E-AHP: An Enhanced Analytical Hierarchy Process Algorithm for Priotrizing Large Software Requirements Numbers

Abstract

One of the main activities of software requirements analysis is requirements prioritization. The wrong requirements prioritization is risky as it leads to many software failures. The current requirements prioritization techniques can't deal with large requirement numbers efficiently, which is considered one of their main issues. Many researchers have agreed that the analytical hierarchy process (AHP) is one of the best prioritization techniques as it produces highly accurate results. AHP has two main problems: scalability and inconsistency. These problems have motivated us to propose an improved version of AHP for software requirements prioritization, namely Enhanced AHP (E-AHP). A performance evaluation has been done for the conventional AHP, E-AHP, and one of the recent algorithms that also try to solve the AHP scalability problems, namely removing eigenvalues and introducing the dynamic consistency checking algorithm into AHP (ReDCCahp) algorithmsThe evaluation shows which algorithm takes the least time, uses the least memory, produces the most consistent and accurate results, and has the highest scalability. The three algorithms have been evaluated by running their codes using different numbers of requirements ranging from 10 to 500. The results show that E-AHP is more scalable, takes the least time, uses the least memory, and produces the most consistent and accurate results compared to the other two algorithms. That becomes remarkable when the number of requirements increases. Therefore, E-AHP is suitable to be applied in large software projects, as it can deal efficiently with the large software requirements numbers.

Literatur Review: Penerapan Metode Analytic Hierarchy Process Sebagai Teknik Prioritas Kebutuhan Perangkat Lunak

“…Nilai dari kebutuhan yang dibandingkan berdasarkan data yang jelas (nyata), pengalaman, dan intuisi (Fernandes et al, 2015). Dengan cara penentuan tersebut, AHP menjadi salah satu teknik yang mempunyai tingkat keandalan yang baik (Mohamed et al, 2022a). Namun di sisi lain AHP juga memiliki beberapa kelemahan.…”

“…AHP merupakan salah satu teknik penentuan prioritas kebutuhan terbaik karena menghasilkan hasil yang sangat akurat (Mohamed et al, 2022b). Namun AHP masih mempunyai keterbatasan yang dapat berpengaruh pada keefektifan penerapannya.…”