Optimized design refactoring (ODR): a generic framework for automated search-based refactoring to optimize object-oriented software architectures

Software design optimization (SDO) demands advanced abstract reasoning to define optimal design components’ structure and interactions. Modeling tools such as UML and MERISE, and to a degree, programming languages, are chiefly developed for lucid human–machine design dialogue. For effective automati...

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Vydáno v:	Automated software engineering Ročník 31; číslo 2; s. 48
Hlavní autoři:	Houichime, Tarik, El Amrani, Younes
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York Springer US 01.11.2024 Springer Nature B.V
Témata:	Artificial Intelligence Automation Computer Science Design optimization Object oriented programming Object-oriented languages Product design Programming languages Representations Software Engineering/Programming and Operating Systems Object oriented design Complex numbers Hilbert curve Object oriented metrics Search-based refactoring Particle swarm optimization Simulated annealing process Genetic algorithms
ISSN:	0928-8910, 1573-7535
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Abstract	Software design optimization (SDO) demands advanced abstract reasoning to define optimal design components’ structure and interactions. Modeling tools such as UML and MERISE, and to a degree, programming languages, are chiefly developed for lucid human–machine design dialogue. For effective automation of SDO, an abstract layer attuned to the machine’s computational prowess is crucial, allowing it to harness its swift calculation and inference in determining the best design. This paper contributes an innovative and universal framework for search-based software design refactoring with an emphasis on optimization. The framework accommodates 44% of Fowler’s cataloged refactorings. Owing to its adaptable and succinct structure, it integrates effortlessly with diverse optimization heuristics, eliminating the requirement for further adaptation. Distinctively, our framework offers an artifact representation that obviates the necessity for a separate solution representation, this unified dual-purpose representation not only streamlines the optimization process but also facilitates the computation of essential object-oriented metrics. This ensures a robust assessment of the optimized model through the construction of pertinent fitness functions. Moreover, the artifact representation supports parallel optimization processes and demonstrates commendable scalability with design expansion.
AbstractList	Software design optimization (SDO) demands advanced abstract reasoning to define optimal design components’ structure and interactions. Modeling tools such as UML and MERISE, and to a degree, programming languages, are chiefly developed for lucid human–machine design dialogue. For effective automation of SDO, an abstract layer attuned to the machine’s computational prowess is crucial, allowing it to harness its swift calculation and inference in determining the best design. This paper contributes an innovative and universal framework for search-based software design refactoring with an emphasis on optimization. The framework accommodates 44% of Fowler’s cataloged refactorings. Owing to its adaptable and succinct structure, it integrates effortlessly with diverse optimization heuristics, eliminating the requirement for further adaptation. Distinctively, our framework offers an artifact representation that obviates the necessity for a separate solution representation, this unified dual-purpose representation not only streamlines the optimization process but also facilitates the computation of essential object-oriented metrics. This ensures a robust assessment of the optimized model through the construction of pertinent fitness functions. Moreover, the artifact representation supports parallel optimization processes and demonstrates commendable scalability with design expansion.
