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Software Engineering and Natural Language Processing- How Can they be Together?
Nakul Sharma,Prasanth Yalla 보안공학연구지원센터 2016 International Journal of Software Engineering and Vol.10 No.12
The SE and NLP are newer research areas in computer science and engineering. This paper tries to raise and answer the interrelation between Software Engineering and Natural Language Processing. The stakeholders of both the research areas which will be affected are provided. An attempt is made to highlight the possibility of joint research in both the areas.
Integrating Natural Language Processing and Software Engineering
Prasanth Yalla,Nakul Sharma 보안공학연구지원센터 2015 International Journal of Software Engineering and Vol.9 No.11
This paper tries to put various ways in which Natural Language Processing (NLP) and Software Engineering (SE) can be seen as inter-disciplinary research areas. We survey the current literature, with the aim of assessing use of Software Engineering and Natural Language Processing tools in the researches undertaken. An assessment of how various phases of SDLC can employ NLP techniques is presented. The paper also provides the justification of the use of text for automating or combining both these areas. A short research direction while undertaking multidisciplinary research is also provided.
Biodiversity research trends and gap analysis from a transboundary landscape, Eastern Himalayas
Pratikshya Kandel,Janita Gurung,Nakul Chettri,Wu Ning,Eklabya Sharma 국립중앙과학관 2016 Journal of Asia-Pacific Biodiversity Vol.9 No.1
The Kangchenjunga landscape, a transboundary complex shared by Bhutan, India, and Nepal, is one of the biologically richest regions in the Eastern Himalayas. Owing to the remarkable biodiversity, the three countries came together to enhance regional cooperation in conservation and development in 2012. To start a strategic conservation intervention, the status of our knowledge base on biodiversity of the landscape is the most important stepping stone. In this paper, we traced the history of biodiversity research in the Kangchenjunga landscape, and present the research trends over time and subject interests. Meanwhile, we also identified key research and knowledge gaps and future priorities. For this, we analyzed 500 peer-reviewed journal articles (until 2014) relating to biodiversity, which were retrieved from the web platform ‘Google Scholar’ and other peer-reviewed journals. The review showed that the landscape received attention from the scientific community as early as the 1840s, and grew progressively after the 1980s. Research on fauna (especially mammals) and flora (especially angiosperms) is most notable, but with major gaps in systematic research of their ecology, whereas invertebrates other than butterflies appear to be neglected. There is a need for systematic research with long-term monitoring that would allow us to understand changes occurring within the landscape.