Requirements' elicitation needs for eLearning Systems

Rizk, Nancy M.; Gheith, Mervat; Nasr, Eman S.

doi:10.1109/icenco.2016.7856459

Cited by 6 publications

(1 citation statement)

References 15 publications

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“…eLearning is well known to be the use of technology in the delivery of education, where in some cases the learning resources are accessed online anywhere and anytime [15], [16]. eLearning has different tools, types, and information systems, which are discussed and compared in [17]. eLS has two main types of management systems; Learning Management Systems (LMS) and Learning Content Management Systems (LCMS).…”

Section: Introductionmentioning

confidence: 99%

CREeLS: Crowdsourcing based Requirements Elicitation for eLearning Systems

Rizk¹,

Mervat²,

Ahmed³

et al. 2019

IJACSA

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Crowdsourcing is the process of having a task performed by the crowd. Because of the Web evolution, recently crowdsourcing is being used in the field of Requirements Engineering to help in simplifying its activities. Among the information systems that were highly affected by the Web evolution are the eLearning Systems (eLS). eLS has special characteristics, such as the large number and diversity of users who could be geographically dispersed. To the best of our knowledge, there is little evidence that a crowdsourcing based requirements elicitation approach especially tailored for eLS that addresses their special characteristics exists. In this paper we attempt to fill in this gap. We present Crowdsourcing based Requirements Elicitation for eLS (CREeLS), which is made up of a framework of the necessary elements of crowdsourcing suggesting specific tools for each element, and a phased approach to implement the framework. We evaluated our approach through analyzing real-life users' reviews and extracted keywords that represent users' requirements by using topic modeling techniques. The reached results were then evaluated by manual text reviewing and the extracted features were found to be coherent. CREeLS has 0.66 precision and 0.79 recall. Hence we contend that CREeLS can help requirements engineers of eLS to analyze users' opinions and identify the most common users' requirements for better software evolution.

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Section: Introductionmentioning

confidence: 99%

CREeLS: Crowdsourcing based Requirements Elicitation for eLearning Systems

Rizk¹,

Mervat²,

Ahmed³

et al. 2019

IJACSA

View full text Add to dashboard Cite

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A Comparative Systematic Analysis of Stakeholder’s Identification Methods in Requirements Elicitation

Khan

Assam

et al. 2022

IEEE Access

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Context and Motivation]Before eliciting and gathering requirements for a software project, it is considered pivotal to know about concerned stakeholders. It becomes hard to elicit the actual system requirements without identifying relevant stakeholders, leading the software project to failure. Despite the paramount importance of stakeholder identification in requirement elicitation, it has been given less attention in the software engineering literature.[Method] For this purpose, we conducted a thorough Systematic Literature Review (SLR) on stakeholder identification (SI) and its methods in requirement elicitation. However, previously, a literature study on SI in the requirement elicitation was conducted. We found that no one has proposed any standard or baseline research method for stakeholder identification, stakeholder assessment, and stakeholder interaction up to date according to our knowledge. It provides an opportunity to update the current SLR on SI in requirements elicitation from 2011 till 2021 to search for a baseline methodology for the SI. For this purpose, we explored the existing literature research that involves the SI methods in requirements elicitation. [Principle Ideas/Results] Furthermore, we identify and capture seventeen research methodologies for SI, eight key stakeholders interaction methods, and ten stakeholders assessment methods in requirement elicitation. To further enhance the stakeholder identification process, we additionally identify pivotal information such as different potential stakeholder categories, stakeholder assessments methods, and stakeholder interaction methods. Also, based on the proposed SLR, we find out the existing gaps and new opportunities for SI methods in the requirement elicitation. [Contribution] These SI methodologies help requirements engineers and practitioners identify key stakeholders and efficiently improve the requirements quality. Moreover, this research study helps identify the effective practices used for the traditional and CrowdRE SI, recover consequences that can affect the effectiveness of SI, and recommend advisable SI practices to be employed in the future. This research study would help the software researchers and developers efficiently and accurately identify correct and concerned stakeholders to improve end-user satisfaction instead of considering it a self-evident task. INDEX TERMS Stakeholder Identification, stakeholder methods, Requirement Elicitation, SLR.

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