@inproceedings {rolfsnes:ase:2017,
	title = {Predicting Relevance of Change Recommendations},
	journal = {The IEEE/ACM International Conference on Automated Software Engineering (ASE)},
	year = {2017},
	publisher = {IEEE},
	abstract = {Software change recommendation seeks to suggest artifacts (e.g., files or methods) that are related to changes made by a developer, and thus identifies possible omissions or next steps. While one obvious challenge for recommender systems is to produce accurate recommendations, a complimentary challenge is to rank recommendations based on their relevance. In this paper, we address this challenge for recommendation systems that are based on evolutionary coupling. Such systems use targeted association-rule mining to identify relevant patterns in a software system{\textquoteright}s change history. Traditionally, this process involves ranking artifacts using interestingness measures such as confidence and support. However, these measures often fall short when used to assess recommendation relevance.We propose the use of random forest classification models to assess recommendation relevance. This approach improves on past use of various interestingness measures by learning from previous change recommendations. We empirically evaluate our approach on fourteen open source systems and two systems from our industry partners. Furthermore, we consider complimenting two mining algorithms: CO-CHANGE and TARMAQ. The results find that random forest classification significantly outperforms previous approaches, receives lower Brier scores, and has superior trade-off between precision and recall. The results are consistent across software system and mining algorithm.\&nbsp;\&nbsp;\&nbsp;},
	keywords = {evolutionary coupling, random forests, recommendation confidence, targeted association rule mining},
	isbn = {978-1-5386-2684-9},
	doi = {10.1109/ASE.2017.8115680},
	url = {https://evolveit.bitbucket.io/publications/ase2017/},
	author = {Thomas Gramstad {Rolfsnes} and Moonen, Leon and Binkley, David},
	editor = {Ruso, Gregore and Di Penta, Massimiliano and Tien N. {Nguyen}}
}
@article {Simula.SE.403,
	title = {Assessing, Comparing, and Combining State Machine-Based Testing and Structural Testing: a Series of Experiments},
	journal = {IEEE Transactions on Software Engineering},
	volume = {37},
	number = {2},
	year = {2011},
	publisher = {IEEE},
	author = {Mouchawrab, Samar and Briand, Lionel Claude and Labiche, Yvan and Di Penta, Massimiliano}
}
@inproceedings {Simula.SE.141,
	title = {Assessment of Software System Evolvability},
	journal = {International Workshop on Principles of Software Evolution (IWPSE 2007)},
	year = {2007},
	pages = {71-74},
	publisher = {ACM},
	type = {Workshop},
	abstract = {The evolvability, the ease of further development, of a software systems is difficult to assess, but may have large economic consequences. Many studies have investigated the relations between particular software metrics and effort on evolving individual classes, but little attention has been given to methods for assessing and measuring evolvability of complete software systems. This paper discusses such methods, and motivates that they should use a combination of structural code measures and expert assessments. This is exemplified in a case study assessing the evolvability of four functionally equivalent systems. The paper also gives with directions for future work on evolvability assessments.},
	isbn = {978-1-59593-811-4},
	author = {Anda, Bente Cecilie Dahlum},
	editor = {Di Penta, Massimiliano and Lanza, Michele}
}
@article {scam06specialissue,
	title = {Special Issue on Source Code Analysis and Manipulation},
	journal = {Journal of Software Maintenance and Evolution: Research and Practice},
	volume = {19},
	number = {-},
	year = {2007},
	month = {jul},
	pages = {203-204},
	author = {Di Penta, Massimiliano and Moonen, Leon}
}
@book {scam06a,
	title = {Proceedings Sixth IEEE International Conference on Source Code Analysis and Manipulation (SCAM)},
	year = {2006},
	publisher = {IEEE},
	isbn = {0-7695-2353-6},
	author = {Di Penta, Massimiliano and Moonen, Leon}
}
@article {Simula.SE.22,
	title = {An Experimental Investigation of Formality in UML-Based Development},
	journal = {IEEE Transactions on Software Engineering},
	volume = {vol. 31},
	number = {nr. 10},
	year = {2005},
	pages = {p. 833-849},
	author = {Briand, Lionel and Labiche, Yvan and Di Penta, Massimiliano and H. D. {Yan-Bondoc}}
}
@inproceedings {Simula.SE.63,
	title = {A Controlled Experiment on the Impact of the Object Constraint Language in UML-Based Development},
	journal = {IEEE Conference on Software Maintenance (ICSM 2004)},
	year = {2004},
	publisher = {Publisher},
	type = {Conference},
	isbn = {0000000000},
	author = {Briand, Lionel and Labiche, Yvan and Han Daphne {Yan} and Di Penta, Massimiliano}
}
@inproceedings {Simula.SE.72,
	title = {An Experiment Using the Round-Trip Strategy for State-Based Class Testing},
	journal = {IEEE International Symposium on Software Reliability Engineering (ISSRE)},
	year = {2002},
	type = {Conference},
	author = {Briand, Lionel and Antoniol, G. and Di Penta, Massimiliano and Labiche, Yvan}
}
