Abstract
Requirement assessment and prioritization are the crucial requirement engineering processes in the software development domain. However, software developers face challenges with various types and categories of requirements due to generality, time, and cost. However, Various techniques are proposed for requirement prioritization, such as hierarchical analytic process (AHP), MOSCOW, cumulative voting (CV), bubble sort, and binary search tree (BST). These techniques are still unreliable for prioritizing a considerable number of requirements which takes a long time. Therefore, there is a crucial need for a reliable and consistent approach that helps deal with functional and non-functional requirements assessment and prioritization, such as the Evidential Reasoning (ER) approach. The study findings showed how the requirements assessment and prioritization process improved according to their weights, evaluation grades, and belief degrees. In addition to the decision matrices that lead to high-quality decisions.
*Supported by Zarqa University.
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This research is funded by the Deanship of Research and Graduate Studies at Zarqa University /Jordan.
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Nabot, A., Aljawawdeh, H., Al-Qerem, A., Al-Qerem, M. (2023). Software Quality Attributes Assessment and Prioritization Using Evidential Reasoning (ER) Approach*. In: Nedjah, N., Martínez Pérez, G., Gupta, B.B. (eds) International Conference on Cyber Security, Privacy and Networking (ICSPN 2022). ICSPN 2021. Lecture Notes in Networks and Systems, vol 599. Springer, Cham. https://doi.org/10.1007/978-3-031-22018-0_17
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