Approach to system functional requirements extraction and methods for its implementation based on the design of user activities in the interface using architectural schemes

2021 ◽  
pp. 100-105
Author(s):  
A.N. Belikov ◽  
◽  
S.A. Belikova
Keyword(s):  
Information Systems ◽  
Natural Language ◽  
Design Process ◽  
Process Model ◽  
Main Idea ◽  
Direct Interaction ◽  
Functional Requirements ◽  
End User ◽  
System Developer ◽  
Statistical Studies

The existing approach to requirements extraction is that the requirements are formed by the system developer through direct interaction with the customer using a number of methods (for example, interviewing; prototyping; analysis of use cases; user stories; seminars, etc.). In this case, most often the requirements are formed by the developer himself, taking into account the opinion of the customer’s representative. The disadvantage of the existing approach is the problem of loss of knowledge transferred from the customer’s representatives to the developer, which results in the failure of projects, which is recorded by the existing statistics. As statistical studies show, more than half of projects for the creation of information systems (IS) are failures or require changes (in terms of budget, time and customer satisfaction). In modern research in the field of__ design and development of information systems, there is a tendency to involve the end user (customer) in the design process. To develop this idea, an approach is proposed to involve the user in the process of extracting requirements, where the developer will no longer be the person forming the requirements. The main idea of the approach is to develop special tools that allow you to independently transform the customer’s natural language into such a form of representation of the model of the process of solving professional problems, from which an interface will be built, which will allow extracting functional requirements from the unity (process model and interface).

scholarly journals Ontology evolution: a process-centric survey

2013 ◽  
Vol 30 (1) ◽  
pp. 45-75 ◽  
Author(s):  
Fouad Zablith ◽  
Grigoris Antoniou ◽  
Mathieu d'Aquin ◽  
Giorgos Flouris ◽  
Haridimos Kondylakis ◽  
...  
Keyword(s):  
Natural Language Processing ◽  
Information Systems ◽  
Semantic Web ◽  
Natural Language ◽  
Language Processing ◽  
Process Model ◽  
Ontology Evolution ◽  
Depth Analysis ◽  
Future Challenges ◽  
Industrial Adoption

AbstractOntology evolution aims at maintaining an ontology up to date with respect to changes in the domain that it models or novel requirements of information systems that it enables. The recent industrial adoption of Semantic Web techniques, which rely on ontologies, has led to the increased importance of the ontology evolution research. Typical approaches to ontology evolution are designed as multiple-stage processes combining techniques from a variety of fields (e.g., natural language processing and reasoning). However, the few existing surveys on this topic lack an in-depth analysis of the various stages of the ontology evolution process. This survey extends the literature by adopting a process-centric view of ontology evolution. Accordingly, we first provide an overall process model synthesized from an overview of the existing models in the literature. Then we survey the major approaches to each of the steps in this process and conclude on future challenges for techniques aiming to solve that particular stage.

An Integrated Approach for a Knowledge-based Clinical Workstation: Architecture and Experience

1998 ◽  
Vol 37 (01) ◽  
pp. 16-25 ◽  
Author(s):  
P. Ringleb ◽  
T. Steiner ◽  
P. Knaup ◽  
W. Hacke ◽  
R. Haux ◽  
...  
Keyword(s):  
Decision Support ◽  
Information Systems ◽  
Patient Care ◽  
Hospital Information Systems ◽  
Medical Decision ◽  
Daily Routine ◽  
Functional Requirements ◽  
Support Functions ◽  
Knowledge Based ◽  
Clinical Workstation

Abstract:Today, the demand for medical decision support to improve the quality of patient care and to reduce costs in health services is generally recognized. Nevertheless, decision support is not yet established in daily routine within hospital information systems which often show a heterogeneous architecture but offer possibilities of interoperability. Currently, the integration of decision support functions into clinical workstations is the most promising way. Therefore, we first discuss aspects of integrating decision support into clinical workstations including clinical needs, integration of database and knowledge base, knowledge sharing and reuse and the role of standardized terminology. In addition, we draw up functional requirements to support the physician dealing with patient care, medical research and administrative tasks. As a consequence, we propose a general architecture of an integrated knowledge-based clinical workstation. Based on an example application we discuss our experiences concerning clinical applicability and relevance. We show that, although our approach promotes the integration of decision support into hospital information systems, the success of decision support depends above all on an adequate transformation of clinical needs.

The design of modular oil tank: A new design process model

2020 ◽  
Vol 15 ◽  
Author(s):  
Jin Li ◽  
Xingsheng Jiang ◽  
Jingye Li ◽  
Yadong Zhao ◽  
Xuexing Li
Keyword(s):  
Product Design ◽  
Design Process ◽  
Process Model ◽  
Mechanical Design ◽  
Computer Software ◽  
Reference Value ◽  
Fuel Tank ◽  
Design Quality ◽  
Design Time ◽  
Design Process Model

Background: In the whole design process of modular fuel tank, there are some unreasonable phenomena. As a result, there are some defects in the design of modular fuel tank, and the function does not meet the requirements in advance. This paper studies this problem. Objective: Through on-the-spot investigation of the factory, a mechanical design process model is designed. The model can provide reference for product design participants on product design time and design quality, and can effectively solve the problem of low product design quality caused by unreasonable product design time arrangement. Methods: After sorting out the data from the factory investigation, computer software is used to program, simulate the information input of mechanical design process, and the final reference value is got. Results: This mechanical design process model is used to guide the design and production of a new project, nearly 3 months ahead of the original project completion time. Conclusion: This mechanical design process model can effectively guide the product design process, which is of great significance to the whole mechanical design field.

