Contains the keyword software evolution
An Empirical Study of Architectural Change in Open-Source Software Systems [Internet]. 12th Working Conference on Mining Software Repositories (MSR 2015). IEEE; 2015. http://softarch.usc.edu/~pooyan/publications/emparch_msr15.pdf emparch_msr15.pdf (269.21 KB) .
Evaluation of FLOSS by Analyzing Its Software Evolution:. Journal of Information Technology Research. 2015;8(1):62 - 81. Evaluation of FLOSS by Analyzing its Software Evolution - An Example Using the Moodle Platform.pdf (421.19 KB) .
Candoia: A Platform and an Ecosystem for Building and Deploying Versatile Mining Software Repositories Tools [Internet]. Iowa State University Computer Science Technical Reports. Iowa State University; 2015 . http://lib.dr.iastate.edu/cgi/viewcontent.cgi?article=1378&context=cs_techreports Candoia- A Platform and an Ecosystem for Building and Deploying V.pdf (1.94 MB) .
Studying software evolution using topic models. Science of Computer Programming [Internet]. Elsevier; 2014;80:457–479. http://sail.cs.queensu.ca/publications/pubs/Thomas-2012-SCP.pdf .
An application of data envelopment analysis to software quality assessment. In Proceedings of the 6th Balkan Conference in Informatics [Internet]. New York, NY, USA: ACM; 2013. pp. 228–235. http://doi.acm.org/10.1145/2490257.2490264 .
Forking the Commons: Developmental Tensions and Evolutionary Patterns in Open Source Software. IFIP Advances in Information and Communication Technology 378 (OSS 2012). IFIP AICT, Springer; 2012. pp. 310-315. .
A Comprehensive Study of Software Forks: Dates, Reasons and Outcomes. IFIP Advances in Information and Communication Technology (OSS 2012). IFIP AICT; 2012. pp. 1-14. paper.pdf (159.02 KB) .
Studying the impact of social interactions on software quality. Empirical Software Engineering. 2012;. .
What do large commits tell us?: a taxonomical study of large commits. In Proceedings of the 2008 international working conference on Mining software repositories [Internet]. New York, NY, USA: ACM; 2008. pp. 99–108. http://doi.acm.org/10.1145/1370750.1370773 p99-hindle.pdf (154.38 KB) .
Self-organization process in open-source software: An empirical study. Information and Software Technology [Internet]. 2008;50(5):361 - 374. http://www.sciencedirect.com/science/article/pii/S0950584907000225 .