Search for dissertations about: "evaluation Information systems"

Showing result 21 - 25 of 990 swedish dissertations containing the words evaluation Information systems.

2. 21. Software Defect Prediction Techniques in Automotive Domain: Evaluation, Selection and Adoption

   Author : Rakesh Rana; Göteborgs universitet; []
   Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Software Defect Prediction; Automotive; Evaluation; Test Resource Allocation; Release Readiness;

   Abstract : Software is becoming an increasingly important part of automotive product development. While software in automotive domain enables important functionality and innovations, it also requires significant effort for its verification & validation to meet the demands of safety, high quality and reliability. READ MORE

4. 22. Information and Communication Technology Applied for Developing Countries in a Rural Context : Towards a Framework for Analysing Factors Influencing Sustainable Use

   Author : Susanne Sundén; Gudrun Wicander; John-Sören Pettersson; Anders G. Nilsson; Louise Yngström; Karlstads universitet; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; Informatics; Informatik; Information Systems; Informatik;

   Abstract : Information and Communication Technology (ICT) has been considered a tool that can be used to achieve development goals in developing countries. In the same time, the majority of people living in developing countries, and especially those in rural areas lack access to ICT. READ MORE

5. 23. Benefits of Digital Technical Information

   Author : Karin Ahlin; Erik A. M. Borglund; Lena-Maria Öberg; Tero Päivärinta; Pasi Tyrväinen; Mittuniversitetet; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; digital technical information; benefit; intangible benefit; interpretative research; manufacturing organization; digital teknikinformation; nytta; omätbara nyttor; tolkande forskning; tillverkande organisation;

   Abstract : In our daily work life, we use a wealth of information, including a category of information produced as a part of products and their life-cycle phases, named digital technical information (DTI). Manufacturing organizations focus more often on the product than on DTI, because DTI’s impact seems almost invisible, despite its crucial role to the product and its life-cycle phases, development, production, maintenance, and destruction. READ MORE

6. 24. Data-Driven User Behavior Evaluation

   Author : Julia Orlovska; Chalmers tekniska högskola; []
   Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; vehicle data; ADAS; driver behavior; data-driven evaluation;

   Abstract : Automotive Original Equipment Manufacturers (OEMs) compete worldwide to stand out with new trends and technologies. Automated Driver Assistance Systems (ADAS) are an example of advanced solutions where a lot of effort is put into the development and utilization of vehicle data. READ MORE

7. 25. Dynamic Resampling for Preference-based Evolutionary Multi-objective Optimization of Stochastic Systems : Improving the efficiency of time-constrained optimization

   Author : Florian Siegmund; Kalyanmoy Deb; Amos H.C. Ng; Sanaz Mostaghim; Högskolan i Skövde; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Evolutionary multi-objective optimization; simulation-based optimization; guided search; preference-based optimization; reference point; decision support; noise; stochastic systems; dynamic resampling; budget allocation; sequential sampling; hybrid; ranking and selection; Natural sciences; Naturvetenskap; Technology; Teknik; Production and Automation Engineering; Produktion och automatiseringsteknik;

   Abstract : In preference-based Evolutionary Multi-objective Optimization (EMO), the decision maker is looking for a diverse, but locally focused non-dominated front in a preferred area of the objective space, as close as possible to the true Pareto-front. Since solutions found outside the area of interest are considered less important or even irrelevant, the optimization can focus its efforts on the preferred area and find the solutions that the decision maker is looking for more quickly, i. READ MORE