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Erik Arisholm

Simula Research Laboratory's main objective is to generate new understanding and create vital knowledge about fundamental scientific challenges that are of genuine value for society. Important research with long-term impact in the fields of networks and distributed systems, scientific computing and software engineering constitutes the basis of Simula. The strong focus on basic research is combined with both teaching of postgraduate students and development of commercial applications.

Latest content created by this user

Article in International Journal
A Systematic and Comprehensive Investigation of Methods to Build and Evaluate Fault Prediction Models Nov 13, 2008
Are Two Heads Better than One? On the Effectiveness of Pair Programming Sep 11, 2007
Improving the effectiveness of root cause analysis in post mortem analysis: A controlled experiment Jun 15, 2007
The Effect of Task Order on the Maintainability of Object-Oriented Software Mar 05, 2007
The Impact of UML Documentation on Software Maintenance: An Experimental Evaluation Aug 18, 2005
Edited Book
Proceedings of the First Workshop on Empirical Studies of Model-Driven Engineering (ESMDE) Sep 17, 2008
Chapter in Book
A Series of Controlled Experiments on Software Maintenance Feb 26, 2009
Evaluating the Effect of a Delegated versus Centralized Control Style on the Maintainability of Object-Oriented Software Mar 21, 2006
PhD Thesis
Empirical Evaluation of the Costs and Benefits of UML in Software Maintenance Mar 11, 2009
Refereed Proceeding
Data Mining Techniques for Building Fault-proneness Models in Telecom Java Software Feb 07, 2007
Educational Approach to an Experiment in a Software Archiecture Course Jan 02, 2007
Predicting Fault-prone Components in a Java Legacy System May 08, 2006
Measuring Software Methodology Usage: Challenges of Conceptualization and Operationalization Jun 06, 2005
Technical Report
The Impact of UML Documentation on Software Maintenance: An Experimental Evaluation Aug 17, 2005
A Systematic and Comprehensive Investigation of Methods to Build and Evaluate Fault Prediction Models Nov 13, 2008
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