- author = "David Nader-Palacio and Daniel Rodriguez-Cardenas and Jonatan Gomez",
- title = "Assessing Single-Objective Performance Convergence and Time Complexity for Refactoring Detection",
- booktitle = "5th edition of GI @ GECCO 2018",
- year = "2018",
- editor = "Brad Alexander and Saemundur O. Haraldsson and Markus Wagner and John R. Woodward and Shin Yoo",
- pages = "1606--1613",
- address = "Kyoto, Japan",
- month = "15-19 " # jul,
- organisation = "ACM SIGEvo",
- publisher = "ACM",
- keywords = "genetic algorithms, genetic programming, genetic improvement, SBSE, Combinatorial Optimization, Mathematical Software Performance, Refactoring, Software Maintenance",
- isbn13 = "978-1-4503-5764-7",
- acmid = "3208294",
-
URL = "
http://www.cs.stir.ac.uk/events/gecco-gi-2018/papers/assessing_single-objective_performance_convergence_and_time_complexity_for_refactoring_detection.pdf",
-
DOI = "
10.1145/3205651.3208294",
- size = "8 pages",
- abstract = "The automatic detection of refactoring recommendations has been tackled in prior optimization studies involving bad code smells, semantic coherence and importance of classes; however, such studies informally addressed formalisms to standardize and replicate refactoring models. We propose to assess the refactoring detection by means of performance convergence and time complexity. Since the reported approaches are difficult to reproduce, we employ an Artificial Refactoring Generation (ARGen) as a formal and naive computational solution for the Refactoring Detection Problem. ARGen is able to detect massive refactoring sets in feasible areas of the search space. We used a refactoring formalization to adapt search techniques (Hill Climbing, Simulated Annealing and Hybrid Adaptive Evolutionary Algorithm) that assess the performance and complexity on three open software systems. Combinatorial techniques are limited in solving the Refactoring Detection Problem due to the relevance of developers' criteria (human factor) when designing reconstructions. Without performance convergence and time complexity analysis, a software empirical analysis that uses search techniques is incomplete.",
-
notes = "HaEa p1610 'Commons Codec v.1.10 with 123 number of
classes (CCODEC), Acra v.4.6.0 with 59 classes (ACRA)
and JFreeChart v.1.0.9. with 558
classes.'
http://www.cs.stir.ac.uk/events/gecco-gi-2018/cfp.html",
