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Enhancing the analysis of software failures in cloud computing systems with deep learning., , , and . J. Syst. Softw., (2021)Fundamentals of Software Aging., , and . Handbook of Software Aging and Rejuvenation, WorldScientific, (2020)No PAIN, no gain? the utility of parallel fault injections., , , , and . Software Engineering, volume P-252 of LNI, page 45-46. GI, (2016)Can we generate shellcodes via natural language? An empirical study., , , , , and . Autom. Softw. Eng., 29 (1): 30 (2022)How bad can a bug get? an empirical analysis of software failures in the OpenStack cloud computing platform., , , , and . ESEC/SIGSOFT FSE, page 200-211. ACM, (2019)Chapter 1: Software Aging and Rejuvenation: A Genesis - Extended Abstract., , , and . ISSRE Workshops, page 319-320. IEEE, (2020)Analyzing the Context of Bug-Fixing Changes in the OpenStack Cloud Computing Platform., , , , , and . ISSRE, page 334-345. IEEE, (2019)The PreCertification Kit for Operating Systems in Safety Domains., , , and . WOSOCER, page 19-24. IEEE Computer Society, (2011)Characterizing Aging Phenomena of the Java Virtual Machine., , and . SRDS, page 127-136. IEEE Computer Society, (2007)Reliable publish/subscribe middleware for time-sensitive internet-scale applications., , and . DEBS, ACM, (2009)