Use of Technology Acceptance Model for Turnitin®

2015 ◽  
Vol 1 (2) ◽  
Author(s):  
Dr. Abu Turab Alam
Keyword(s):  
Information System ◽  
Software Engineering ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Implementation Research ◽  
Functional Requirements ◽  
End User ◽  
Research Activity ◽  
Use Of Technology ◽  
Acceptance Model

A useful Information System is difficult to conceive and develop. Research on technology has revealed that end-user likes or dislikes may matter towards the success or failure of information system (IS). A highly complicated system in which developers have put lots of development efforts may fail if the end-user dislikes it after its initial installation. In software engineering literature it is claimed that system rejection is mostly caused by not meeting the non-functional requirements. In this paper, a study is being done on ‘turnitin®’ as technology and its acceptance to a group of students in order to find out confirmation of result as claimed by TAM while it is a post implementation research activity for technology acceptance.

scholarly journals On systematically building a controlled natural language for functional requirements

2021 ◽  
Vol 26 (4) ◽  
Author(s):  
Alvaro Veizaga ◽  
Mauricio Alferez ◽  
Damiano Torre ◽  
Mehrdad Sabetzadeh ◽  
Lionel Briand
Keyword(s):  
Information System ◽  
Natural Language ◽  
Qualitative Methodology ◽  
Case Study Research ◽  
Empirical Evaluation ◽  
Functional Requirements ◽  
Industrial Case Study ◽  
Requirements Specifications ◽  
Financial Domain

AbstractNatural language (NL) is pervasive in software requirements specifications (SRSs). However, despite its popularity and widespread use, NL is highly prone to quality issues such as vagueness, ambiguity, and incompleteness. Controlled natural languages (CNLs) have been proposed as a way to prevent quality problems in requirements documents, while maintaining the flexibility to write and communicate requirements in an intuitive and universally understood manner. In collaboration with an industrial partner from the financial domain, we systematically develop and evaluate a CNL, named Rimay, intended at helping analysts write functional requirements. We rely on Grounded Theory for building Rimay and follow well-known guidelines for conducting and reporting industrial case study research. Our main contributions are: (1) a qualitative methodology to systematically define a CNL for functional requirements; this methodology is intended to be general for use across information-system domains, (2) a CNL grammar to represent functional requirements; this grammar is derived from our experience in the financial domain, but should be applicable, possibly with adaptations, to other information-system domains, and (3) an empirical evaluation of our CNL (Rimay) through an industrial case study. Our contributions draw on 15 representative SRSs, collectively containing 3215 NL requirements statements from the financial domain. Our evaluation shows that Rimay is expressive enough to capture, on average, 88% (405 out of 460) of the NL requirements statements in four previously unseen SRSs from the financial domain.

scholarly journals From Evidence to Design Solution—On How to Handle Evidence in the Design Process of Sustainable, Accessible and Health-Promoting Landscapes

2021 ◽  
Vol 13 (6) ◽  
pp. 3249
Author(s):  
Marie C. Gramkow ◽  
Ulrik Sidenius ◽  
Gaochao Zhang ◽  
Ulrika K. Stigsdotter
Keyword(s):  
Design Process ◽  
Process Model ◽  
Design Solution ◽  
Design Criteria ◽  
Evidence Based ◽  
Design Program ◽  
Evidence Collection ◽  
Health Promoting ◽  
Development Goals ◽  
Programming Step

The work of landscape architects can contribute to the United Nation’s Sustainable Development Goals and the associated ‘Leave no one behind’ agenda by creating accessible and health-promoting green spaces (especially goals 3, 10 and 11). To ensure that the design of green space delivers accessibility and intended health outcomes, an evidence-based design process is recommended. This is a challenge, since many landscape architects are not trained in evidence-based design, and leading scholars have called for methods that can help landscape architects work in an evidence-based manner. This paper examines the implementation of a process model for evidence-based health design in landscape architecture. The model comprises four steps: ‘evidence collection’, ‘programming’, ‘designing’, and ‘evaluation’. The paper aims to demonstrate how the programming step can be implemented in the design of a health-promoting nature trail that is to offer people with mobility disabilities improved mental, physical and social health. We demonstrate how the programming step systematizes evidence into design criteria (evidence-based goals) and design solutions (how the design criteria are to be solved in the design). The results of the study are presented as a design ‘Program’, which we hope can serve as an example for landscape architects of how evidence can be translated into design.

Robust methods in analysis of natural language data

2002 ◽  
Vol 8 (2-3) ◽  
pp. 93-96
Author(s):  
AFZAL BALLIM ◽  
VINCENZO PALLOTTA
Keyword(s):  
Information Systems ◽  
Natural Language ◽  
Automated Analysis ◽  
Approximate Analysis ◽  
Robust Methods ◽  
Analysis Techniques ◽  
Intelligent Information Systems ◽  
Recent Interest ◽  
Language Data ◽  
Intelligent Information

The automated analysis of natural language data has become a central issue in the design of intelligent information systems. Processing unconstrained natural language data is still considered as an AI-hard task. However, various analysis techniques have been proposed to address specific aspects of natural language. In particular, recent interest has been focused on providing approximate analysis techniques, assuming that when perfect analysis is not possible, partial results may be still very useful.

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