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Can NMT Understand Me? Towards Perturbation-based Evaluation of NMT Models for Code Generation.

, , , , , and . NLBSE, page 59-66. ACM/IEEE, (2022)

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Can we generate shellcodes via natural language? An empirical study., , , , , and . Autom. Softw. Eng., 29 (1): 30 (2022)Fundamentals of Software Aging., , and . Handbook of Software Aging and Rejuvenation, WorldScientific, (2020)Enhancing the analysis of software failures in cloud computing systems with deep learning., , , and . J. Syst. Softw., (2021)No PAIN, no gain? the utility of parallel fault injections., , , , and . Software Engineering, volume P-252 of LNI, page 45-46. GI, (2016)A Service Differentiation Scheme for the End-System., , and . IDMS, volume 2158 of Lecture Notes in Computer Science, page 99-109. Springer, (2001)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)Automated Logging of Mobile Phones Failures Data., , and . ISORC, page 520-530. IEEE Computer Society, (2006)Assessing time coalescence techniques for the analysis of supercomputer logs., , and . DSN, page 1-12. IEEE Computer Society, (2012)