scholarly journals Idea-Caution Before Exploitation: The Use of Cybersecurity Domain Knowledge to Educate Software Engineers Against Software Vulnerabilities

2017 ◽  
pp. 133-142 ◽  
Author(s):  
Tayyaba Nafees ◽  
Natalie Coull ◽  
Robert Ian Ferguson ◽  
Adam Sampson
Keyword(s):  
Domain Knowledge ◽  
Software Vulnerabilities ◽  
Software Engineers

scholarly journals Towards a Methodology to Elicit Tacit Domain Knowledge from Users

10.28945/3175 ◽  
2007 ◽  
Author(s):  
Wernher Friedrich ◽  
John Andrew van der Poll
Keyword(s):  
Software Development ◽  
Traditional Knowledge ◽  
Domain Knowledge ◽  
Knowledge Elicitation ◽  
Current Understanding ◽  
Elicitation Methods ◽  
Long Run ◽  
Software Engineers ◽  
Software Development Environments

This paper seeks to address a problem ubiquitous in many software development environments today, namely, building software from requirements that are incomplete and not fully understood, thereby creating products that are either faulty or ultimately not being used at all. This gap that exists between software engineers and clients is highlighted in this paper and suggestions on how to overcome the identified gap are presented. The proposed methodology is to introduce developers into the client’s environment, which can be more time consuming and more resource intensive than traditional knowledge elicitation methods, but has the potential to satisfy more of a user’s needs in the long run. It also does not seek to replace any of the existing elicitation methods; rather it is complementary to knowledge elicitation techniques currently used by software engineers as well as to enhance current understanding of such processes.

Automated Assessment of Domain Knowledge With Online Knowledge Mapping

2006 ◽  
Author(s):  
Gregory K. W. K. Chung ◽  
Eva L. Baker ◽  
David G. Brill ◽  
Ravi Sinha ◽  
Farzad Saadat ◽  
...  
Keyword(s):  
Domain Knowledge ◽  
Knowledge Mapping ◽  
Automated Assessment

A Model for Structured Data Entry Based on Explicit Descriptional Knowledge

1994 ◽  
Vol 33 (05) ◽  
pp. 454-463 ◽  
Author(s):  
A. M. van Ginneken ◽  
J. van der Lei ◽  
J. H. van Bemmel ◽  
P. W. Moorman
Keyword(s):  
Domain Knowledge ◽  
Data Entry ◽  
Knowledge Bases ◽  
Structured Data ◽  
Research Quality ◽  
Free Text ◽  
Specific Knowledge ◽  
User Input ◽  
The One ◽  
Research Quality Assessment

Abstract:Clinical narratives in patient records are usually recorded in free text, limiting the use of this information for research, quality assessment, and decision support. This study focuses on the capture of clinical narratives in a structured format by supporting physicians with structured data entry (SDE). We analyzed and made explicit which requirements SDE should meet to be acceptable for the physician on the one hand, and generate unambiguous patient data on the other. Starting from these requirements, we found that in order to support SDE, the knowledge on which it is based needs to be made explicit: we refer to this knowledge as descriptional knowledge. We articulate the nature of this knowledge, and propose a model in which it can be formally represented. The model allows the construction of specific knowledge bases, each representing the knowledge needed to support SDE within a circumscribed domain. Data entry is made possible through a general entry program, of which the behavior is determined by a combination of user input and the content of the applicable domain knowledge base. We clarify how descriptional knowledge is represented, modeled, and used for data entry to achieve SDE, which meets the proposed requirements.

Classification of means and methods of the Web semantic retrieval

2017 ◽  
pp. 030-050
Author(s):  
J.V. Rogushina ◽  
Keyword(s):  
Search Engines ◽  
Domain Knowledge ◽  
Information Needs ◽  
Web Search ◽  
User Interaction ◽  
Query Languages ◽  
Semantic Search ◽  
Semantic Retrieval ◽  
The Web

Problems associated with the improve ment of information retrieval for open environment are considered and the need for it’s semantization is grounded. Thecurrent state and prospects of development of semantic search engines that are focused on the Web information resources processing are analysed, the criteria for the classification of such systems are reviewed. In this analysis the significant attention is paid to the semantic search use of ontologies that contain knowledge about the subject area and the search users. The sources of ontological knowledge and methods of their processing for the improvement of the search procedures are considered. Examples of semantic search systems that use structured query languages (eg, SPARQL), lists of keywords and queries in natural language are proposed. Such criteria for the classification of semantic search engines like architecture, coupling, transparency, user context, modification requests, ontology structure, etc. are considered. Different ways of support of semantic and otology based modification of user queries that improve the completeness and accuracy of the search are analyzed. On base of analysis of the properties of existing semantic search engines in terms of these criteria, the areas for further improvement of these systems are selected: the development of metasearch systems, semantic modification of user requests, the determination of an user-acceptable transparency level of the search procedures, flexibility of domain knowledge management tools, increasing productivity and scalability. In addition, the development of means of semantic Web search needs in use of some external knowledge base which contains knowledge about the domain of user information needs, and in providing the users with the ability to independent selection of knowledge that is used in the search process. There is necessary to take into account the history of user interaction with the retrieval system and the search context for personalization of the query results and their ordering in accordance with the user information needs. All these aspects were taken into account in the design and implementation of semantic search engine "MAIPS" that is based on an ontological model of users and resources cooperation into the Web.

