Defining Meta-Model for Value-Oriented Requirement Prioritization Technique

Masood, Maria; Azam, Farooque; Anwar, Muhammad Waseem; Amjad, Anam

doi:10.1145/3348445.3352739

Cited by 5 publications

(3 citation statements)

References 12 publications

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“…However, it is inadequate while handling nonfunctional requirements. With the purpose of handling this issue, a meta-model with value-related RP was proposed in [5] to prioritize both the requirements. The protectors of quality software systems, RP have seldom been utilized in hand-picking the most paramount requirements as discerned by customers.…”

Section: Literature Surveymentioning

confidence: 99%

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Interdependency Aware Qubit and Brownboost Rank Requirement Learning for Large Scale Software Requirement Prioritization

Sarker¹,

Rahman²

2022

IJCDS

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Requirements Prioritization (RP) is very indispensable and laborious phase in the course of requirement management of software engineering. Numerous research works have been conducted in the prioritization of small size requirements. However, problems are said to occur while considering large set software project requirements. In order to address the issue, in this paper we present the novel method called the Interdependency-aware Qubit and BrownRoost Rank (IQ-BR) method to prioritize the huge number of requirements. Optimization is a model that identifies the optimal requirements from a set of probable functions with respect to their attributes or requirements. Quantum Optimization is the familiar optimization algorithms is used in the IQ-BR. The novelty of the work lies in the use of the Interdependency-aware Qubit Requirement Selection algorithm and BrownBoost Rank Requirement Prioritization Learning model. An Interdependency-aware Qubit Requirement Selection algorithm is used to address the requirements prioritization issues to handle volatile and interdependencies among requirements during RP. With the optimal requirement selection results, BrownBoost Rank Requirement Prioritization Learning is finally applied to rank the requirements based on the BrownBoost Rank function. The proposed IQ-BR and existing methods are discussed with different factors such as requirement prioritization accuracy, requirement prioritization time, true positive rate and false-positive rate with respect to different functional and non-functional requirements. The observed results show superior performance of our proposed IQ-BR method when compared to state-of-the-art methods.

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Section: Literature Surveymentioning

confidence: 99%

“…Step 5: Estimate interdependency measure as in equation (5) Step 6: Estimate Q-bit, for the probabilistic value interdependency between requirements as in equation ( 6…”

Section: B Brownboost Rank Requirement Prioritization Learning Modelmentioning

confidence: 99%

Interdependency Aware Qubit and Brownboost Rank Requirement Learning for Large Scale Software Requirement Prioritization

Sarker¹,

Rahman²

2022

IJCDS

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“…Requirements prioritization (RP) is an essential part of requirements management, aimed at selecting the requirements based on certain predetermined criteria so that they could be implemented in stages [3]- [5]. Several common criteria that determine RP include stakeholders [6], system functionality [7], cost [8], processing time [8], risk considerations [9], [10], and business values [4].…”

Section: Introductionmentioning

confidence: 99%

Understanding requirements dependency in requirements prioritization: a systematic literature review

Noviyanto

Razali

Nazri

2023

Int. J. Adv. Intell. Informatics

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Requirement prioritization (RP) is a crucial task in managing requirements as it determines the order of implementation and, thus, the delivery of a software system. Improper RP may cause software project failures due to over budget and schedule as well as a low-quality product. Several factors influence RP. One of which is requirements dependency. Handling inappropriate handling of requirements dependencies can lead to software development failures. If a requirement that serves as a prerequisite for other requirements is given low priority, it affects the overall project completion time. Despite its importance, little is known about requirements dependency in RP, particularly its impacts, types, and techniques. This study, therefore, aims to understand the phenomenon by analyzing the existing literature. It addresses three objectives, namely, to investigate the impacts of requirements dependency on RP, to identify different types of requirements dependency, and to discover the techniques used for requirements dependency problems in RP. To fulfill the objectives, this study adopts the Systematic Literature Review (SLR) method. Applying the SLR protocol, this study selected forty primary articles, which comprise 58% journal papers, 32% conference proceedings, and 10% book sections. The results of data synthesis indicate that requirements dependency has significant impacts on RP, and there are a number of requirements dependency types as well as techniques for addressing requirements dependency problems in RP. This research discovered various techniques employed, including the use of Graphs for RD visualization, Machine Learning for handling large-scale RP, decision making for multi-criteria handling, and optimization techniques utilizing evolutionary algorithms. The study also reveals that the existing techniques have encountered serious limitations in terms of scalability, time consumption, interdependencies of requirements, and limited types of requirement dependencies.

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A novel hybrid requirement’s prioritization approach based on critical software project factors

et al. 2023

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Defining Meta-Model for Value-Oriented Requirement Prioritization Technique

Cited by 5 publications

References 12 publications

Interdependency Aware Qubit and Brownboost Rank Requirement Learning for Large Scale Software Requirement Prioritization

Interdependency Aware Qubit and Brownboost Rank Requirement Learning for Large Scale Software Requirement Prioritization

Understanding requirements dependency in requirements prioritization: a systematic literature review

A novel hybrid requirement’s prioritization approach based on critical software project factors

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