Part 4: Industrial KeynoteInternational audienceAs the pace of business increases, the speed at which enterprise models must be delivered increases accordingly. Enterprise modelers cannot spend years in an attic developing perfect models, but must deliver models that are useful in time to be used. In this paper I will take a look at the experiences we have with enterprise modeling in Statoil, a global oil company headquartered in Norway

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Abstract. As approaches and tools for process and enterprise modelling are maturing, these techniques are being taken into use on a large scale in an increasing number of organizations. In this paper we report on the use of process modelling in connection to the quality system of Statoil, a large Norwegian oil company, in particular, on the aspects found necessary to be emphasized to achieve the appropriate quality of the models in this organization. Based on the investigation of usage statistics and user feedback on models, we have identified that there are problems in comprehending some of the models. Some of these models has poorer syntactic quality than the average syntactic quality of models of the same size. An experiment with improving syntactic quality on some of these models has given mixed results, and it appears that certain syntactic errors hinder comprehension more than others.

Test Driven Development (TDD) is a software engineering technique to promote fast feedback, taskoriented development, improved quality assurance and more comprehensible low-level software design. Benefits have been shown for non-reusable software development in terms of improved quality (e.g. lower defect density). We have carried out an empirical study of a framework of reusable components, to see whether these benefits can be shown for reusable components. The framework is used in building new applications and provides services to these applications during runtime. The three first versions of this framework were developed using traditional test-last development, while for the two latest versions TDD was used. Our results show benefits in terms of reduced mean defect density (35.86%), when using TDD, over two releases. Mean change density was 76.19% lower for TDD than for test-last development. Finally, the change distribution for the TDD approach was 33.3% perfective, 5.6% adaptive and 61.1% preventive.

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