Abstract: Embodiments of the invention are generally related to computer systems, and more specifically to the analysis of defects in computer software products. Defects uncovered during software testing may be stored in a data structure as data defects, code defects, or environment defects, along with further data describing a particular nature of the defects. The defects may be analyzed to determine a particular problem area causing the defects. If a particular class of defects is determined to be the dominant class of defects encountered during testing, an analysis path of that class of defects may be followed to determine a cause for the defects in the respective class. Therefore, corrective measures tailored to resolving the defects associated with the determined cause may be taken.

Abstract: A method and system estimates future software support requirements based on statistical models of previous observations of support requests, either for the same product or for a different product having features previously identified as correlated with features of a new product. The estimates include an estimated volume of support requests and an estimated type of support requests. The estimated types include the activity occurring at the time of the failure, an identifier as to whether a defect in the software was previously known, and the like. The estimates are used to estimate and allocate support resources prior to support requests being received, and prior to a software product being released.

Abstract: A method and system estimates future software support requirements based on statistical models of previous observations of support requests, either for the same product or for a different product having features previously identified as correlated with features of a new product. The estimates include an estimated volume of support requests and an estimated type of support requests. The estimated types include the activity occurring at the time of the failure, an identifier as to whether a defect in the software was previously known, and the like. The estimates are used to estimate and allocate support resources prior to support requests being received, and prior to a software product being released.

Abstract: Methods, systems, and articles of manufacture for analyzing defects associated with a software development project. Descriptions of defects identified during the testing of a software product may be stored in a data structure. One or more of the defects may be identified as data defects. If data defects are determined to be the dominant class of defects in the data structure, the data defects may be analyzed to determine a cause for one or more data defects. For example, the focus areas affected by the defects, the trends over time of the defects, the particular types of the data defects, the stability of the system, etc. may be analyzed to determine a cause for the data defects. Therefore, corrective measures may be taken based on the identified cause of the one or more data defects.

Abstract: Methods, systems, and articles of manufacture for analyzing defects associated with a software development project. Descriptions of defects identified during the testing of a software product may be stored in a data structure. One or more of the defects may be identified as data defects. If data defects are determined to be the dominant class of defects in the data structure, the data defects may be analyzed to determine a cause for one or more data defects. For example, the focus areas affected by the defects, the trends over time of the defects, the particular types of the data defects, the stability of the system, etc. may be analyzed to determine a cause for the data defects. Therefore, corrective measures may be taken based on the identified cause of the one or more data defects.

Abstract: Embodiments of the invention are generally related to computer systems, and more specifically to the analysis of defects in computer software products. Defects uncovered during software testing may be stored in a data structure as data defects, code defects, or environment defects, along with further data describing a particular nature of the defects. The defects may be analyzed to determine a particular problem area causing the defects. If a particular class of defects is determined to be the dominant class of defects encountered during testing, an analysis path of that class of defects may be followed to determine a cause for the defects in the respective class. Therefore, corrective measures tailored to resolving the defects associated with the determined cause may be taken.

Abstract: A method and system estimates future software support requirements based on statistical models of previous observations of support requests, either for the same product or for a different product having features previously identified as correlated with features of a new product. The estimates include an estimated volume of support requests and an estimated type of support requests. The estimated types include the activity occurring at the time of the failure, an identifier as to whether a defect in the software was previously known, and the like. The estimates are used to estimate and allocate support resources prior to support requests being received, and prior to a software product being released.

Abstract: A method and system estimates future software support requirements based on statistical models of previous observations of support requests, either for the same product or for a different product having features previously identified as correlated with features of a new product. The estimates include an estimated volume of support requests and an estimated type of support requests. The estimated types include the activity occurring at the time of the failure, an identifier as to whether a defect in the software was previously known, and the like. The estimates are used to estimate and allocate support resources prior to support requests being received, and prior to a software product being released.