Requirement prioritization based on non-functional requirement classification using hierarchy AHP
Requirement prioritization is a process in requirement engineering, which is a part of software development life cycle (SDLC). Requirement is prioritized due to constraints such as budget, time and resource allocation. Requirements of software is often classified as functional requirements (FR), and...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Conference or Workshop Item |
| Language: | English English |
| Published: |
IOP Publishing
2020
|
| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/28001/1/Requirement%20Prioritization%20Based%20on%20Non-Functional%20Requirement%20Classification%20Using%20Hierarchy%20AHP.pdf http://umpir.ump.edu.my/id/eprint/28001/2/Requirement%20Prioritization%20Based%20on%20Non-Functional%20Requirement%20Classification%20Using%20Hierarchy%20AHP.pdf http://umpir.ump.edu.my/id/eprint/28001/ https://doi.org/10.1088/1757-899X/769/1/012060 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Institution: | Universiti Malaysia Pahang |
| Language: | English English |
| Summary: | Requirement prioritization is a process in requirement engineering, which is a part of software development life cycle (SDLC). Requirement is prioritized due to constraints such as budget, time and resource allocation. Requirements of software is often classified as functional requirements (FR), and non-functional requirement (NFR). In order to produce a high-quality software, both requirement must be considered during requirement prioritization process. Various prioritization techniques have been invented, and Analytical Hierarchical Prioritization (AHP) is the most popular technique that has been cited. However, AHP does not support the NFR and unscalable. Meanwhile, Hierarchy-AHP has been introduced unto increase the scalability of AHP by using hierarchical requirements as input. Nevertheless, hierarchy-AHP does not meant for NFR and experimental result for increasing the scalability is not received significant attention. Thus, we intend to use NFR with large dataset on hierarchy-AHP. Aim of this paper is an exploration of hierarchy-AHP experimenting on RALIC dataset. Our major findings are: (i) NFR can be used hierarchy-AHP with minor process amendment, and (ii) hierarchy-AHP able to reduce pairwise comparison which is up to 97.33% for 403 number of requirements, compared to original AHP. |
|---|