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MBRP :
MBRP : Model-Based Requirements Prioritization Using PageRank Algorithm
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- Abbas, Muhammad (author)
- RISE,SICS,Industriella system,Smart Industrial Automation,Research Institutes of Sweden Västerås, Sweden
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- Inayat, I. (author)
- National University of Computer and Emerging Sciences, Pakistan,National University of Computer & Emerging Sciences Islamabad, Pakistan
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- Jan, N. (author)
- National University of Computer and Emerging Sciences, Pakistan,National University of Computer & Emerging Sciences Islamabad, Pakistan
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- Saadatmand, Mehrdad (author)
- RISE,SICS,Research Institutes of Sweden Västerås, Sweden
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- Enoiu, Eduard Paul, PhD (author)
- Mälardalens högskola,Inbyggda system
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- Sundmark, Daniel (author)
- Mälardalen University, Sweden,Mälardalens universitet, Inbyggda system
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(creator_code:org_t)
- IEEE conference proceedings, 2019
- 2019
- English.
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In: 2019 26th Asia-Pacific Software Engineering Conference (APSEC). - : IEEE conference proceedings. - 9781728146485 ; , s. 31-38
- Related links:
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http://www.es.mdu.se...
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https://doi.org/10.1...
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https://urn.kb.se/re...
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https://doi.org/10.1...
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https://urn.kb.se/re...
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https://urn.kb.se/re...
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Abstract
Subject headings
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- Requirements prioritization plays an important role in driving project success during software development. Literature reveals that existing requirements prioritization approaches ignore vital factors such as interdependency between requirements. Existing requirements prioritization approaches are also generally time-consuming and involve substantial manual effort. Besides, these approaches show substantial limitations in terms of the number of requirements under consideration. There is some evidence suggesting that models could have a useful role in the analysis of requirements interdependency and their visualization, contributing towards the improvement of the overall requirements prioritization process. However, to date, just a handful of studies are focused on model-based strategies for requirements prioritization, considering only conflict-free functional requirements. This paper uses a meta-model-based approach to help the requirements analyst to model the requirements, stakeholders, and inter-dependencies between requirements. The model instance is then processed by our modified PageRank algorithm to prioritize the given requirements. An experiment was conducted, comparing our modified PageRank algorithm's efficiency and accuracy with five existing requirements prioritization methods. Besides, we also compared our results with a baseline prioritized list of 104 requirements prepared by 28 graduate students. Our results show that our modified PageRank algorithm was able to prioritize the requirements more effectively and efficiently than the other prioritization methods.
Subject headings
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Sciences (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Datorsystem (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Computer Systems (hsv//eng)
Keyword
- requirement prioritization
- requirements interdependencies
- meta model
- page-rank
Publication and Content Type
- ref (subject category)
- kon (subject category)
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