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Applying Machine Learning in Technical Debt Management: Future Opportunities and Challenges., , , and . QUATIC, volume 1266 of Communications in Computer and Information Science, page 53-67. Springer, (2020)Technical Debt Management and Energy Consumption Evaluation in Implantable Medical Devices: The SDK4ED Approach., , , , , and . SAMOS, volume 12471 of Lecture Notes in Computer Science, page 348-358. Springer, (2020)Temporal Discounting in Software Engineering: A Replication Study., , , , , , , and . ESEM, page 1-12. IEEE, (2019)Performance and power evaluation of C++ object-oriented programming in embedded processors.. Inf. Softw. Technol., 45 (4): 195-201 (2003)JCaliper: search-based technical debt management., , , , , and . SAC, page 1721-1730. ACM, (2019)Evaluating Power Efficient Data-Reuse Decisions For Embedded Multimedia Applications: An Analytical Approach., , and . J. Circuits Syst. Comput., 13 (1): 151-180 (2004)REACT - A Process for Improving Open-Source Software Reuse., , , , and . QUATIC, page 251-254. IEEE Computer Society, (2018)Application of graph theory to OO software engineering., , and . WISER, page 29-36. ACM, (2006)Power exploration of parallel embedded architectures implementing data-reuse transformations., , , , , , and . ICECS, page 781-784. IEEE, (2001)Power reduction for multimedia applications through data-reuse memory exploration., , and . ICECS, page 1065-1068. IEEE, (2001)