Functional Suitability Sample Clauses

Functional Suitability. Degree to which a product or system provides functions that meet stated and implied needs when used under specified conditions 1. Measurement function: FS=( X+Y+Z) / 2( where X,Y are the scores computed as in the following FS = Functional Suitability X = Functional Completeness Y = Functional Correctness 2. Interpretation of test results: FS value closer to 1 is better

Functional Suitability. In order to test the functional suitability of the implemented functionalities, the NOMAD platform has been used by developers and IT experts to identify the prototype behaviour with respect the planned one and to check whether the user requirements, as they are presented in the NOMAD Deliverable D2.2[2], and the functional requirements, as they are presented in the NOMAD Deliverable D6.1[1], have been addressed. The testing process follows a number of test use cases, which are iteratively repeated. These tests should be successfully accomplished from the NOMAD platform and in all iterations they should provide the same results. The test cases relate to the NOMAD requirements and for each of them the result of the testing process is reported. For all the test cases, the http client of the NOMAD platform prototype has been used as the method for observation testing, while direct access to the logs of the NOMAD Server ensure that the intended use of the functionalities is performed (with no programming level exceptions to be occurred).

Functional Suitability. Degree to which a product or system provides functions that meet stated and implied needs when used under specified conditions 1. Measurement function: FS=( X+Y+Z) / 3( where X,Y,Z are the scores computed as in the following 2. Interpretation of test results: FS value closer to 1 is better degree to which the set of functions covers all the specified tasks and user objectives 1. Possible Measure: Functional implementation coverage 2. Description of the measure: How complete is the implementation according to requirement specifications? 3. Measurement function: X=(X1+X2*0.5+X3*0.25)/1.75 with X1=1-(A/B) where A= Number of missing or unsatisfying mandatory functions B= Number of mandatory functions assessed in the evaluation X2= 1-C/D C= Number of missing or unsatisfying desirable functions assessed in the evaluation D= Number of recommended functions X3= 1-E/F E= Number of missing or unsatisfying desirable functions assessed in the evaluation F= Number of desirable functions NOTE: that the evaluation will be calculated by presence/absence of the function in the RO. In particular 0 value is associated to the presence of the function and 1 to its the absence. 4. Interpretation of test results: X value closer to 1 is better Degree to which a product or system provides the correct results with the needed degree of precision. 1. Possible Measure: Correctness of data items 2. Description of the measure: How much the required specific accuracy of data items are complied with? 3. Measurement function: According to the list provided for the Functional Completeness, for each of the implemented functions in the RO, provide a score of correctness among (0, 0.5, 1) where 0= not correct; 0.5 = partially correct; 1= completely correct. Y= A/B where A= sum of the scores of the implemented functions; B= total amount of implemented functions 5. Interpretation of test results: Y value closer to 1 is better Degree to which the functions facilitate the accomplishment of specified tasks and objectives. 1. Possible Measure: functional appropriateness 2. Description of the measure: How many functions with no problem are implemented for the appropriate functions for pursuing a specific task.