Abstract: Artifact selection by obtaining textual reports indicating potential defects in a program product. The textual reports are associated with artifacts of the program product. The textual reports and artifacts are automatically analyzed to estimate severity of potential errors in the artifacts of the program product, by utilizing a statistical model to estimate the severity based on content of the textual reports. The statistical model is trained with respect to a training dataset. A subset of the artifacts is determined based on the estimated severity.

Abstract: A computerized apparatus, a computer implemented method and a computer program product for artifact selection using textual reports. The method comprising obtaining one or more textual reports indicating potential defects in a program product, wherein each textual report is associated with an artifact of the program product; automatically analyzing the textual reports and artifacts to estimate severity of potential errors in the artifacts of the program product; and determining a subset of the artifacts based on the estimated severity.

Abstract: A method that includes: sampling a plurality of parameters associated with a first and a second system to yield a first and a second set of data series, respectively, each data series being associated with samples of a respective parameter; applying, for each two respective data series, a transformation associated with a specified order selected from a plurality of ordered transformations, such that the selected transformation is applied repeatedly to at least one of the two respective data series, wherein, in each repeated application, the transformation is assigned with a different value of a transformation parameter; determining, for each parameter, a one of the plurality of transformation parameters for which the correlation level of the two respective time series is above a specified value; and repeating the applying and the determining with a transformation that is associated with a higher order of the ordered transformations.

Abstract: Test coverage is enhanced by measuring various types of coupling between coverage tasks. The coupling measurements may be implicit coupling measurements, explicit coupling measurements, coding coupling measurements, performance coupling measurements, resource coupling measurements or the like. Based on the coupling measurements, different coverage tasks may be grouped together. For example, closely coupled coverage tasks may be grouped together. The groups may also be determined based on an initial distribution of groups, by combining groups having closely coupled member coverage tasks. The groups may be ordered and prioritized, such as based on the size of the groups and the number of uncovered tasks in each group. The groups may also be ordered, such as based on coupling score which aggregate the coupling measurements of the member coverage tasks.

Abstract: Test coverage is enhanced by measuring various types of coupling between coverage tasks. The coupling measurements may be implicit coupling measurements, explicit coupling measurements, coding coupling measurements, performance coupling measurements, resource coupling measurements or the like. Coupling scores are calculated for coverage tasks and based thereon ranking of the coverage tasks or groups of coverage tasks may be determined The ranking may be utilized in selecting for which uncovered coverage task a test should be designed. The ranking may be utilized in computing a coverage measurement of a test suite. The ranking may be utilized to rank tests, based on the coverage tasks each test covers. Ranking of tests may be utilized for various purposes such as performing test selection.

Abstract: A computer-implemented method is provided, including monitoring one or more parameters of a computer system that executes one or more service requester processes that issue service requests to one or more service provider processes. A congestion in the system is detected by analyzing the parameters. Upon identifying at least one of the service requester processes as contributing to the congestion, execution of the at least one of the service requester processes is slowed. Other embodiments are also described.

Abstract: A method for maximizing a utility of a service contract by optimizing target response time for a performance service level objective is provided. A set of criteria are provided to ensure that performance requirements for the service are met. The method comprises determining one or more usage windows for providing a service, wherein each usage window is associated with a performance requirement and a time period; extracting usage patterns for each usage window based on historical data provided from monitoring requests for service in each usage window; extracting response time per transaction associated with said requests based on historical data provided from monitoring responses provided to said requests in each usage window; and calculating optimal probability for breach in each usage window (Pi) and determining the associated target response time, based on the usage pattern for each window and the response time per transaction.

Abstract: Test coverage is enhanced by measuring various types of coupling between coverage tasks. The coupling measurements may be implicit coupling measurements, explicit coupling measurements, coding coupling measurements, performance coupling measurements, resource coupling measurements or the like. Coupling scores are calculated for coverage tasks and based thereon ranking of the coverage tasks or groups of coverage tasks may be determined The ranking may be utilized in selecting for which uncovered coverage task a test should be designed. The ranking may be utilized in computing a coverage measurement of a test suite. The ranking may be utilized to rank tests, based on the coverage tasks each test covers. Ranking of tests may be utilized for various purposes such as performing test selection.

