboards, and can select to deploy the selected dashboards to the production server.

A system and method for developing and distributing software. Third-party software development kits (SDKs) are received and stored by a software development and distribution platform (SDDP), with each third-party SDK published by a third-party service provider, the plurality of third-party SDKs including a first third-party SDK. An installation request from an application developer machine is received by the SDDP and the SDDP sends the first third-party SDK in response to the installation request for installation in an application under development.

A software test method used in a software test system that includes a memory that stores a plurality of computer executable instructions and a processing unit coupled to the memory is provided. The software test method includes the steps outlined below. The processing unit detects input and output parameters of under-test software. The processing unit detects inner operation parameters of the under-test software. The processing unit establishes parameter variance probability of each parameter variances between any two functions included in the under-test software to generate test case including test parameters accordingly. The processing unit transmits test parameters of the test case to the under-test software to perform test.

A streams manager monitors data tuples processed by a streaming application represented by an operator graph. The streams manager includes a tuple breakpoint mechanism that allows defining a tuple breakpoint that fires based on resource usage by the data tuple. When the tuple breakpoint fires, one or more operators in the operator graph are halted according to specified halt criteria. Information corresponding to the breakpoint that fired is then displayed. The tuple breakpoint mechanism thus provides a way to debug a streaming application based on resource usage by data tuples.

A streams manager monitors data tuples processed by a streaming application represented by an operator graph. The streams manager includes a tuple breakpoint mechanism that allows defining a tuple breakpoint that fires based on resource usage by the data tuple. When the tuple breakpoint fires, one or more operators in the operator graph are halted according to specified halt criteria. Information corresponding to the breakpoint that fired is then displayed. The tuple breakpoint mechanism thus provides a way to debug a streaming application based on resource usage by data tuples.

Concepts and technologies are disclosed herein for end-to-end validation of virtual machines. A control system including a processor can detect a validation request that can include a request to create an end-to-end validation function to perform end-to-end validation of a service. The processor can analyze a policy to determine components of the end-to-end validation function and a virtual machine that will host the end-to-end validation function. The components can include a generator function and a receiver function that can encompass the service. The processor can load, or trigger loading of, an image to the virtual machine and instantiation of the virtual machine. The image can include the end-to-end validation function. The processor also can validate the service using the end-to-end validation function based upon a test scenario stored in a test library of the end-to-end validation function.

The present disclosure describes testing resiliency plans for applications on alternate hosts within production environments instead of simulated environments. Embodiments herein disclose determining resiliency components for an application being tested and determining related resiliency components from related applications. Embodiments herein further disclose determining one or more dependencies between a first resiliency component and both the resiliency components from the application being tested and related applications. Furthermore, mapping resiliency component dependencies between the resiliency components of the application and with the related resiliency components is disclosed. Finally, the first resiliency component and the related resiliency components are moved from a home host location to an alternate host location for a period of time in a real production environment.