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MBRP: Model-based Requirements Prioritization Using PageRank Algorithm
Research Institutes of Sweden Västerås, Sweden.
National University of Computer & Emerging Sciences Islamabad, Pakistan.
National University of Computer & Emerging Sciences Islamabad, Pakistan.
Research Institutes of Sweden Västerås, Sweden.ORCID iD: 0000-0002-1512-0844
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2019 (English)In: Asia-Pacific Software Engineering Conference APSEC 2019, 2019, p. 31-38, article id 8945656Conference paper, Published paper (Refereed)
Abstract [en]

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.

Place, publisher, year, edition, pages
2019. p. 31-38, article id 8945656
Keywords [en]
requirement prioritization, requirements interdependencies, meta-model, page-rank
National Category
Engineering and Technology Computer Systems
Identifiers
URN: urn:nbn:se:mdh:diva-45498DOI: 10.1109/APSEC48747.2019.00014ISI: 000517102200005Scopus ID: 2-s2.0-85078206011ISBN: 9781728146485 (print)OAI: oai:DiVA.org:mdh-45498DiVA, id: diva2:1366257
Conference
Asia-Pacific Software Engineering Conference APSEC 2019, 02 Dec 2019, Putrajaya, Malaysia
Projects
ARRAY - Automation Region Research AcademyXIVT - eXcellence in Variant TestingAvailable from: 2019-10-28 Created: 2019-10-28 Last updated: 2022-11-09Bibliographically approved
In thesis
1. Requirements-Level Reuse Recommendation and Prioritization of Product Line Assets
Open this publication in new window or tab >>Requirements-Level Reuse Recommendation and Prioritization of Product Line Assets
2021 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

Software systems often target a variety of different market segments. Targeting varying customer requirements requires a product-focused development process. Software Product Line (SPL) engineering is one possible approach based on reuse rationale to aid quick delivery of quality product variants at scale. SPLs reuse common features across derived products while still providing varying configuration options. The common features, in most cases, are realized by reusable assets. In practice, the assets are reused in a clone-and-own manner to reduce the upfront cost of systematic reuse. Besides, the assets are implemented in increments, and requirements prioritization also has to be done. In this context, the manual reuse analysis and prioritization process become impractical when the number of derived products grows. Besides, the manual reuse analysis process is time-consuming and heavily dependent on the experience of engineers.

In this licentiate thesis, we study requirements-level reuse recommendation and prioritization for SPL assets in industrial settings. We first identify challenges and opportunities in SPLs where reuse is done in a clone-and-own manner.  We then focus on one of the identified challenges: requirements-based SPL assets reuse and provide automated support for identifying reuse opportunities for SPL assets based on requirements. Finally, we provide automated support for requirements prioritization in the presence of dependencies resulting from reuse.

Place, publisher, year, edition, pages
Västerås: Mälardalen University, 2021
Series
Mälardalen University Press Licentiate Theses, ISSN 1651-9256 ; 306
National Category
Embedded Systems
Research subject
Computer Science
Identifiers
urn:nbn:se:mdh:diva-53667 (URN)978-91-7485-504-3 (ISBN)
Presentation
2021-05-05, Lambda + Teams, Mälardalens högskola, Västerås, 13:15 (English)
Opponent
Supervisors
Funder
Vinnova, XIVTKnowledge Foundation, ARRAY
Available from: 2021-04-07 Created: 2021-03-19 Last updated: 2021-04-24Bibliographically approved

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Abbas, MuhammadSaadatmand, MehrdadEnoiu, Eduard PaulSundmark, Daniel

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  • asciidoc
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