Is Professional Commitment The Reason For Turnover Intentions of IT Professionals?

2019 ◽  
Vol 5 (1) ◽  
pp. 124
Author(s):  
Mohamed Buhari Mufitha ◽  
Su Teng Lee ◽  
Chen Chen Yong
Keyword(s):  
Job Satisfaction ◽  
Structural Equation ◽  
Turnover Intentions ◽  
Equation Model ◽  
Professional Commitment ◽  
Turnover Rates ◽  
It Professionals ◽  
Professional Advancement ◽  
Software Engineers ◽  
Job Satisfactions

Compared to others, professionals share distinguish workplace characteristics: one such is the high commitment to the professions over to working organizations. Information Technology (IT) professionals demonstrate higher turnover rates compared to others: their commitments to the profession has been suspected as a source of turnover. Considering their job satisfactions the present study aimed to investigate the influence of professional commitment on IT professionals’ turnover intentions. Data were collected from a sample of software engineers from Sri Lank using a survey questionnaire. The results of the structural equation model analysis concluded that professional commitment weakens IT professionals’ turnover intentions, which is partially mediated by job satisfaction. Professional commitment stimulates IT professionals’ job satisfaction. The findings challenge the presumption that IT professionals leave their organizations due to high commitments to the profession. Few factors were identified as significant in their job satisfactions: supervision, co-workers and work design. Pay and promotions were the least influencing job satisfaction factors. Managers may employ few strategies in their retention strategies: facilitate professional advancement needs within organizations, closely monitor supervision activities occurs and provide challenging and meaningful jobs. The study contributes to the turnover literature through empirical evidence on the influence of professional commitment on knowledge workers’ turnover intentions.

Modeling Affordances and Functioning for Personalized Robotic Assistance

2020 ◽  
Author(s):  
Alessandro Umbrico ◽  
Gabriella Cortellessa ◽  
Andrea Orlandini ◽  
Amedeo Cesta
Keyword(s):  
Domain Knowledge ◽  
Experimental Tests ◽  
International Classification Of Functioning ◽  
Knowledge Representation And Reasoning ◽  
Health State ◽  
Knowledge Reasoning ◽  
Cognitive Assistance ◽  
Ontological Model ◽  
And Function

A key aspect of robotic assistants is their ability to contextualize their behavior according to different needs of assistive scenarios. This work presents an ontology-based knowledge representation and reasoning approach supporting the synthesis of personalized behavior of robotic assistants. It introduces an ontological model of health state and functioning of persons based on the International Classification of Functioning, Disability and Health. Moreover, it borrows the concepts of affordance and function from the literature of robotics and manufacturing and adapts them to robotic (physical and cognitive) assistance domain. Knowledge reasoning mechanisms are developed on top of the resulting ontological model to reason about stimulation capabilities of a robot and health state of a person in order to identify action opportunities and achieve personalized assistance. Experimental tests assess the performance of the proposed approach and its capability of dealing with different profiles and stimuli.

Identifying The Competencies Possessed By The Engineering College Faculty In India

2019 ◽  
Vol 118 (4) ◽  
pp. 68-71
Author(s):  
Mohanakumari. D ◽  
R. Magesh
Keyword(s):  
Domain Knowledge ◽  
Teaching And Learning ◽  
Vital Role ◽  
Faculty Members ◽  
Approaches To Teaching ◽  
Global Workforce ◽  
Content Domain ◽  
Technology Changes ◽  
Education In India ◽  
Pre Service Teacher

The main intention of the Paper is identifying the competencies possessed by the faculty in engineering college and adequate skills of all the disciplines required and that plays a vital role in educational institutions.In this era, engineering education in India faces major challenges as it requires meeting the demands of technical profession and emerging job market. Researchers have created some universally desired, yet challenging skills for global workforce. Nowadays, technology changes rapidly, so we have to update our self-according to the changing world, i.e., infrastructure, content/domain knowledge, educators/HR trainers. Thus, our technical faculty members should necessary to learn the innovative approaches to teaching and learning, which in turn will require effective professional development for both new and experienced instructors alike. It is right time now to redesign our curriculam, pedagogy and make the pre-service teacher preparation programme mandatory part of technical higher education.

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