Abstract: A method, information processing system and computer readable medium for assessing risk in a software development project. The method includes receiving software project data for assessing risks in a software development project and identifying a plurality of focus areas for analysis. The method further includes defining a set of analysis tasks for each focus area and creating one or more rule sets for each analysis task, each rule set comprising one or more rules including software project data. The method further includes evaluating each rule set against the software project data summarizing results of evaluating each rule set corresponding to an analysis task. The method further includes providing a risk assessment value for each analysis task using the results of the summarizing element.

Abstract: A method to create an instance of a defect-based production and testing process analysis machine (DPTPAM) provides continual process improvement based on foundational questions and classified defect data. The method includes the following steps: obtaining domain specific questions; developing a domain specific classification scheme that supports the answering of the foundational and domain specific questions; determining a method of using the domain specific classification scheme to answer both the foundational and domain specific questions; and creating a domain specific DPTPAM instance embodying the domain specific classification scheme and the method of answering the foundational and domain specific questions. The method can be implemented with a machine and a computer readable medium comprising logic for performing the method.

Abstract: A system for optimizing at least one of a design, production, or testing process of a product in a mass manufacturing process includes: a central processing unit; a network interface operatively connected to the central processing unit; a storage device; a memory including logic for execution by the central processing unit, wherein the logic includes: a server handler made up of a client applet and a client interface servlet which are configured for enabling authorized end-user communication; an error data collection handler configured for gathering error data; an error data classification handler; an analysis handler; a suggested actions report handler; and the system further includes a server database configured for storing, modifying, and deleting data.

Abstract: A computer-implemented method of optimizing at least one of a design, production and testing process in a mass manufacturing process includes steps of: collecting error data relating to a product at a plurality of points along its design, production, and distribution chain; classifying the error data into categories of errors to provide classifier error data; analyzing relationships among the classified error data; producing an analysis report; and recommending modifications to an end user for at least one of the design, production, delivery, and testing process based on the analysis report.

Abstract: A computer-implemented method of optimizing a design of a product in a mass manufacturing process includes steps of: collecting error data relating to a product; classifying the error data into categories of errors to provide classifier error data; analyzing relationships among the classified error data; producing an analysis report; and recommending modifications to an end user for the design of the product.

Abstract: A method to create an instance of a defect-based production and testing process analysis machine (DPTPAM) provides continual process improvement based on foundational questions and classified defect data. The method includes the following steps: obtaining domain specific questions; developing a domain specific classification scheme that supports the answering of the foundational and domain specific questions; determining a method of using the domain specific classification scheme to answer both the foundational and domain specific questions; and creating a domain specific DPTPAM instance embodying the domain specific classification scheme and the method of answering the foundational and domain specific questions. The method can be implemented with a machine and a computer readable medium comprising logic for performing the method.

Abstract: A method to create an instance of a defect-based production and testing process analysis machine (DPTPAM) provides continual process improvement based on foundational questions and classified defect data. The method includes the following steps: obtaining domain specific questions; developing a domain specific classification scheme that supports the answering of the foundational and domain specific questions; determining a method of using the domain specific classification scheme to answer both the foundational and domain specific questions; and creating a domain specific DPTPAM instance embodying the domain specific classification scheme and the method of answering the foundational and domain specific questions. The method can be implemented with a machine and a computer readable medium comprising logic for performing the method.

Abstract: A system, method and computer program product for requirements management. Particularly, a requirements management scheme performs at least the following functions: 1) it guides a team through the requirements process and provides a structure for collecting “requests”. By using the scheme, team members are prompted to think about and record relevant information that will help clarify and complete requests; and, 2) the scheme allows users to use the attributes throughout the development process to identify risk and make improvements to their process. Many of these attributes can be refined during the development phase or even later. Besides helping team members achieve continuous improvement in their requirements process by providing a set of data and metrics for collection and assessment, the scheme enables an organization to effectively manage their requirements as well as manage changes to those requirements.

Abstract: A computer-implemented method of optimizing at least one production or testing processes in a mass manufacturing industry, includes steps of: collecting error data relating to a product at a plurality of points along its production and distribution chain; classifying the error data into categories of errors to provide classified error data; analyzing relationships among the classified error data; and suggesting modifications to at least one of the production or testing processes based on the analysis.

Abstract: A method, information processing system and computer readable medium for assessing risk in a software development project. The method includes receiving software project data for assessing risks in a software development project and identifying a plurality of focus areas for analysis. The method further includes defining a set of analysis tasks for each focus area and creating one or more rule sets for each analysis task, each rule set comprising one or more rules including software project data. The method further includes evaluating each rule set against the software project data summarizing results of evaluating each rule set corresponding to an analysis task. The method further includes providing a risk assessment value for each analysis task using the results of the summarizing element.