From Conceptual Modeling to Requirements Engineering

2006 ◽  
pp. 5-11 ◽  
Author(s):  
Colette Rolland
Keyword(s):  
Requirements Engineering ◽  
Conceptual Modeling

scholarly journals Information system development with the enhancement of CASE tools functionality

2010 ◽  
Vol 23 (1) ◽  
pp. 55-61
Author(s):  
Igor Novakovic ◽  
Velimir Deletic ◽  
Milan Deletic
Keyword(s):  
Information System ◽  
Requirements Engineering ◽  
System Development ◽  
Conceptual Modeling ◽  
Information Flows ◽  
Information System Development ◽  
Case Tools ◽  
Further Development

This paper presents how functionality of certain CASE tools can be extended in order to facilitate requirements engineering. It describes the technique for information flows analysis, which can be used in conceptual modeling and further development of the system. .

Conceptual Modeling in Requirements Engineering

2011 ◽  
pp. 53-67
Author(s):  
Javier Andrade Garda ◽  
Juan Ares Casa ◽  
Rafael García Vázquez ◽  
Santiago Rodríguez Yáñez
Keyword(s):  
Software Engineering ◽  
Conceptual Model ◽  
Requirements Engineering ◽  
Software Quality ◽  
Conceptual Modeling ◽  
Problem Domain ◽  
Representative Study

This chapter focuses on software engineering conceptual modeling, its current weaknesses, and the alternatives to overcome them. It is clear that software quality has its genesis in the conceptual model and depends on how well this model matches the problem in question. However, this chapter presents a representative study of the analysis approaches that highlights that (i) they have traditionally focused on implementation and have paid little or no attention to the problem domain and (ii) they have omitted the various stakeholders (viewpoints) generally involved in any problem. The proposed alternatives are based on those aspects that are related to a generic conceptualisation, independent of the implementation paradigms.

Requirements Engineering for Value Webs

2011 ◽  
pp. 209-225
Author(s):  
Jaap Gordijn
Keyword(s):  
Information Systems ◽  
Requirements Engineering ◽  
Business Processes ◽  
Economic Value ◽  
Conceptual Modeling ◽  
Lessons Learned ◽  
Point Of View ◽  
Technical Point ◽  
Organizational Information ◽  
The Right

Value webs are cooperating, networked enterprises and end-consumers that create, distribute, and consume things of economic value. The task of creating, designing, and analyzing such webs is a prototypical example of a multi-disciplinary task. Business-oriented stakeholders are involved because the way an enterprise creates economic value is discussed. But also representatives responsible for business processes (many innovative value webs require changes in processes) and inter-organizational information systems (enabling value webs from a technical point of view) play a key role, as well as end-consumers. To facilitate exploration and analysis of such value webs, we propose an approach called e3value that utilizes terminology from business sciences, marketing, and axiology but is founded on methodology seen in requirements engineering such as semi-formal, lightweight graphical conceptual modeling, multiple viewpoints, and scenario techniques. We have developed and tested this methodology in a series of e-business consultancy projects. In this chapter we will present lessons learned in developing value webs, which stem from our consultancy experience. Then we present the e3value methodology, with a focus on modeling and understanding what parties offer each other of economic value. Analysing value webs from such an economic value perspective is the main contribution of our approach; business science approaches contain the right terminology but are far too sloppy to be usable in practice, whereas requirements engineering and conceptual modeling approaches are sufficiently rigorous but do not provide adequate terminology. For educational purposes, we illustrate the methodology with an easy-to-understand, inline example. Finally we discuss related approaches and conclusions.

CONCEPTUAL MODELING LANGUAGE AGILA MOD

2019 ◽  
Vol 2 (4) ◽  
pp. 246-258 ◽  
Author(s):  
Lore Kern-Bausch ◽  
Kolonko Matthias ◽  
Sabine Müllenbach
Keyword(s):  
Conceptual Modeling ◽  
Modeling Language
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