Microsoft Technology Licensing, LLC

John A Cunningham

Brian Robert Crawford

Anthony Crider

Lubomir I Birov

Phillip Michael Hoff

Sung Hon Wu

Paul Maybee

David Gray

Peter Christian Huene

Johan Marien

Gregg Bernard Miskelly

Feng Yuan

Roger Wolff

Steve Carroll

Eric C Lee

Cameron S Buschardt

Boris V Vidolov

Anthony Lavel Crider

Techniques are described herein that are capable of dynamically installing plugin(s) for application(s). An agent plugin is caused to run in a deployment of a specified application (e.g., across multiple machines in a cloud environment or 'on premises'). The specified application is packaged to include the agent plugin. The agent plugin is used to install designated plugin(s) dynamically based on configuration information regarding the specified application. The configuration information indicates that the designated plugin(s) are to be installed in response to the specified application being deployed.

Dynamic plugin(s) for cloud application(s)

Extensions to a debugger are identified in a debugger database which is read automatically when the debugger loads. The debugger watches for trigger events in its execution environment and optionally for load conditions in a debuggee program's internal state. If a trigger event occurs and a load condition is met, then the debugger automatically loads an extension for use. Some extensions provide debugging routines that are specifically designed to support debugging of applications which use a specific programming model.

Automatic model-specific debugger extensions

A debugger enhancement provides a debug-task-provider interface whose implementation includes routines designed to support debugging of programs that contain tasks written for a specific programming model. Task creation hierarchies, individual task properties, resource dependencies, synchronization dependencies, and other information can be made accessible during debugging, through a model-independent interface. In a multithreaded environment, a mapping between tasks and threads is also available.

Debugging support for tasks in multithreaded environments

Web server processes can host multiple web applications that process multiple requests from multiple clients. Recorded diagnostic information may not provide a useful separation of server execution data (e.g., functionality executed to process a request) based on a client's use of the web server process. An effective method for separating server execution data by client information is provided herein. Dye is injected into a request from a client, the dye comprises information regarding the client application making the request and a transaction (e.g., client defined set of requests) that the request is comprised within. The dye injected request is sent to a web server process (e.g., on a web server) that extracts the dye and executes the request. During execution of the request, executed functionality is associated and stored with the extracted dye. The recorded server execution data may be organized based upon the request, client, application, and/or transaction.

Dye injected request generation

Various technologies and techniques are disclosed for facilitating a feedback process regarding the impact that changes to source code will have on tests. Changes contained in at least one source code file are analyzed in combination with code coverage information contained in a data store for a plurality of tests to determine when any of the tests will be impacted by the changes. When at least one test is determined to be impacted by the changes made to the source code file, a warning notification is displayed to a user to notify the user of a possible impact of the changes on the at least one test.

Test impact feedback system for software developers

A method and apparatus for performing a diagnostic of a web based client server application. The web based client server application comprising a web application code, a web application framework, a web server, and a web client. The method comprising an act of collecting diagnostic data associated with the execution of the web application code, wherein the method of performing the diagnostic of the web based client server application adapts to a type of the web server. In another embodiment, marking the beginning and/or end of a diagnostic session, during which diagnostic data associated with the execution of the web application code is collected, is performed based on a launch of the web client. In a further embodiment, determining information about the web application code at least partially based on an interaction with the web application framework. In another embodiment, determining a type of the web server and starting the web server at least partially based on the determined type of the web server. In another embodiment, performing a diagnostic including code profiling, code coverage, and/or unit tests.

Methods and apparatus for performing diagnostics of web applications and services

A system that facilitates debugging of a computing cluster and/or distributed applications environment. A debugger component receives a debugging expression, and a constraint component includes both a static constraint engine (SCE) and a dynamic constraint engine (DCE) processes the debugging expression to automatically perform a debugging process on at least two processes of a plurality of processes. When the user creates a tracepoint or constraint breakpoint the expression is sent directly to the SCE, which parses the constraint and tracepoint expressions, reduces the expression by evaluating parts of the expression based on static values (such as process ID or filename), and passes the remainder on to each of the applicable DCEs. The DCEs register a breakpoint at the applicable location in the process, and upon receiving a breakpoint event, evaluates the remainder of the constraint expression on the dynamic data, and sends log and/or break event data back to the user for viewing.

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Kirkland, WA, United States of America

John A Cunningham