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Technical Debt: Showing the Way for Better Transfer of Empirical Results.

, , , , and . Perspectives on the Future of Software Engineering, page 179-190. Springer, (2013)

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A value-based approach for documenting design decisions rationale: a replicated experiment., , and . SHARK, page 63-70. ACM, (2008)Investigating the Relationship between Technical Debt Management and Software Development Issues., , , , , , , , , and 7 other author(s). J. Softw. Eng. Res. Dev., (2023)Combining Goal Models, Expert Elicitation, and Probabilistic Simulation for Qualification of New Technology., , , , , , and . HASE, page 63-72. IEEE Computer Society, (2011)Worst Smells and Their Worst Reasons., and . TechDebt@ICSE, page 45-54. IEEE, (2021)Leveraging the Defects Life Cycle to Label Affected Versions and Defective Classes., , and . CoRR, (2020)Decision-making techniques for software architecture design: A comparative survey., , , and . ACM Comput. Surv., 43 (4): 33:1-33:28 (2011)VALIDATE: A deep dive into vulnerability prediction datasets., and . Inf. Softw. Technol., (2024)A Systematic Mapping Study on Impact Analysis., , and . ICSOFT, page 375-382. SCITEPRESS, (2024)On failure classification: the impact of "getting it wrong"., , , and . ICSE Companion, page 512-515. ACM, (2014)Optimizing Prediction Intervals by Tuning Random Forest via Meta-Validation., and . CoRR, (2018)