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2016
T. Rolfsnes, L. Moonen, S. Di Alesio and D. Binkley. Exploring the Design Space of Association Rule Mining Algorithms for Change Recommendation. Simula Research Laboratory, 2016.
L. Moonen, S. Di Alesio, T. Rolfsnes and D. Binkley. Exploring the Effects of History Length and Age on Mining Software Change Impact In International Working Conference on Source Code Analysis and Manipulation (SCAM). IEEE, 2016.PDF icon exploring_the_effects_of_history_length_and_age_on_mining_software_change_impact.pdf (468.7 KB)
L. Moonen, S. Di Alesio, T. Rolfsnes and D. Binkley. Exploring the Effects of History Length and Age on Mining Software Change Impact. Simula Research Laboratory, 2016.
T. Rolfsnes, S. Di Alesio, R. Behjati, L. Moonen and D. Binkley. Generalizing the Analysis of Evolutionary Coupling for Software Change Impact Analysis In 23rd IEEE International Conference on Software Analysis, Evolution, and Reengineering (SANER). IEEE, 2016.PDF icon tarmaq_saner2016.pdf (512.07 KB)
T. Rolfsnes, L. Moonen, S. Di Alesio, R. Behjati and D. Binkley. Improving Change Recommendation using Aggregated Association Rules In 13th International Conference on Mining Software Repositories (MSR). ACM, 2016.PDF icon improving_change_recommendation_using_aggregated_association_rules_-_msr_-_2016.pdf (251.68 KB)
L. Moonen, S. Di Alesio, D. Binkley and T. Rolfsnes. Practical Guidelines for Change Recommendation using Association Rule Mining. Simula Research Laboratory, 2016.PDF icon simula-tr-2016-09.pdf (437.07 KB)
L. Moonen, S. Di Alesio, D. Binkley and T. Rolfsnes. Practical Guidelines for Change Recommendation using Association Rule Mining In IEEE/ACM International Conference on Automated Software Engineering (ASE). ACM, 2016.PDF icon practical_guidelines_for_change_recommendation_using_association_rule_mining.pdf (634.33 KB)