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Data Decomposition for Code Parallelization in Practice: What Do the Experts Need?, , , , and . HPCC/EUC, page 754-761. IEEE, (2013)Identifying Feature Clones: An Industrial Case Study., , , , and . SANER, page 544-548. IEEE, (2019)An empirical framework for evaluating interoperability of data exchange standards based on their actual usage: A case study on XLIFF., , , and . Comput. Stand. Interfaces, (2015)Challenges of evolving sequential to parallel code: an exploratory review., , and . EVOL/IWPSE, page 1-5. ACM, (2011)Preliminary Study to Empirically Investigate the Comprehensibility of Requirements Specifications., , and . PPIG, page 16. Psychology of Programming Interest Group, (2005)ESCAPE Meta Modelling in Software Engineering: When Premature Commitment is Useful in Representations., , , and . PPIG, page 7. Psychology of Programming Interest Group, (2007)Spatial measures of software complexity., , and . PPIG, page 6. Psychology of Programming Interest Group, (1999)Using Changeset Descriptions as a Data Source to Assist Feature Location., , and . CoRR, (2024)Taxonomy of centralization in public blockchain systems: A systematic literature review., , , and . Inf. Process. Manag., 58 (4): 102584 (2021)JITTAC: a just-in-time tool for architectural consistency., , , and . ICSE, page 1291-1294. IEEE Computer Society, (2013)