CREeLS: Crowdsourcing based Requirements Elicitation for eLearning Systems

Abstract

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.

Authors and Affiliations

Nancy M. Rizk, Mervat H. Gheith, Ahmed M. Zaki, Eman S. Nasr

Keywords

Related Articles

Accuracy Performance Degradation in Image Classification Models due to Concept Drift

Big data is playing a significant role in the current computing revolution. Industries and organizations are utilizing their insights for Business Intelligence by using Deep Learning Networks (DLN). However, dynamic char...

Customers Churn Prediction using Artificial Neural Networks (ANN) in Telecom Industry

To survive in the fierce competition of telecommunication industry and to retain the existing loyal customers, prediction of potential churn customer has become a crucial task for practitioners and academicians through p...

A Proposed Model for Detecting Facebook News’ Credibility

Social networks are currently one of the main News’ sources for most of their users. Moreover, News channels also consider social networks as main channels not only for spreading the news but also for measuring the feedb...

Identification of Issues and Challenges in Romanized Sindhi Text

Now-a-days Sindhi language is widely used in internet for the various purposes such as: newspapers, Sindhi literature, books, educational/official websites and social networks communications, teaching and learning proces...

A Novel Broadcast Scheme DSR-based Mobile Adhoc Networks

Traffic classification seeks to assign packet flows to an appropriate quality of service (QoS). Despite many studies that have placed a lot of emphasis on broadcast communication, broadcasting in MANETs is still a proble...

Download PDF file
  • EP ID EP665073
  • DOI 10.14569/IJACSA.2019.0101034
  • Views 61
  • Downloads 0

How To Cite

Nancy M. Rizk, Mervat H. Gheith, Ahmed M. Zaki, Eman S. Nasr (2019). CREeLS: Crowdsourcing based Requirements Elicitation for eLearning Systems. International Journal of Advanced Computer Science & Applications, 10(10), 242-251. https://europub.co.uk/articles/-A-665073