Dehua Ju

Bio: Dehua Ju is an academic researcher from East China University of Science and Technology. The author has contributed to research in topics: Knowledge engineering & Knowledge economy. The author has an hindex of 3, co-authored 8 publications receiving 37 citations.

On building knowledge cloud

Abstract: In this paper, we have extended the “data in the cloud” approach to the “knowledge in the cloud” paradigm. The knowledge cloud model represents an ideal solution for on-demand KaaS on the cloud platform. The design framework for public knowledge service platform previously proposed by the authors can be smoothly migrated into the cloud environment as explained in this paper. The knowledge cloud is a high-usability knowledge source for all knowledge workers, moreover, a collaborative base for knowledge co-creation.

On the measurement of agility in software process

Abstract: Agile software process may become one of the most rational development patterns in global economic environment to assist software enterprise to make rapid response to the market. This paper proposes a method to measure agility in software process using goal-driven techniques and balanced scorecard. Using this method, we design a set of representative agility metrics for measuring agility in software process. We also perform one case study for the proposed agility measurement.

Library as knowledge ecosystem

Abstract: Purpose – The purpose of this paper is to develop a network-based approach for doing active knowledge services in the coming networked knowledge era. Design/methodology/approach – A novel solution so-called “Internet of Knowledge (IoK)” is proposed in this paper, which can be used to organize scattered resources into a value-added knowledge asset for serving any specific objective through internet connection. Findings – It enables the public library to be an attractive habitat for both knowledge consumers and contributors to share and co-create knowledge works. It will be an ideal ecosystem for supporting the growth of knowledge-intensive industries. Research limitations/implications – A pilot system has being developed to promote the development of marine economy. Practical implications – The IoK-based approach is expected to be applied to more domains in the next China’s five-year plan. Originality/value – The main contribution is to integrate many great ideas from world gurus into a single solution fra...

Sustainable Development of Marine Economy Guided by Knowledge Cloud Services

Abstract: In this paper we proposed a knowledge cloud service model to support sustainable development of marine economy. Through a brief explanation on why, what and how it illustrates the value and importance of knowledge services as a vital soft infrastructure for developing marine economy.

Knowledge Services for Knowledge Workers

Abstract: Knowledge services have been proposed in this paper as a main component and measure in the knowledge society to promote the professional development of knowledge workers and improve their productivity. The basic design principles of knowledge services are discussed to integrate advantages of modern learning systems. A 5 layer design framework is proposed for developing the knowledge service platform to maximize the value of knowledge services. The prototype project has being started to build the Public Knowledge Service Platform (PKSP) to meet the urgent needs of talents development in China and progress is reported. The novel features of the proposed solution are given in the conclusion.

Evaluation and Measurement of Software Process Improvement—A Systematic Literature Review

Abstract: BACKGROUND-Software Process Improvement (SPI) is a systematic approach to increase the efficiency and effectiveness of a software development organization and to enhance software products. OBJECTIVE-This paper aims to identify and characterize evaluation strategies and measurements used to assess the impact of different SPI initiatives. METHOD-The systematic literature review includes 148 papers published between 1991 and 2008. The selected papers were classified according to SPI initiative, applied evaluation strategies, and measurement perspectives. Potential confounding factors interfering with the evaluation of the improvement effort were assessed. RESULTS-Seven distinct evaluation strategies were identified, wherein the most common one, “Pre-Post Comparison,” was applied in 49 percent of the inspected papers. Quality was the most measured attribute (62 percent), followed by Cost (41 percent), and Schedule (18 percent). Looking at measurement perspectives, “Project” represents the majority with 66 percent. CONCLUSION-The evaluation validity of SPI initiatives is challenged by the scarce consideration of potential confounding factors, particularly given that “Pre-Post Comparison” was identified as the most common evaluation strategy, and the inaccurate descriptions of the evaluation context. Measurements to assess the short and mid-term impact of SPI initiatives prevail, whereas long-term measurements in terms of customer satisfaction and return on investment tend to be less used.

Why are industrial agile teams using metrics and how do they use them

Abstract: Agile development methods are increasing in popularity, yet there are limited studies on the reasons and use of metrics in industrial agile development. This paper presents preliminary results from a systematic literature review. Based on our study, metrics and their use are focused to the following areas: Iteration planning, Iteration tracking, Motivating and improving, Identifying process problems, Pre-release quality, Post-release quality and Changes in processes or tools. The findings are mapped against agile principles and it seems that the use of metrics supports the principles with some deviations. Surprisingly, we find little evidence of the use of code metrics. Also, we note that there is a lot of evidence on the use of planning and tracking metrics. Finally, the use of metrics to motivate and enforce process improvements as well as applicable quality metrics can be interesting future research topics.

Internet of Things and its applications in libraries: a literature review

Abstract: Internet of Things (IoT) is an emerging paradigm that draws academia and industry attention in the past few years. The purpose of this paper is to review the current research on IoT in library operation, and report the future trends and research challenges as well.,To conduct this research, the literature on IoT and its application in libraries was retrieved from major databases such as Web of Science, IEEE Xplore, Scopus and Inspec for the period between 2010 and 2018.,This study identifies IoT potential impact on libraries, and excavates some valuable literature on IoT and its application in libraries from managerial perspective, especially focuses on library service innovation in IoT era.,The IoT application in libraries is a new subject. This study provides an overview of IoT application in libraries. The findings of this study contribute to the research on IoT and its role in library management.

Actionable Knowledge As A Service (AKAAS): Leveraging big data analytics in cloud computing environments

Abstract: Knowledge-as-a service is an emerging research trend that constitutes a promising path for organizations aiming to achieve better customer support and decision-making across a wide range of content providers. However, only few studies have explored how traditional knowledge management processes and practices are challenged and evolve in relation to social and technological transformation stemming from the new age of cloud-computing environments. This research paper attempts to answer this gap by introducing a new framework for the management of knowledge in the cloud.