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Efficient software design and subsequently efficient software product development depends on the quality of the requirements engineering process. It is evident from the previous studies that effective requirements engineering process can reduce the risk of failure for development of large scale information system. This paper proposed a comprehensive set of quality measurements towards Object Oriented...
Collaborative virtual environments (CVE) are usually evaluated according to the following aspects: cohesion between team members, implicit communication, and task performance. The degree of user awareness is another important aspect that deserves attention, especially when the CVE is 3D and immersive. 3DCVEs have the main goal of attaining a high degree of teamwork by exposing the team members to...
Many global socio-economic systems are based on flows of information, energy or matter. Typically, various organizations and institutions plan, design, implement and operate part of the physical infrastructure necessary to enable the flow, but none of them are the central controlling instance. Collaboration in such self-organized complex systems of flow enables broader market and system connectivity,...
Emerging technologies provide new opportunities to humanitarian organizations for enhancing their response to crisis situations. Since the 2010 Haiti Earthquake, online volunteer communities have been activated to gather data and generate information products to improve humanitarian organizations' situational awareness and decision making. However, how and to what extent these information products...
The classic user-based collaborative filtering algorithm has some shortcomes in its similarity calculation. In this paper, we propose a statistic based collaborative filtering algorithm (SOFA). The contributions are three-fold: 1) a threshold is used to filter those inaccurate similarities between users who have less intersection, 2) users' statistics, such as mean, and variance, are used for similarity...
Discovering experts is an imperative practical problem in the field of medical sciences (Medicine) these days. Both manual and automated approaches are employed and have their own benefits and pitfalls. Generally, measuring one's expertise uses one metric (facet) like number of publications and to build a comprehensive profile of the expert, a multi-metric technique is proposed here with user defined...
A recent surge of research on social networks and their characteristics has attracted an increasing amount of interests from the community of biomedicine and biomedicai informatics. Social network analysis (SNA) methods have been regarded as an effective tool to assess inter- and intra-institution research collaborations in the Clinical Translational Science Award (CTSA) community. In this paper,...
The study on sufficient QoS data contributes to advancing the state in Service-Oriented Computing (SOC) industry and academy. To collect a large amount of resource in practice, QoS prediction systems are designed. Nevertheless, how to build up an accurate and efficient system is still a challenging problem. This paper proposes CoMFS, a Collaborative Matrix Factorization System that leverages users'...
Recommendation systems are popular information filtering tools that help people find what they want. Accuracy is the most widely used metric for evaluating recommendation systems. Recently, many research works have focused on new measurements beyond the accuracy of recommendation systems. In this paper, we propose a neighbor diversification collaborative filtering algorithm to improve the recommendation...
As Agile becomes the de-facto SDLC practice, it has become evident that additional practices are required to allow enterprises to realize the premise of it. In this experience report, we will share the practices learnt and exercised over the past 3 years that helped us cope with the common challenges of large scale enterprise projects. The concept of "Application Lifecycle Intelligence"...
This position paper reflects on recent work that sought to make positive changes to the IEEE Requirements Engineering conference (RE), and on twenty years of requirements engineering (REng) research. We question the values that seem to underpin RE, and offer what we believe are more appropriate values. We argue that these new values would result in better alignment between research and the needs of...
This paper presents a new practice-based design framework to apply in the design of service innovations by enterprises and their engineers. New concepts in business architecture and business modeling, resulting from technological, social and economic change, are integrated with Service Science concepts, tools, and methods, enabling the creation of breakthrough advantages for the enterprise. The framework...
The objective of this study is to discover social communities in a social network using different social network community discovery methods that utilize metrics and structures like degree, clustering coefficient, k-cores, weak and strong components. We have used two different datasets and methods: K-core community discovery method for DBLP dataset and Main Path Analysis method for Arxiv High-energy...
Internet traffic has been exponentially growing with the increasing demand of content dissemination. This explosive growth in traffic poses a significant challenge to the networks, especially backbones. To address the challenge, the emerging content-oriented Named Data Networking (NDN) has been proposed due to its attractive advantages, such as network load reduction, low dissemination latency and...
This paper describes the development of a collaborative social platform to support innovation process management. The Drupal based platform accommodates different types of innovation processes (also called waves or idea contests), enhances collaboration and eases management. The main contribution lies on the gathering of context parameters which helps enterprises on the detection of critical success...
The emerging empirical literature on Open Source communities indicates that a majority of code writing and communication activity is concentrated with a few contributors, the “core” (maintainers). However, these communities allow and encourage participation from anybody, the “periphery”. The focus of this work is on explaining how distributed communities solve software problems through the participation...
In E-Commerce, recommender systems recommend to users those items that may they like and have not been seen by them. One of the most popular techniques in recommender systems is collaborative filtering. For the current user, collaborative filtering technique uses the rating information of similar users to recommends new items. Therefore, clustering methods can be performed to divide users into k clusters...
Every person is unique and has different sets of individual traits and characteristics. Although people possess different types of personalities, in the end they manage to understand each other and interact regardless of these differences. Starting from the simplest language elements, a simple remark is that, in general, people use certain words more frequently than others. These words might reveal...
We present WHATSUP, a collaborative filtering system for disseminating news items in a large-scale dynamic setting with no central authority. W HATS U P constructs an implicit social network based on user profiles that express the opinions of users about the news items they receive (like-dislike). Users with similar tastes are clustered using a similarity metric reflecting long-standing and emerging...
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