Compuware Corporation

William Noble

Bryce Dunn

Murali Mogalayapalli

Michael A Horwitz

Bart Oostlander

Rosina M Beadle

Michael Knight

Bartosz Gatz

Terrence V Harshfield

Krzysztof Ziemianowicz

Stephen Kowal

Kristen Allmacher

Pamela L Shiels

Karen Nelson-Katt

Sithanshu K Shashidhara

David Lagermeier

Jerry Amos Dunst

Troy Roberts

An improved method is provided for identifying a cause of a performance problem experienced by an application in a computing environment. To help a user find and isolate the problem quicker, the method proposes a unified performance analysis report that presents the most likely indicators of the source of the performance problem. The report presents performance metrics for the software services used by the application and charts the metric values over time since it is often the change in a metric that indicates a problem. Each metric chart should also include an indicator for the state of service for the application. This will help the user correlate metrics from multiple sources to the time period in which the application experienced a problem.

Performance management tool having unified analysis report

A method of scheduling availability for a computing infrastructure in a shared computing environment is disclosed. The method comprises assigning a new schedule of service to a software application in the computing environment, propagating the new schedule of service assigned to the software application to a plurality of computing components that support the software application, where the computing infrastructure is comprised of the plurality of computing components having a hierarchical relationship with each other, and determining a schedule of service for a given computing component in the computing infrastructure by aggregating schedules of service propagated to the given computing component.

Method for determining a business calendar across a shared computing infrastructure

An automated method is provided for constructing or updating a service model that defines the entities in an enterprise's computing environment. The method includes: defining a group of templates for updating the service model, where the group of templates identify different types of entities which comprise the service model and relationships between the types of entities including an entity that links software applications to respective computing infrastructure that supports the software applications; monitoring messages received from monitoring tools residing in the computing environment; and updating a service model in accordance with the group of templates using data encapsulated in the messages.

Service model creation using monitored data of the performance management tool

A computer-implemented method and system for measuring and reporting on the effectiveness of software program testing combines information from existing debugging and analysis tools to provide various displays of the logical paths of a program under test that have been executed, as well as related data. Logical path execution is determined based on the number of times a decision block has been executed and the number of times statements coming out of the decision block have been executed.

System and method to measure and report on effectiveness of software program testing

A computer-implemented system and method for improving the efficiency of testing a process by focusing the testing in the highest risk areas of the process. One application of this computer-implemented system and method is in software testing to improve the effectiveness of software testing by focusing the testing efforts on the parts of the software that have a highest risk of failure and also by focusing the testing on the types of tests needed to reduce the risk.

Risk metric for testing software

An object-oriented framework is used to build cooperative objects. Objects can span processes on different machines connected by a network. The objects are used to build distributed or cooperative applications which execute in multiple environments without having to write significant additional code to enable such functionality. Each cooperative object has two parts: an agent object and a server object. Requests for services are made to agent objects by the application program (via an asynchronous interface) as if they were local objects. The server object performs the requested service in the server process, possibly using other server objects or systems (e.g., DB/2), and returns the result to the associated agent object. A Distributor and Dispatcher object in each process handle communication between agent and server objects. The Distributor receives all incoming messages and routes them to the appropriate objects in the process. The Dispatcher is used for sending messages to other objects. Agent and server objects use framework methods SendMessage and HandleMessage to send/receive messages to/from other objects. Message data is converted to account for parameter types in different processing environments (e.g., byte-swapping and ASCII to EBCDIC). Upon receipt of a message, the Distributor automatically calls the HandleMessage method of the receiving object. The object then processes the request according to the user-defined implementation of the HandleMessage method and, in the client process, notifies the application of the completion of a request via a Callback method.

System and method for cooperative processing using object-oriented

Growing community of inventors

South Lyon, MI, United States of America

William Noble