ArticleNumber	48
Author	Houichime, Tarik El Amrani, Younes
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Cites_doi	10.1016/j.jss.2004.03.033 10.1049/ic:20040214 10.1145/1984732.1984742 10.1080/13506285.2012.735719 10.13140/2.1.1894.8485 10.1177/155005940803900209 10.1016/j.jss.2015.06.067 10.1145/1985793.1985795 10.1145/2070821.2070826 10.1016/j.infsof.2017.03.009 10.1109/ICCES45898.2019.9002372 10.1109/SSBSE.2009.27 10.1145/2976767.2976782 10.1016/j.infsof.2016.11.009 10.5277/e-Inf150103 10.1109/ICEIEC.2013.6835477 10.1109/TSE.2010.70 10.1145/2872334.2872346 10.1109/Confluence52989.2022.9734141 10.1109/101.17235 10.1145/1276958.1277177 10.1007/978-3-319-09940-8_3 10.3745/JIPS.04.0184 10.4236/jsea.2010.34043 10.1109/TVCG.2020.3030473 10.1016/j.infsof.2022.106893 10.17706/jsw.12.1.19-34 10.14279/tuj.eceasst.38.577 10.1093/bioinformatics/btp152 10.1002/smr.1644 10.1016/j.cie.2013.01.004 10.1109/IISEC54230.2021.9672419 10.1016/j.scico.2018.02.004 10.48550/arXiv.2107.01721. 10.5120/9403-3486 10.1145/957289.957308 10.1016/j.cor.2018.11.011 10.1007/978-3-642-28872-2_31 10.1109/ASE51524.2021.9678519 10.1109/ICSTW.2011.23 10.1109/32.295895 10.14778/3551793.3551855 10.48550/arXiv.2301.07500. 10.1007/s11042-020-10139-6 10.1049/iet-sen:20070033 10.1016/j.cor.2017.03.002 10.1007/s11831-021-09694-4 10.1109/CSMR.2006.49 10.1145/3239372.3239406 10.1109/CSMR.2013.31 10.1007/978-3-642-39742-4_9 10.1016/j.proeng.2013.02.063 10.32323/ujma.587816 10.1016/j.jss.2014.02.053 10.1007/978-3-319-09970-5_33 10.1007/978-3-642-33119-0_10 10.1109/CSMR.2012.15 10.1109/ESEM.2019.8870191
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References	SchotterERGeretyCRaynerKHeuristics and criterion setting during selective encoding in visual decision-making: evidence from eye movementsVisual Cogn.20122091110112910.1080/13506285.2012.735719 Ayyıldız, T., Haner Kırğıl, E.: Analysis of lack of cohesion in methods (LCOM): a case study. In: 2021 2nd International Informatics and Software Engineering Conference (IISEC). (2021), https://doi.org/10.1109/IISEC54230.2021.9672419 Hemati Moghadam, I., Ó Cinnéide, M.: Automated refactoring using design differencing. In: Proceedings of the Euromicro Conference on Software Maintenance and Reengineering, CSMR. p. 52. (2012) https://doi.org/10.1109/CSMR.2012.15 GhannemAEl BoussaidiGKessentiniMModel refactoring using examples: a search-based approachJ. Softw. Evol. Process.201426769271310.1002/smr.1644 Hemati Moghadam, I., Ó Cinnéide, M.: Code-Imp: A tool for automated search-based refactoring. In: Proceedings - International Conference on Software Engineering. (2011) https://doi.org/10.1145/1984732.1984742 O’Keeffe, M., Ó Cinnéide, M.: Towards automated design improvement through combinatorial optimisation. In: International Conference on Software Engineering. (2004) O’Keeffe, M., Ó Cinnéide, M.: A Stochastic approach to automated design improvement. In: Conference: Proceedings of the 2nd International Symposium on Principles and Practice of Programming in Java, PPPJ 2003, Kilkenny City, Ireland. (2003); p. 62. https://doi.org/10.1145/957289.957308 Amal, B., Kessentini, M., Bechikh, S., Dea, J., Said, LB.: On the use of machine learning and search-based software engineering for ill-defined fitness function: a case study on software refactoring. In: Le Goues C., Yoo S., (Eds.) Search-Based Software Engineering. Lecture Notes in Computer Science. Cham: Springer International Publishing. pp. 31–45. (2014) Mokaddem, C.E., Sahraoui, H., Syriani, E.: Recommending model refactoring rules from refactoring examples. In: The 21th ACM/IEEE International Conference. (2018); p. 266. https://doi.org/10.1145/3239372.3239406 GungorMDe-Moivre and Euler formulae for dual-complex numbersUniv. J. Mathe. Appl.2019212612910.32323/ujma.587816 Counsell, S., Arzoky, M., Destefanis, G., Taibi, D.: On the relationship between coupling and refactoring: an empirical viewpoint. In: 2019 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM). Porto de Galinhas, Recife, Brazil: IEEE. pp. 1–6. (2019) Xenos, M., Stavrinoudis, D., Zikouli, K.: Object-oriented metrics a survey. In: Proceedings of the FESMA 2000, Federation of European Software Measurement