Study of aggregation algorithms for aggregating imprecise software requirements’ priorities

Voola, Persis; Babu, A. Vinaya

doi:10.1016/j.ejor.2016.11.040

Cited by 10 publications

(5 citation statements)

References 24 publications

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“…This technique is a manual method, which is suitable for small‐size to medium‐size requirements. A similar method with this is numerical assignment where three categories of requirements are made and requirements are assigned to these groups 24 . Inside group, priority of all requirements is consider the same while groups are prioritized.…”

Section: Resultsmentioning

confidence: 99%

Exploratory study of existing research on software requirements prioritization: A systematic literature review

Yaseen

2023

J Software Evolu Process

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Requirements prioritization is giving priority to software requirements on the basis of its importance. The current research paper addresses the importance and limitations of existing research on requirements prioritization. A lot of requirements prioritization techniques are presented by authors, but these techniques have certain limitations. Not all techniques are either applied or suitable to prioritize all types of requirements. Similarly, in these techniques, only few are scalable for large size requirements. The objective of the current research is to identify all possible software requirements prioritization techniques and to show the suitability of these techniques to prioritize different types and sizes of requirements. To achieve research objectives, a systematic literature review (SLR) is carried out. In conducting SLR, planned protocol is designed, which include all the necessary steps necessary for SLR process. As a result of SLR, 60 primary studies were selected for data extraction as a result of SLR. Outcome of SLR shows that not all techniques are scalable to prioritize any size requirements. Also, there are few techniques found that are either applied on all types of requirements or not suitable to prioritize all types of requirements as these techniques are specifically designed for particular types of requirements.

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Section: Resultsmentioning

confidence: 99%

Exploratory study of existing research on software requirements prioritization: A systematic literature review

Yaseen

2023

J Software Evolu Process

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“…In terms of computational complexity, Bajaj et al [55 ] computed the computational complexity of the different stages of their requirements prioritisation technique using the Big‐O notation. Voola and Babu [47 ] established that multiple attribute utility theory aggregation algorithm was linear in processing complexity, whereas laplace evidential reasoning and interval evidential reasoning algorithms had O ( n 2 ) and O (2 n ) computational complexities, respectively. Finally, Thakurta [61 ] used the Big‐O notation to establish that analytical hierarchical process (AHP) suffers from scalability issues as the number of requirements increase, while the author's requirements prioritisation technique (a quantitative framework) was found to be linear.…”

Section: Resultsmentioning

confidence: 99%

Understanding requirements prioritisation: literature survey and critical evaluation

2020

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Requirements prioritisation deals with the ranking or classification of user requirements based on their importance. This process is central to releasing a software product with features most favoured by users. While studies have explored the efforts that are dedicated to this cause, these tend to focus on a subset of the solutions that are available in the software engineering domain. Current techniques investigated in the software engineering domain do not consider the strengths inherent in requirements prioritisation techniques developed in other disciplines (e.g. product manufacturing), a gap that should be addressed. The authors thus conducted a comprehensive systematic mapping study and critical evaluation of studies that have provided implementations of requirements prioritisation techniques across multiple disciplines (including software engineering, product manufacturing, and engineering). Among their findings, they observed that while many solutions are targeted, quite often researchers have proposed solutions that were not evaluated. Most solutions were only validated as being operational, and the attributes studied had limited effects on performance outcomes. Their evidence suggests that new techniques may address the requirements prioritisation challenge if they are inspired by hybrid approaches developed across multiple disciplines. In addition, performance trade‐offs are to be expected of such techniques, depending on their performance targets.

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“…The form of the selected utility function is chosen by the decision-maker but it must be monotonic and continuous (Olson, 1997). According to the literature works, three main forms are identified: exponential (Kim and Song, 2009), linear (Voola and Vinaya Babu, 2017), and power (Fonseca et al, 2020;Benyahia et al, 2011) forms. The latter form has been chosen in this work, and the individual utility functions are expressed as follows:…”

Section: Multi-criteria Decision-making Methodsmentioning

confidence: 99%

CFD-based geometrical shape optimization of a packed-bed reactor combining multi-objective and adjoint system methods

Courtais

Lesage

Privat

et al. 2023

Chemical Engineering Science

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Study of aggregation algorithms for aggregating imprecise software requirements’ priorities

Cited by 10 publications

References 24 publications

Exploratory study of existing research on software requirements prioritization: A systematic literature review

Exploratory study of existing research on software requirements prioritization: A systematic literature review

Understanding requirements prioritisation: literature survey and critical evaluation

CFD-based geometrical shape optimization of a packed-bed reactor combining multi-objective and adjoint system methods

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