PHandler: An expert system for a scalable software requirements prioritization process

Babar, Muhammad; Ghazali, Masitah; Jawawi, Dayang Norhayati Abang; Shamsuddin, Siti Mariyam; Ibrahim, Norazana

doi:10.1016/j.knosys.2015.04.010

Cited by 47 publications

(41 citation statements)

References 25 publications

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“…An expert decision support system (i.e., PHandler) [7] was introduced to prioritize the large scale requirements. This approach was a combination of three methods such as the AHP, Value-based Intelligent Requirement Prioritization (VIRP) method and Neural Network.…”

Section: Related Workmentioning

confidence: 99%

A Firefly Approach for Prioritizing Functional and Nonfunctional Requirements

Yesudoss

Ramani²

2018

ijarcs

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Abstract:The prioritization of requirements is an important task in software development to implement requirements based on budget, time, customer expectations and practical constraints. An Interactive Genetic Algorithm (IGA) has been used to prioritize requirements by satisfying constraints. IGA sometimes provides a poor ranking due to population divergence. This is resolved in this paper by utilizing Firefly algorithm. The methods for prioritizing both functional and non functional requirements together are very less and have several drawbacks like of considering a small number of non functional requirements and applying less ranking weight. The firefly algorithm provides random prioritization initially, then improves the prioritization iteratively by minimizing disagreement between priorities and constraints while maximizing agreement between priority and customer satisfaction. The sum of disagreement is considered as light intensity of firefly. The population of firefly generates an ordered list of functional and nonfunctional requirements. The fitness value (intensity) is found for all fireflies then each firefly updates its position towards the best search of a firefly until all fireflies obtain same fitness value. The experimental result proves that the firefly based prioritization outperforms than Genetic Algorithm based prioritization.

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Section: Related Workmentioning

confidence: 99%

A Firefly Approach for Prioritizing Functional and Nonfunctional Requirements

Yesudoss

Ramani²

2018

ijarcs

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“…It improved the decision-making process, but it lacked an automatic system for selecting the requirements. Babar et al (2015) proposed an expert system named as the Priority Handler (PHandler) for requirement prioritisation. This method used a technique known as the value-based intelligent requirement prioritisation technique, neural network and analytical hierarchical process for improving the scalability of the method.…”

Section: Literature Reviewmentioning

confidence: 99%

“…The main challenge is the domain knowledge for prioritising the requirements, which raises the need for the human interference in the decision-making process (Babar et al, 2015), this, in turn, poses the need for the automatic selection (Khan et al, 2016) of performing the prioritising technique.…”

Section: Challengesmentioning

confidence: 99%

WhaleRank: an optimisation based ranking approach for software requirements prioritisation

Anand

Dinakaran

2018

IJEWM

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Requirement prioritisation is one of the major areas in the software product development process. Ranking methods employed for prioritising orders the requirements based on their importance. Ranking the requirements contributes in enhancing the quality of the product using additional features and to attain customer satisfaction. However, effectiveness is the growing concern in requirement prioritisation. This paper proposes a ranking method WhaleRank to rank the requirement and the effectiveness of ranking gets enhanced using the whale optimisation algorithm (WOA). The WhaleRank method uses four ranking functions based on dictionary words, similarity measure, perception of the manager, and the newly updated requirements that are combined to form a linear rank using the ranking constants. WOA determines the optimal weights of the ranking constants that promote to determine the optimal rank for the requirements. Experimentation with the methods like CBRank, average rank, WhaleRank, and GA provide a comparative performance analysis that proves that the proposed WhaleRank outperforms all methods in terms of accuracy and disagreement measure (NDA) and the values of accuracy and NDA is 83.33% and 16.24% respectively.

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“…System development life cycle is constructed with the various phases to be used in order to develop a good quality system [1][2][3]. Requirement elicitation is an important phase of system development life cycle, since it is the phase where the requirements are elicited and extracted from the stakeholders [4][5][6] Implementing and developing all the elicited requirements is extremely difficult with limited resources such as budget constraints, short schedule, and limited staff power [7,8]. On the other hand, the implementation of the stakeholders' requirements is considered as a main factor that can lead to develop and deliver a successful system [4,[9][10][11].…”

Section: Introductionmentioning

confidence: 99%

“…Requirement elicitation is an important phase of system development life cycle, since it is the phase where the requirements are elicited and extracted from the stakeholders [4][5][6] Implementing and developing all the elicited requirements is extremely difficult with limited resources such as budget constraints, short schedule, and limited staff power [7,8]. On the other hand, the implementation of the stakeholders' requirements is considered as a main factor that can lead to develop and deliver a successful system [4,[9][10][11]. Prioritizing the requirements is considered as one of the solutions in such a case, since requirements prioritization (RP) is defined as a process of prioritizing the requirements based on the stakeholders' preferences in order to identify the most important requirements among others and to produce a ranked list of requirements [12][13][14] This requirement list is used in release planning and implementation of the system.…”

Section: Introductionmentioning

confidence: 99%

Investigation of Requirements Interdependencies in Existing Techniques of Requirements Prioritization

2019

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Requirements prioritization (RP) is considered as a key role in producing a successful system by selecting the most important requirements to be released. Requirements interdependencies (RI) is one of the crucial aspects that need to be addressed in RP, since most of the requirements in reality are not independent and have dependencies between each other. Thus, ignoring RI in RP process may lead to produce inaccurate prioritization result which directly impacts the system's success. In spite of this, little is known about the impact of RI, and obviously further research is urgently required to measure the RI in the RP techniques. Hence, this study aims to investigate and analyze the existence and the execution steps of handling RI in the existing RP techniques to improve the performance of techniques in generating accurate result and assist the researchers and practitioners to select the appropriate technique that can handle RI in prioritization process. The findings indicate that, out of 65 techniques, there are only 4 techniques that handle the RI. The result reveals that these four techniques still suffer from issues of manual process and heavily rely on the experts' participation. Proposing a new technique is recommended to overcome the identified limitations.

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PHandler: An expert system for a scalable software requirements prioritization process

Cited by 47 publications

References 25 publications

A Firefly Approach for Prioritizing Functional and Nonfunctional Requirements

A Firefly Approach for Prioritizing Functional and Nonfunctional Requirements

WhaleRank: an optimisation based ranking approach for software requirements prioritisation

Investigation of Requirements Interdependencies in Existing Techniques of Requirements Prioritization

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