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Bottom-up technologies for reuse: automated extractive adoption of software product lines.

, , , , and . ICSE (Companion Volume), page 67-70. IEEE Computer Society, (2017)

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What Made This Test Flake? Pinpointing Classes Responsible for Test Flakiness., , , , , , and . ICSME, page 352-363. IEEE, (2022)Validity fuzzing and parametric generators for effective random testing., , , , and . ICSE (Companion Volume), page 266-267. IEEE / ACM, (2019)Profiling household appliance electricity usage with N-gram language modeling., , , , and . ICIT, page 604-609. IEEE, (2016)Measuring and Improving Design Patterns Testability., , , and . IEEE METRICS, page 50-. IEEE Computer Society, (2003)System Testing of Product Lines: From Requirements to Test Cases., , and . Software Product Lines, Springer, (2006)What You See is What it Means! Semantic Representation Learning of Code based on Visualization and Transfer Learning., , , , and . CoRR, (2020)Learning To Predict Vulnerabilities From Vulnerability-Fixes: A Machine Translation Approach., , , , , and . CoRR, (2020)Test Selection for Deep Learning Systems., , , , and . ACM Trans. Softw. Eng. Methodol., 30 (2): 13:1-13:22 (2021)Smart discovery of periodic-frequent human routines for home automation., , , and . MobiQuitous, page 268-277. ACM, (2019)Popularity-Driven Ontology Ranking Using Qualitative Features., , and . ISWC (1), volume 11778 of Lecture Notes in Computer Science, page 329-346. Springer, (2019)