Abstract: A system and a method are provided to quantitatively analyze the risk for a risk-based testing of software having at least one module. The risk-based testing comprises obtaining behavior of each module to a set of test cases. The method to quantitatively analyze the risk comprises assigning a confidence weight to each test case for each module based on its test history, assigning a confidence weight to each of a plurality of software specific parameters for each module, calculating a raw confidence level for each module based on the assigned confidence weights to the test cases, and calculating a confidence quotient for each module as a weighted sum of the raw confidence level for each module and the confidence weight for each software specific parameter. The confidence quotient indicates the risk of defects in each module. The module with the smallest confidence quotient is assigned the highest priority during the testing of the software.

Abstract: A method and system for selecting a dynamic object in a Graphical User Interface (GUI), is provided. The GUI is represented by a matrix comprising a plurality of objects and a plurality of data values associated with each object. The method includes selecting a first row that includes a first non null data value in a textually represented matrix derived from the matrix; selecting a row in the textually represented matrix based on a predefined input; calculating the difference in the number of rows between the selected row and the row that includes the first non null data value; selecting a least index key from a plurality of index keys, with each index key identifying each of a plurality of selected objects in the matrix; and locating an object from the plurality of selected objects.

Abstract: A method and system for selecting a dynamic object in a Graphical User Interface (GUI), is provided. The GUI is represented by a matrix comprising a plurality of objects and a plurality of data values associated with each object. The method includes selecting a first row that includes a first non null data value in a textually represented matrix derived from the matrix; selecting a row in the textually represented matrix based on a predefined input; calculating the difference in the number of rows between the selected row and the row that includes the first non null data value; selecting a least index key from a plurality of index keys, with each index key identifying each of a plurality of selected objects in the matrix; and locating an object from the plurality of selected objects.