Towards the selection of Optimum Requirements Prioritization Technique: A Comparative Analysis

Tufail, Hanny; Qasim, Iqra; Masood, Muhammad Faisal; Tanvir, Sara; Butt, Wasi Haider

doi:10.1109/infoman.2019.8714709

Cited by 15 publications

(8 citation statements)

References 7 publications

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“…The MoSCoW prioritisation technique was applied in the first questionnaire administered to the focus group participants, to capture their perspectives on performance measure priorities. The MoSCoW method is one of the oldest and promising prioritisation techniques commonly used in the software engineering discipline (Tufail, Qasim, Masood, Tanvir & Butt, 2019). It's very useful for the hierarchical classification of user requirements and prioritising them relatively fast (Beltman, Vosslamber, Molderink & Noordzij, 2016).…”

Section: Methodsmentioning

confidence: 99%

Adaptations in SCOR based performance metrics of airline catering supply chain during COVID-19 pandemic

Rajaratnam

Sunmola

2021

JIEM

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Purpose: There is the propensity of the Airline catering supply chain to adapt their performance measures in order to meet desired service level due to the challenges of the Covid-19 pandemic. The aim of this paper is to develop a set of metrics for airline catering organization and explore the choices of SCOR based performance metrics during the Covid-19 pandemic.Design/methodology/approach: The SCOR framework is applied in the context of the airline catering supply chain to develop performance metrics. In this case study, the performance metrics model is analysed and validated by experts. Then, metrics are prioritised using MoSCoW method based on the experience of the Covid-19 challenges.Findings: A hierarchical performance measure framework is proposed, and a set of 55 metrics is identified. The validation of these metrics recognises the initial work. With the prioritisation, 13 level-2 & level-3 metrics are considered necessary in addition to 7 level-1 metrics to mitigate Covid-19 pandemic challenges better. Research limitations/implications: This research is based on a single case study. The validation is restricted to a small sample size.Practical implications: With the development of performance metrics and prioritization, airline catering organisation able to monitor their catering logistics performance.Originality/value: The work contributes to the measurement of performance in airline catering logistics, and adapted metrics would help business to be more responsive and flexible as per the market changes to alleviate Covid-19 challenges.

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Section: Methodsmentioning

confidence: 99%

Adaptations in SCOR based performance metrics of airline catering supply chain during COVID-19 pandemic

Rajaratnam

Sunmola

2021

JIEM

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“…Items are typically evaluated on a 0-100 or similar scale, making it easy to quantify their absolute and relative importance. Their ability to order, to determine intervals, relative distances, and ratios between items, and to be used in refined statistical computations, has positioned ratio scale techniques as the most valuable of all prioritisation taxonomies [15,16]. The two most studied ratio-level prioritisation techniques are the analytic hierarchy process (AHP) and cumulative voting (CV).…”

Section: Theoretical Frameworkmentioning

confidence: 99%

Prioritising CAP Intervention Needs: An Improved Cumulative Voting Approach

Cagliero¹,

Bellini

Marcatto

et al. 2021

Sustainability

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The process to define the 2023–2027 Common Agriculture Policy (CAP) is underway. The implementation model governing the process requires each EU Member State to design a National Strategic Plan to deliver operational actions exploiting the synergies under the two pillars of the policy. Each Plan must be built from an evidence-based needs assessment that undergoes rigorous prioritisation and planning to create comprehensive, integrated, and achievable interventions. In Italy, the success of this planning process requires all interested stakeholders to generate options for the regional authorities who plan, manage, and legislate agricultural activities. This research proposes a decision-making technique, based on the cumulative voting approach, that can be used effectively when multiple persons from different backgrounds and perspectives are engaged in problem-solving and needs prioritisation. The results indicate that the model can be applied both theoretically and practically to prioritise Strategic Plan needs that involve national and regional authorities. Validation of the model allows it to be used in the next consultative processes and for expansion to socioeconomic stakeholders.

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“…The prioritization of requirements is one of the critical activities in the requirements analysis process [5], [6]. When the requirements number increases, analysts must organize them to implement the most important ones in the early stages to avoid the high cost of system transformation and rework and achieve user satisfaction according to a pre-specified budget, time, and resources [7].…”

Section: Introductionmentioning

confidence: 99%

“…There are three requirements prioritization technique types [8], [9]: nominal scale techniques, ordinal scale techniques and ratio scale techniques. In the Nominal scale prioritization techniques [7], [10], the users assign each requirement to a priority group, and all requirements in the same group have the same priority [8]. One of the well-known techniques is the Numerical Assignment technique, which categorizes the requirements by distributing them into groups [11]; each group has a number that describes its rank or order among all groups.…”

Section: Introductionmentioning

confidence: 99%

“…Most of the prioritization techniques can't deal with large requirements numbers and produce accurate results at the same time [2], [5], [9], [11], [13], [14], [15]. Researchers [2], [7], [9], [11], [12], [14], [15] agreed that AHP is the most accurate prioritization technique, as it is a mathematical-based method and produces highly accurate results. But they found that AHP is suitable to be used only if the requirements number is small; otherwise, it is not good as it is not scalable and sometimes suffers from inconsistency problems.…”

Section: Introductionmentioning

confidence: 99%

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E-AHP: An Enhanced Analytical Hierarchy Process Algorithm for Priotrizing Large Software Requirements Numbers

Mohamed¹,

Mazen²,

Helmy³

2022

IJACSA

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One of the main activities of software requirements analysis is requirements prioritization. The wrong requirements prioritization is risky as it leads to many software failures. The current requirements prioritization techniques can't deal with large requirement numbers efficiently, which is considered one of their main issues. Many researchers have agreed that the analytical hierarchy process (AHP) is one of the best prioritization techniques as it produces highly accurate results. AHP has two main problems: scalability and inconsistency. These problems have motivated us to propose an improved version of AHP for software requirements prioritization, namely Enhanced AHP (E-AHP). A performance evaluation has been done for the conventional AHP, E-AHP, and one of the recent algorithms that also try to solve the AHP scalability problems, namely removing eigenvalues and introducing the dynamic consistency checking algorithm into AHP (ReDCCahp) algorithmsThe evaluation shows which algorithm takes the least time, uses the least memory, produces the most consistent and accurate results, and has the highest scalability. The three algorithms have been evaluated by running their codes using different numbers of requirements ranging from 10 to 500. The results show that E-AHP is more scalable, takes the least time, uses the least memory, and produces the most consistent and accurate results compared to the other two algorithms. That becomes remarkable when the number of requirements increases. Therefore, E-AHP is suitable to be applied in large software projects, as it can deal efficiently with the large software requirements numbers.

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Towards the selection of Optimum Requirements Prioritization Technique: A Comparative Analysis

Cited by 15 publications

References 7 publications

Adaptations in SCOR based performance metrics of airline catering supply chain during COVID-19 pandemic

Adaptations in SCOR based performance metrics of airline catering supply chain during COVID-19 pandemic

Prioritising CAP Intervention Needs: An Improved Cumulative Voting Approach

E-AHP: An Enhanced Analytical Hierarchy Process Algorithm for Priotrizing Large Software Requirements Numbers

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