DNV GL

About: DNV GL is a company organization based out in Sandvika, Norway. It is known for research contribution in the topics: Corrosion & Finite element method. The organization has 1929 authors who have published 2387 publications receiving 34644 citations.

Optique: OBDA Solution for Big Data

Abstract: Accessing the relevant data in Big Data scenarios is increasingly difficult both for end-user and IT-experts, due to the volume, variety, and velocity dimensions of Big Data.This brings a hight cost overhead in data access for large enterprises. For instance, in the oil and gas industry, IT-experts spend 30-70% of their time gathering and assessing the quality of data [1]. The Optique project ( http://www.optique-project.eu/ ) advocates a next generation of the well known Ontology-Based Data Access (OBDA) approach to address the Big Data dimensions and in particular the data access problem. The project aims at solutions that reduce the cost of data access dramatically.

Applying DPPI: a defect causal analysis approach using bayesian networks

Abstract: Defect causal analysis (DCA) provides a means for product-focused software process improvement. A DCA approach, called DPPI (Defect Prevention-based Process Improvement), was assembled based on DCA guidance obtained from systematic reviews and on feedback gathered from experts in the field. According to the systematic reviews, and to our knowledge, DPPI represents the only approach that integrates cause-effect learning mechanisms (by using Bayesian networks) into DCA meetings. In this paper we extend the knowledge regarding the feasibility of using DPPI by the software industry, by describing the experience of applying it end-to-end to a real Web-based software project and providing additional industrial usage considerations. Building and using Bayesian networks in the context of DCA showed promising preliminary results and revealed interesting possibilities.