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AutoFocus: Interpreting Attention-Based Neural Networks by Code Perturbation.

, , and . ASE, page 38-41. IEEE, (2019)

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Reducing build time through precompilations for evolving large software, , , and . International Conference on Software Maintenance (ICSM 2005), page 59--68. Budapest, Hungary, The IEEE Computer Society, (September 2005)AutoFocus: Interpreting Attention-Based Neural Networks by Code Perturbation., , and . ASE, page 38-41. IEEE, (2019)A Feature Table approach to decomposing monolithic applications into microservices., , , and . Internetware, page 21-30. ACM, (2020)Quantum Cognitively Motivated Decision Fusion for Video Sentiment Analysis., , , , , and . AAAI, page 827-835. AAAI Press, (2021)TreeCaps: Tree-Based Capsule Networks for Source Code Processing., , and . AAAI, page 30-38. AAAI Press, (2021)A Feature Table approach to decomposing monolithic applications into microservices., , , and . CoRR, (2021)Unleashing the Power of Clippy in Real-World Rust Projects., , , , , and . CoRR, (2023)LIPSYNC.AI: A.I. Driven Lips and Tongue Animations Using Articulatory Phonetic Descriptors and FACS Blendshapes., , , , and . SIGGRAPH ASIA Emerging Technologies, page 9:1-9:2. ACM, (2021)An RE'23 Workshop on Environment-Driven Requirements Engineering (EnviRE'23)., , and . REW, page 168-169. IEEE, (2023)Cautious Adaptation of Defiant Components., , , , , and . ASE, page 974-985. IEEE, (2019)