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How developers engage with static analysis tools in different contexts., , , , , and . Empir. Softw. Eng., 25 (2): 1419-1457 (2020)Fairness-aware machine learning engineering: how far are we?, , , , and . Empir. Softw. Eng., 29 (1): 9 (February 2024)Guest Editorial: Special Issue on Software Engineering for Mobile Applications., , , and . Empir. Softw. Eng., 24 (6): 3249-3254 (2019)Machine learning-based test smell detection., , , , , and . Empir. Softw. Eng., 29 (2): 55 (April 2024)Discovering community patterns in open-source: a systematic approach and its evaluation., , , and . Empir. Softw. Eng., 24 (3): 1369-1417 (2019)Not all bugs are the same: Understanding, characterizing, and classifying bug types., , , and . J. Syst. Softw., (2019)Crowdsourcing user reviews to support the evolution of mobile apps., , , , , , and . J. Syst. Softw., (2018)A critical comparison on six static analysis tools: Detection, agreement, and precision., , , , and . J. Syst. Softw., (April 2023)Introduction to the Software Quality for Artificial Intelligence (SQA4AI) special issue., , , and . Sci. Comput. Program., (July 2023)On the impact of code smells on the energy consumption of mobile applications., , , , and . Inf. Softw. Technol., (2019)