<p>There exist several methods, which can be used for evaluation of commercially available CASE-tools. Each method has its own focus and is based on specific underlying assumptions. There have been attempts to standardise evaluation of CASE-tools; however available methods differs much from each other.</p><p>One such method, named the 2G method has been proposed, which for each application, will establish a specific evaluation framework. This framework is tailored to the organisation at a specific point in time (since an organisation will change over time). The method consists of two phases which are iterated a sufficient number of times before a stable evaluation framework will be the result. The 2G method has been successfully applied on several applications in different organisations, though only for evaluation of CASE-tools before adoption. In this dissertation we report on an application of the 2G method, which aims to evaluate a CASE-tool from a company context which has already adopted a CASE-tool. As part of this method application the 2G method has also been transferred to the organisation.</p><p>An additional issue this dissertation addresses is what kind of support a general Qualitative Research Tool will offer a method user when using the tool in a 2G method application. Likewise the goal includes to establish is what is poorly or unsupported in such tool in a 2G application.</p><p>This dissertation will show that the 2G method is applicable also in a scenario where a CASE-tool has already been adopted, and therefore demonstrate that the method also is useful in evaluation studies performed after a CASE-tool has been adopted in an organisation. From the experiences of the application points will be made concerning what kind of support one would like to have in a qualitative research tool to simplify the work during the 2G applications.</p>
Identifer | oai:union.ndltd.org:UPSALLA/oai:DiVA.org:his-829 |
Date | January 2003 |
Creators | Zaxmy, Hanna |
Publisher | University of Skövde, Department of Computer Science, Skövde : Institutionen för datavetenskap |
Source Sets | DiVA Archive at Upsalla University |
Language | English |
Detected Language | English |
Type | Student thesis, text |
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