The present invention relates to a testing tool for testing of complex software systems having a plurality of interrelated system components and a suite of test scenarios for testing the performance of the plurality of interrelated system components. The testing tool includes an Automated Multidimensional Traceability Matrix system for determining linkages between interrelated system components, a means for identifying a change in one or more of the interrelated system components, a means for applying the Automated Multidimensional Traceability Matrix, a means for executing all of or a subset of the test scenarios associated with the interrelated system components that may be affected by the change and a means for evaluating the results of the executed test scenarios.

Testing tool comprising an automated multidimensional traceability matrix for implementing and validating complex software systems

A computer-implemented method and system for assessing the overall risk in at least part of an information technology system includes inputting into a risk assessment database a plurality of identified risks in a system; associating the risks to at least one severity band in a risk echelon; assigning a value to each risk; multiplying each risk value by a coefficient factor; and summing the factored risk values to determine the overall risk. The method preferably includes modifying the security implementation of the information technology system and determining the modified overall risk. The system preferably includes an automated vulnerability detection scanner to gather risk information, which is stored on a database and used in calculating the overall risk.

Overall risk in a system

A method and system for assessing risks associated with software systems include the steps of dynamically retrieving, from a plurality of external database systems, a set of risk factor data associated with the components of the software systems, and determining risk values of the components, respectively, based on a predefined risk model and the retrieved risk factor data. The retrieved risk factor data represents a multi-dimensional view of the potential risks associated with the components, and may include two or more of code complexities, architectural relationships, fault histories, development activities, designer profiles, component contention, and/or usage profiles of the software components. The risk model includes a set of risk relations that associate the retrieved risk factor data with the risk values of the components. The risk relations may be defined by correlating historical risk factor data with actual risk measurements of the components using statistical or other quantitative methods. Alternatively, the risk relations may be defined by a set of rules, which associate the retrieved risk factor data with the risk values of the components.

Method and system for dynamic risk assessment of software systems

A quantitative risk assessment system (QRAS) builds a risk model of a system for which risk of failure is being assessed, then analyzes the risk of the system corresponding to the risk model. The QRAS performs sensitivity analysis of the risk model by altering fundamental components and quantifications built into the risk model, then re-analyzes the risk of the system using the modifications. More particularly, the risk model is built by building a hierarchy, creating a mission timeline, quantifying failure modes, and building/editing event sequence diagrams. Multiplicities, dependencies, and redundancies of the system are included in the risk model. For analysis runs, a fixed baseline is first constructed and stored. This baseline contains the lowest level scenarios, preserved in event tree structure. The analysis runs, at any level of the hierarchy and below, access this baseline for risk quantitative computation as well as ranking of particular risks. A standalone Tool Box capability exists, allowing the user to store application programs within QRAS.

https://ntrs.nasa.gov/api/citations/20080004905/downloads/20080004905.pdf

Quantitative risk assessment system (QRAS)

A metric collector (530) provides a list of available metrics related to software development, test, and load building for the user's selection. A suite of tools (532) are executed in response to the user's selection to access a number files for data and to compute the selected metrics. A report is then generated to summarize the computed metrics.

Software release metric reporting system and method

A method and system for providing a software tool that aids on the current state of the art of systems engineering of large software systems. The process begins with the step of gathering data on observations of a large number of characteristics about a software system (including historical and planned system adjustments) for each uniquely identifiable software component. Also gathered are historical data regarding faults or problems with each software component. The fault data is statistically mapped to measured characteristics of the software to establish a risk index. The risk index can be used as a predictive tool establishing which characteristics of the software are predictive of the software's performance or, alternatively, the risk index may be used to rank order the components to determine which components need less testing in a effort to save resources.

Method and system for conducting statistical quality analysis of a complex system

A method and system for providing a software tool that aids the state of the art system engineering of large software systems. The process begins with the step of gathering data (20) on observations of a large number of characteristics about a software system (10), including a historical and planned system adjustments, for each uniquely identifiable software component. Also gathered are historical data regarding faults or problems with each software component. The fault data is statistically mapped (30) to measured characteristics of the software to establish a risk index. The characteristics of the software are predictive of the software's performance or, alternatively, the risk index may be used to rank order the components to determine which components need less testing in an effort to save resources.

Method and system for an architecture based analysis of software quality

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Method and system for conducting statistical quality analysis of a complex system

Method and system for an architecture based analysis of software quality