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Agile Uncertainty Assessment for Benefit Points and Story Points." IEEE Software 36, no. 4 (2019): 50-62."
Benefit and Cost Periodized – Stretching Your Points." IEEE Software (2017)."
Benefit Points – The Best Part of the Story." IEEE Software 34, no. 3 (2017): 73-85."
Earned Business Value Management – See that You Deliver Value to Your Customer –." IEEE Software 34, no. 4 (2017): 58-70."
Does the Prioritization Technique Affect Stakeholders' Selection of Essential Software Product Features? In Proceedings of IEEE International Conference on Empirical Software Engineering and Measurement (ESEM 2012). New York, NY, USA: ACM, 2012.
A Comparison of Model-Based and Judgment-Based Release Planning in Incremental Software Projects In ACM/IEEE International Conference on Software Engineering. ACM New York, NY, USA, 2011.
Does the Prioritization Technique Affect Stakeholders' Selection of Essential Software Product Features? In 5th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement. ACM, 2011.
A Literature Review of Agile Practices and Their Effects in Scientific Software Development In Proceedings of SE-CSE11, Edited by J. Carver., 2011.
Forskning På PERFORM Hva Har Vi Funnet Ut? In Talk given at Agile fagdag Statens Pensjonskasse August 27., 2010.
A Method to Measure Productivity Trends During Software Evolution." In CCIS - Evaluation of Novel Approaches to Software Engineering, edited by L. A. Maciaszek, C. Gonz´lez-Pérez and S. Jablonski, 147-162. Vol. 69. Communications in Computer and Information Science 69. Springer, 2010."
Perceived Productivity Threats in Large Agile Development Projects In International Symposium on Empirical Software Engineering and Measurement (ESEM 2010), Edited by M. G. M. Succi and N. Nagappan. ACM, 2010.
Understanding the Cost of Software Change: a Quantitative and Qualitative Investigation of Change Effort During Evolution of Two Software Systems." Empirical Software Engineering 15 (2010): 166-203."
Are We More Productive Now? Analyzing Change Tasks to Assess Productivity Trends During Software Evolution In Evaluation of Novel Approaches to Software Engineering (ENASE), Edited by S. Jablonski and L. A. Maciaszek. Elsevier, 2009.
Empirical Assessment of Cost Factors and Productivity During Software Evolution Through the Analysis of Software Change Effort. University of Oslo, 2009.
Understanding Software Maintenance and Evolution by Analyzing Individual Changes: a Literature Review." Journal of Software Maintenance and Evolution: Research and Practice 21 (2009): 349-378."
Using Concept Mapping for Maintainability Assessments In 3rd IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM), Edited by J. Miller and R. Selby. IEEE, 2009.
Assessing the Reliability of Developers' Classification of Change Tasks: a Field Experiment. Simula Research Laboratory, 2008.
An Investigation of Change Effort in Two Evolving Software Systems. Simula Research Laboratory, 2008.
A Systematic Review of Empirical Software Engineering Studies That Analyze Individual Changes. Simula Research Laboratory, 2008.
Using Planning Poker for Combining Expert Estimates in Software Projects." Journal of Systems and Software 81 (2008): 2106-2117."
Assessing Software Product Maintainability Based on Class-Level Structural Measures In 7th International Conference on Product-focused Software Process Improvement (PROFES), Edited by J. Münch. Lecture Notes in Computer Science. Springer-Verlag, 2006.
How to Recruit Professionals As Subjects in Software Engineering Experiments In IRIS (Information Systems Research in Scandinavia), August 6-9, Kristiansand Norway, Edited by H. E., M. B.E., R. K. and F. L.S.. Department of Information Systems, Agder University College, 2005.
A Multiple-Case Study of Effort Estimation Based on Use Case Points In ISESE'2005 (Fourth International Symposium on Empirical Software Engineering). IEEE Computer Society, Noosa, Australia, November 17-18, 2005.