ANOVA Based Significance Testing of Non-functional Requirements in Software Engineering

2019 ◽  
Vol 10 (4) ◽  
pp. 100-117
Author(s):  
Harsimran Kaur ◽  
Ashish Sharma
Keyword(s):  
Analytic Hierarchy Process ◽  
Primary Objective ◽  
Significance Testing ◽  
Software System ◽  
Functional Requirements ◽  
System Software ◽  
Analytic Hierarchy ◽  
Interpretive Structural Modeling ◽  
Trade Off ◽  
Hierarchy Process

Non-functional requirements (NFRs) demonstrate how the software system works, though functional requirements represent the tasks of the system (software system). It does not indicate that the latter is more significant, but a majority of requirement collecting approaches emphasis on functional requirements. Therefore, due to the subjective nature and complexity of NFRs, it is relatively impractical to focus on each NFRs. The primary objective of this article is to model NFRs in the form of a Soft Goal Interdependency Digraph (SID). The SID is based on the Interpretive Structural Modeling (ISM) technique which in turn employs the Matrices Impacts Cruise's Multiplication Applique a UN Casement (MICMAC) and Analytic Hierarchy Process (AHP) techniques for the identification of significant NFRs. Therefore, the proposed method allows the analysts and developers to monitor and select best possible trade off selections between NFRs. To evaluate the significance of the proposed technique over others, Analysis of variance (ANOVA) based significance testing is also implemented.

scholarly journals Analytic Hierarchy Process-Based Airport Ground Handling Equipment Purchase Decision Model

2021 ◽  
Vol 13 (5) ◽  
pp. 2540
Author(s):  
Yu-Jwo Tao ◽  
Hsuan-Shih Lee ◽  
Chang-Shu Tu
Keyword(s):  
Analytic Hierarchy Process ◽  
Decision Model ◽  
Primary Objective ◽  
Fuzzy Linear Programming ◽  
Purchase Decision ◽  
Analytic Hierarchy ◽  
Proposed Model ◽  
Ground Handling ◽  
Equipment Supplier ◽  
Hierarchy Process

The Airport ground handling services (AGHS) equipment supplier provider selection requires a safety guarantee in terms of the daily operations AGHS provider. AGHS providers seek to avoid aircraft damage and airline delays and ensure the provision of reliable and high-quality services. The primary objective of this paper was to develop purchasing decision model of the analytic hierarchy process (AHP), AHP-fuzzy linear programming (FLP), and AHP-Taguchi loss function (TLF) multi-choice goal programming (MCGP) purchase decision models to help the AGHS purchasing managers in selecting the best AGHS equipment supplier provider. The constructed models were assessed, and results obtained for the AHP-FLP and AHP-TLF-MCGP models were compared. We conducted a real-world example of supplier selection by an AGHS company by using the proposed models. The proposed model provides useful information and has practical value for AGHS providers.

scholarly journals Evaluating Passenger Demand for Development of the Urban Transport System by an AHP Model with the Real-World Application of Amman

2019 ◽  
Vol 9 (22) ◽  
pp. 4759 ◽  
Author(s):  
Ahmad Alkharabsheh ◽  
Sarbast Moslem ◽  
Szabolcs Duleba
Keyword(s):  
Analytic Hierarchy Process ◽  
Transport System ◽  
Public Transport ◽  
Market Competition ◽  
Quality Criteria ◽  
Primary Objective ◽  
Urban Transport ◽  
Analytic Hierarchy ◽  
The Public ◽  
Hierarchy Process

The demand for a service includes generally two major components; quality elements and the reasonable and affordable price. Public transport can be considered as a special service, there is no direct market competition for the provider, but the use of private transport modes substitutes the usage of public vehicles. The dominating competitor, the usage of private cars, causes higher CO2 emission and has a serious impact on the environment. Thus, it is important to analyze from market and sustainability point of view which are the preferences of the public for the improvement of the urban transport system. This paper aims to conduct this analysis by including quality criteria and transport fare criteria related to the current service of a city and by setting up and testing a generally applicable model for decision support. Since the acquisition of public preference was the primary objective, and the problem can be considered as decision making, the Analytic Hierarchy Process was selected as methodology. There are previous research results of applying this method on public transport, however, not in an integrated model, in which quality and cost considerations are pairwise compared. Thus, the conventional Analytic Hierarchy Process (AHP) technique was used and the well-proven requisites of consistency and sensitivity check were analyzed. The new model was tested in a case study: surveying the public transport demand in the capital of Jordan, Amman.

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