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.
This paper focuses on providing a multi-dimensional view of success factors in agile software development projects. This paper starts by surveying the literature for the success factors of agile software development projects. Therefore, it surveys the success factors that were published in research papers, articles, and technical reports related to actual agile projects. For facilitating the understanding of the success factors, the researchers classify them into five categories: organizational, people, process, project, and technical. In addition, the researchers classify the success factors into main success factors where each main success factor is decomposed into a set of sub success factors. This classification helps in reaching to a multi-dimensional view of success factors and makes them more applicable. Then, the researchers propose an approach for evaluating the adherence of these success factors in the agile projects. The proposed approach can be used to reveal the current state of the success factors as an introductory step to enhance their adherence.
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