Abstract: Test coverage is enhanced by measuring various types of coupling between coverage tasks. The coupling measurements may be implicit coupling measurements, explicit coupling measurements, coding coupling measurements, performance coupling measurements, resource coupling measurements or the like. Based on the coupling measurements, different coverage tasks may be grouped together. For example, closely coupled coverage tasks may be grouped together. The groups may also be determined based on an initial distribution of groups, by combining groups having closely coupled member coverage tasks. The groups may be ordered and prioritized, such as based on the size of the groups and the number of uncovered tasks in each group. The groups may also be ordered, such as based on coupling score which aggregate the coupling measurements of the member coverage tasks.

Abstract: Test coverage is enhanced by measuring various types of coupling between coverage tasks. The coupling measurements may be implicit coupling measurements, explicit coupling measurements, coding coupling measurements, performance coupling measurements, resource coupling measurements or the like. Coupling scores are calculated for coverage tasks and based thereon ranking of the coverage tasks or groups of coverage tasks may be determined The ranking may be utilized in selecting for which uncovered coverage task a test should be designed. The ranking may be utilized in computing a coverage measurement of a test suite. The ranking may be utilized to rank tests, based on the coverage tasks each test covers. Ranking of tests may be utilized for various purposes such as performing test selection.

Abstract: A functional coverage model may be generated based on a trace. The functional coverage model may comprise values of attributes. The values may be extracted from one or more entries comprised by the trace. Based upon a selection of a field of an exemplary entry, content of the corresponding fields in other entries may be extracted and utilized. In some exemplary embodiments, names of attributes may be extracted from the trace. In some exemplary embodiments, a reference trace may be utilized as a comparative baseline coverage by generating a functional coverage model based upon the reference trace and comparing coverage of a second trace in respect to the functional coverage model with the coverage of the reference trace.

Abstract: A meta attribute useful for functional coverage is computed based on values comprised by two or more matching fields in a trace. The two or more matching fields may be comprised by a single entry of the trace or by a plurality of entries of the trace. A definition of the meta attribute may define which fields of the entries comprise values useful for computation of the meta attributes. The matching entries may be identified based on identifying values within the entries.

Abstract: Test coverage is enhanced by measuring various types of coupling between coverage tasks. The coupling measurements may be implicit coupling measurements, explicit coupling measurements, coding coupling measurements, performance coupling measurements, resource coupling measurements or the like. Coupling scores are calculated for coverage tasks and based thereon ranking of the coverage tasks or groups of coverage tasks may be determined The ranking may be utilized in selecting for which uncovered coverage task a test should be designed. The ranking may be utilized in computing a coverage measurement of a test suite. The ranking may be utilized to rank tests, based on the coverage tasks each test covers. Ranking of tests may be utilized for various purposes such as performing test selection.

Abstract: Test coverage is enhanced by measuring various types of coupling between coverage tasks. The coupling measurements may be implicit coupling measurements, explicit coupling measurements, coding coupling measurements, performance coupling measurements, resource coupling measurements or the like. Based on the coupling measurements, different coverage tasks may be grouped together. For example, closely coupled coverage tasks may be grouped together. The groups may also be determined based on an initial distribution of groups, by combining groups having closely coupled member coverage tasks. The groups may be ordered and prioritized, such as based on the size of the groups and the number of uncovered tasks in each group. The groups may also be ordered, such as based on coupling score which aggregate the coupling measurements of the member coverage tasks.

Abstract: A meta attribute useful for functional coverage is computed based on values comprised by two or more matching fields in a trace. The two or more matching fields may be comprised by a single entry of the trace or by a plurality of entries of the trace. A definition of the meta attribute may define which fields of the entries comprise values useful for computation of the meta attributes. The matching entries may be identified based on identifying values within the entries.

Abstract: A functional coverage model may be generated based on a trace. The functional coverage model may comprise values of attributes. The values may be extracted from one or more entries comprised by the trace. Based upon a selection of a field of an exemplary entry, content of the corresponding fields in other entries may be extracted and utilized. In some exemplary embodiments, names of attributes may be extracted from the trace. In some exemplary embodiments, a reference trace may be utilized as a comparative baseline coverage by generating a functional coverage model based upon the reference trace and comparing coverage of a second trace in respect to the functional coverage model with the coverage of the reference trace.