Abstract: Test coverage is enhanced by measuring various types of coupling between coverage tasks. The coupling measurements may be implicit coupling measurements, explicit coupling measurements, coding coupling measurements, performance coupling measurements, resource coupling measurements or the like. Based on the coupling measurements, different coverage tasks may be grouped together. For example, closely coupled coverage tasks may be grouped together. The groups may also be determined based on an initial distribution of groups, by combining groups having closely coupled member coverage tasks. The groups may be ordered and prioritized, such as based on the size of the groups and the number of uncovered tasks in each group. The groups may also be ordered, such as based on coupling score which aggregate the coupling measurements of the member coverage tasks.

Abstract: A method that includes: sampling a plurality of parameters associated with a first and a second system to yield a first and a second set of data series, respectively, each data series being associated with samples of a respective parameter; applying, for each two respective data series, a transformation associated with a specified order selected from a plurality of ordered transformations, such that the selected transformation is applied repeatedly to at least one of the two respective data series, wherein, in each repeated application, the transformation is assigned with a different value of a transformation parameter; determining, for each parameter, a one of the plurality of transformation parameters for which the correlation level of the two respective time series is above a specified value; and repeating the applying and the determining with a transformation that is associated with a higher order of the ordered transformations.

Abstract: Systems and methods for optimizing performance in a computing environment are provided. The system comprises means for monitoring execution of annotated logic code associated with a software component to determine whether a condition has been satisfied, wherein annotations in the logic code provide one or more details about the software component, the details being useful to a healing agent to correct a problem associated with said condition during the execution of the logic code.

Abstract: Systems and methods for optimizing memory management in a runtime environment are provided. The method comprises monitoring one or more objects loaded into primary memory of a computing system to determine if at least a first object can be removed from the primary memory; instantiating a proxy object to replace the first object in the primary memory; removing the first object from the primary memory; and monitoring calls to the proxy object to determine whether the first object is invoked by a process.

Abstract: A computer-implemented method is provided, including monitoring one or more parameters of a computer system that executes one or more service requester processes that issue service requests to one or more service provider processes. A congestion in the system is detected by analyzing the parameters. Upon identifying at least one of the service requester processes as contributing to the congestion, execution of the at least one of the service requester processes is slowed. Other embodiments are also described.

Abstract: The exemplary embodiments provide a computer implemented method, apparatus, and computer usable program code for managing memory. A suspect loitering object is detected for a set of selected applications, forming a detected object. The detected object is paged to persistent storage, forming a paged object. The paged object is deallocated from system memory, forming a deallocated object.

Abstract: A method for maximizing a utility of a service contract by optimizing target response time for a performance service level objective is provided. A set of criteria are provided to ensure that performance requirements for the service are met. The method comprises determining one or more usage windows for providing a service, wherein each usage window is associated with a performance requirement and a time period; extracting usage patterns for each usage window based on historical data provided from monitoring requests for service in each usage window; extracting response time per transaction associated with said requests based on historical data provided from monitoring responses provided to said requests in each usage window; and calculating optimal probability for breach in each usage window (Pi) and determining the associated target response time, based on the usage pattern for each window and the response time per transaction.

Abstract: A method, service and search system for network resource address repair are provided. The method which may be provided as a service over a network, includes: receiving a network resource address that is incorrect; dividing the network resource address into a host address and a path within the host address; searching for the host address, and repairing the host address if an error is found; and, if the host address if found or repaired, searching for the path. A search system is provided which includes a means for activating a network resource address repair if a network resource address is incorrect; and a means for repairing a network resource address. The means for repairing a network resource address includes inputting the host address or the path separately into the query processing means of the search engine.

Abstract: Systems and methods for optimizing performance in a computing environment are provided. The system comprises means for monitoring execution of annotated logic code associated with a software component to determine whether a condition has been satisfied, wherein annotations in the logic code provide one or more details about the software component, the details being useful to a healing agent to correct a problem associated with said condition during the execution of the logic code.

Abstract: Systems and methods for optimizing memory management in a runtime environment are provided. The method comprises monitoring one or more objects loaded into primary memory of a computing system to determine if at least a first object can be removed from the primary memory; instantiating a proxy object to replace the first object in the primary memory; removing the first object from the primary memory; and monitoring calls to the proxy object to determine whether the first object is invoked by a process.