Values allotted by each stakeholder for each requirement against each one, among five decision aspects were populated in Prioritization matrix.
The proposal gives a prioritization method that not only considers the decision aspects like customer satisfaction and cost but also takes into consideration regression testing efforts.
Table 3 Weight assigned to decision aspects used in the technology selection (own elaboration) Economic Technical Environmental BAU 3 2 1 CR 2 1 3 MI 3 2 1. Variables used in the evaluation include: 1. Technical aspects (a) Quantity of residual waste sent to landfill after treatment (b) Quantity of compost produced (c) Quantity of metals recovered (d) Quantity of energy recovered 2.
From the list of decision aspects important in determining if public engagement should be undertaken, participants will be asked to rank the factors from 1 (most important) to 10 (least important).
In this paper, we describe an extended Service-Oriented Architecture - SOAda for supporting a decision aspect.
Paper [7] reported direct influence of decision aspect prioritization on requirement prioritization and hence on regression testing.
To report the dependency between these experimental variables, decision aspect prioritization technique as proposed in [9] and requirement prioritization process as proposed in [5] were employed on the experimental unit.
The main findings of the paper were that effectiveness in decision aspect prioritization will bring improvement in a requirement prioritization process, which reduces the number of regression test cases, without decreasing the fault detection capability.
Each requirement is considered individually one by one decision aspect wise, where preference values are multiplied by weight of stakeholders that had allotted the value and finally added to the product of weight and preference of another stakeholder.
Other than the previous study, the current work focuses on the decision aspect of the overall paradigm since the subjects were instructed to decide which of two subsequently presented emotional adjectives best described the mood observed in the previously seen face.
