<p>This dissertation concerns the application of a method for developing context dependent CASE-tool evaluation frameworks. Evaluation of CASE-tools prior to adoption is an important but complex issue; there are a number of reports in the literature of the unsuccessful adoption of CASE-tools. The reason for this is that the tools have often failed in meeting contextual expectations. The genuine interest and willingness among organisational stakeholder to participate in the study indicate that evaluation of CASE-tools is indeed a relevant problem, for which method support is scarce.</p><p>To overcome these problems, a systematic approach to pre-evaluation has been suggested, in which contextual demands and expectations are elucidated before evaluating technology support.</p><p>The proposed method has been successfully applied in a field study. This dissertation contains a report and reflections on its use in a specific organisational context. The application process rendered an evaluation framework, which accounts for demands and expectations covering the entire information systems development life cycle relevant to the given context.</p><p>The method user found that method transfer was indeed feasible, both from method description to the analyst and further from the analyst to the organisational context. Also, since the span of the evaluation framework and the organisation to which the method was applied is considered to be large, this indicates that the method scales appropriately for large organisations.</p>

This dissertation concerns the application of a method for developing context dependent CASE-tool evaluation frameworks. Evaluation of CASE-tools prior to adoption is an important but complex issue; there are a number of reports in the literature of the unsuccessful adoption of CASE-tools. The reason for this is that the tools have often failed in meeting contextual expectations. The genuine interest and willingness among organisational stakeholder to participate in the study indicate that evaluation of CASE-tools is indeed a relevant problem, for which method support is scarce. To overcome these problems, a systematic approach to pre-evaluation has been suggested, in which contextual demands and expectations are elucidated before evaluating technology support. The proposed method has been successfully applied in a field study. This dissertation contains a report and reflections on its use in a specific organisational context. The application process rendered an evaluation framework, which accounts for demands and expectations covering the entire information systems development life cycle relevant to the given context. The method user found that method transfer was indeed feasible, both from method description to the analyst and further from the analyst to the organisational context. Also, since the span of the evaluation framework and the organisation to which the method was applied is considered to be large, this indicates that the method scales appropriately for large organisations.

Over the past year, cyber threats have been growing tremendously, which has led to an essential need to strengthen the organization's security. One way of strengthening security is to implement an information security management system (ISMS). Although an ISMS will help improve the information security work within the business, organizations struggle with its implementation, and significantly smaller organizations. That results in smaller organization's information being potentially less protected.This thesis investigates how an ISMS based on MSB can be simplified to make it suitable for a small organization to implement. This thesis aims to open for further research about how it can be simplified and if it has a value of doing it.The study is based on a qualitative approach where semi-structured interviews with experts were conducted. This thesis concludes that it is possible to simplify an ISMS based on MSB for a small organization by removing external analysis, information classification, information classification model, continuity management for information assets, and incident management. In addition, the study provides tips on what a small organization should think about before and during implementation.

As all genres of popular music, classical music consists of many different subgenres. The aim of this work is to recognize those subgenres from orchestral recordings. It is focused on the time period from the very end of 16th century to the beginning of 20th century, which means that Baroque era, Classical era and Romantic era are researched. The Music Information Retrieval (MIR) method was used to classify chosen subgenres. In the first phase of MIR method, parameters were extracted from musical recordings and were evaluated. Only the best parameters were used as input data for machine learning classifiers, to be specific: kNN (K-Nearest Neighbor), LDA (Linear Discriminant Analysis), GMM (Gaussian Mixture Models) and SVM (Support Vector Machines). In the final chapter, all the best results are summarized. According to the results, there is significant difference between the Baroque era and the other researched eras. This significant difference led to better identification of the Baroque era recordings. On the contrary, Classical era ended up to be relatively similar to Romantic era and therefore all classifiers had less success in identification of recordings from this era. The results are in line with music theory and characteristics of chosen musical eras.