Process Improvement in Requirements Management: A Method Engineering Approach

2008 ◽  
pp. 6-22 ◽  
Author(s):  
Sjaak Brinkkemper ◽  
Inge van de Weerd ◽  
Motoshi Saeki ◽  
Johan Versendaal
Keyword(s):  
Process Improvement ◽  
Method Engineering ◽  
Requirements Management ◽  
Engineering Approach

scholarly journals A linguistic-engineering approach to large-scale requirements management

IEEE Software ◽  
2005 ◽  
Vol 22 (1) ◽  
pp. 32-39 ◽  
Author(s):  
J. Natt och Dag ◽  
B. Regnell ◽  
V. Gervasi ◽  
S. Brinkkemper
Keyword(s):  
Large Scale ◽  
Requirements Management ◽  
Engineering Approach ◽  
Linguistic Engineering

scholarly journals Using a Situational Method Engineering Approach to Identify Reusable Method Fragments from the Secure TROPOS Methodology.

2010 ◽  
Vol 9 (4) ◽  
pp. 93 ◽  
Author(s):  
Graham Low ◽  
Haris Mouratidis ◽  
Brian Henderson-Sellers
Keyword(s):  
Method Engineering ◽  
Engineering Approach

Development of Data Warehouse Conceptual Models

2011 ◽  
pp. 1-23
Author(s):  
Laila Niedrite ◽  
Maris Solodovnikova Treimanis ◽  
Liga Grundmane
Keyword(s):  
Data Warehouse ◽  
Conceptual Models ◽  
Data Warehousing ◽  
Conceptual Modeling ◽  
Requirements Elicitation ◽  
Method Engineering ◽  
Data Warehouses ◽  
Engineering Approach ◽  
New Methods ◽  
Development Approach

There are many methods in the area of data warehousing to define requirements for the development of the most appropriate conceptual model of a data warehouse. There is no universal consensus about the best method, nor are there accepted standards for the conceptual modeling of data warehouses. Only few conceptual models have formally described methods how to get these models. Therefore, problems arise when in a particular data warehousing project, an appropriate development approach, and a corresponding method for the requirements elicitation, should be chosen and applied. Sometimes it is also necessary not only to use the existing methods, but also to provide new methods that are usable in particular development situations. It is necessary to represent these new methods formally, to ensure the appropriate usage of these methods in similar situations in the future. It is also necessary to define the contingency factors, which describe the situation where the method is usable.This chapter represents the usage of method engineering approach for the development of conceptual models of data warehouses. A set of contingency factors that determine the choice between the usage of an existing method and the necessity to develop a new one is defined. Three case studies are presented. Three new methods: userdriven, data-driven, and goal-driven are developed according to the situation in the particular projects and using the method engineering approach.

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