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Deep Green: Modelling Time-Series of Software Energy Consumption.

, , , , and . ICSME, page 273-283. IEEE Computer Society, (2017)

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Popularity Growth Patterns of YouTube Videos - A Category-based Study., and . WEBIST, page 233-242. SciTePress, (2013)CodeShovel: Constructing Method-Level Source Code Histories., , , , and . ICSE, page 1510-1522. IEEE, (2021)An Empirical Study on Maintainable Method Size in Java., , and . MSR, page 252-264. ACM, (2022)GreenScaler: training software energy models with automatic test generation., , , and . Empirical Software Engineering, 24 (4): 1649-1692 (2019)Community-based forwarding for low-capacity pocket switched networks., , , and . MSWiM, page 249-257. ACM, (2014)Category-based user interaction with online user-generated videos: workload characterization., and . CASCON, page 367-370. IBM / ACM, (2014)Revisiting the debate: Are code metrics useful for measuring maintenance effort?, , , and . Empir. Softw. Eng., 27 (6): 158 (2022)CodeShovel: A Reusable and Available Tool for Extracting Source Code Histories., , , , and . ICSE (Companion Volume), page 221-222. IEEE, (2021)Characterizing Videos and Users in YouTube: A Survey., and . BWCCA, page 244-251. IEEE, (2012)Syntax and Stack Overflow: A Methodology for Extracting a Corpus of Syntax Errors and Fixes., , , and . ICSME, page 318-322. IEEE, (2019)