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 system for providing a skill level assessment of a developer of a given object, based on defects found in the object, includes: a processor configured for: receiving the object; obtaining at least one requirement associated with the object; obtaining at least one requirement associated with the developer of the object; finding defects in the object, based on the at least one requirement; mapping the defects found to a listing of actions; creating the skill level assessment of the developer using the mapped defects; and presenting the assessment to a user of the method. The system also includes a network interface, storage, and memory. In addition, logic stored in memory includes an obtain objects handler; a requirements assessment handler; a code analysis handler; a skill level handler; a report handler; and a development skill assessment database.

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; classifying the error data into categories of symptoms; mapping the symptom to a revealing condition of the product; mapping the revealing condition to a test type; mapping a scope of a fix to phases of error injection mapping; and recommending modifications to an end user for at least one of the design, production, delivery, and testing process based on the scope of the fix.

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; classifying the error data into categories of symptoms; mapping the symptom to a revealing condition of the product; mapping the revealing condition to a test type; mapping a scope of a fix to phases of error injection mapping; and recommending modifications to an end user for at least one of the design, production, delivery, and testing process based on the scope of the fix.

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 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 system for providing a skill level assessment of a developer of a given object, based on defects found in the object, includes: a processor configured for: receiving the object; obtaining at least one requirement associated with the object; obtaining at least one requirement associated with the developer of the object; finding defects in the object, based on the at least one requirement; mapping the defects found to a listing of actions; creating the skill level assessment of the developer using the mapped defects; and presenting the assessment to a user of the method. The system also includes a network interface, storage, and memory. In addition, logic stored in memory includes an obtain objects handler; a requirements assessment handler; a code analysis handler; a skill level handler; a report handler; and a development skill assessment database.

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.