Associations. (2000) AhmadiHAshtianiMAzgomiMASaheb-NassaghRA DQN-based agent for automatic software refactoringInf. Softw. Technol.202214710689310.1016/j.infsof.2022.106893 MasoudHJaliliSA clustering-based model for class responsibility assignment problem in object-oriented analysisJ. Syst. Softw.20149311013110.1016/j.jss.2014.02.053 LiuHLiGMaZYShaoWZConflict-aware schedule of software refactoringsIET Softw.20082544646010.1049/iet-sen:20070033 Agnihotri, M., Chug, A.: Understanding refactoring tactics and their effect on software quality. In: 2022 12th International Conference on Cloud Computing, Data Science & Engineering (Confluence); pp. 41–46. (2022) GhaithSÓ CinnéideMImproving software security using search-based refactoringInt. Symp. Search Based Softw. Eng.2012751513510.1007/978-3-642-33119-0_10 TemperoERalphPA framework for defining coupling metricsSci. Comput. Program.201816621423010.1016/j.scico.2018.02.004 CheikhiLAl-QutaishRIdriASellamiAChidamber and Kemerer object-oriented measures: analysis of their design from the metrology perspectiveInt. J. Softw. Eng. Appl.20148359374 CromwellHCMearsRPWanLBoutrosNNSensory gating: a translational effort from basic to clinical scienceClinical EEG Neurosci.2008392697210.1177/155005940803900209 Di PentaMNetelerMAntoniolGMerloEA language-independent software renovation frameworkJ. Syst. Softw.200577322524010.1016/j.jss.2004.03.033 Qayum, F., Heckel, R.: Local search-based refactoring as graph transformation. In: 2009 1st International Symposium on Search Based Software Engineering. pp. 43–46. (2009) Abid, C., Ivers, J., Ferreira, T.D.N., Kessentini, M., Kahla, F.E., Ozkaya, I.: Intelligent change operators for multi-objective refactoring. In: 2021 36th IEEE/ACM International Conference on Automated Software Engineering (ASE); (2021). pp. 768–780 GuliaPChillarRNew proposed inheritance metrics to measure the software complexityInt. J. Comput. Appl.201210.5120/9403-3486 Sun, W., Fang, C., Miao, Y., You, Y., Yuan, M., Chen, Y., et al.: Abstract Syntax Tree for Programming Language Understanding and Representation: How Far Are We? ACM Transactions on Software Engineering and Methodology. (2023); arxiv:2312.00413. [cs] Mkaouer, M.W., Kessentini, M., Ó Cinnéide, M., Deb, K.: Software refactoring under uncertainty: a robust multi-objective approach. In: Conference: Symposium on Search-Based Software Engineering. (2014) https://doi.org/10.13140/2.1.1894.8485 Ó Cinnéide, M., Boyle, D., Hemati Moghadam, I.: Automated refactoring for testability. In: Proceedings - 4th IEEE International Conference on Software Testing, Verification, and Validation Workshops, ICSTW 2011. (2011) https://doi.org/10.1109/ICSTW.2011.23 Mahouachi, R., Kessentini, M., Ghedira, K.: A new design defects classification: marrying detection and correction. Fund. Approaches Softw. Eng. (2012) p. 455 Sandhu, P., Singh, H.: A Critical Suggestive evaluation of CK metric. In: 9th Pacific Asia Conference on Information Systems: IT and Value Creation, PACIS 2005. (2005) Ghannem, A., El Boussaidi, G., Kessentini, M.: Model refactoring using interactive genetic algorithm. In: Ruhe G., Zhang Y., (Eds.). Search Based Software Engineering. Lecture Notes in Computer Science. Berlin, Heidelberg: Springer. pp. 96–110. (2013) RutenbarRASimulated annealing algorithms: an overviewIEEE Circuits Dev. Mag.198951192610.1109/101.17235 Ouni, A., Kessentini, M., Sahraoui, H.: Search-based refactoring using recorded code changes. In: 2013 17th European Conference on Software Maintenance and Reengineering. pp. 221–230. (2013) AgnihotriMChugAA systematic literature survey of software metrics, code smells and refactoring techniquesJ. Inf. Process. Syst.202016491593410.3745/JIPS.04.0184 ChidamberSRKemererCFA metrics suite for object oriented designIEEE Trans. Software Eng.199420647649310.1109/32.295895 FowlerMRefactoring: Improving the Design of Existing Code1999USAAddison-Wesley Longman Publishing Co., Inc. SantosDResendeAde Castro LimaEFreireASoftware instability analysis based on afferent and efferent coupling measuresJ. Softw.201712193410.17706/jsw.12.1.19-34 Di Pompeo, D., Tucci, M.: Multi-objective software architecture refactoring driven by quality attributes. arXivorg. (2023), https://doi.org/10.48550/arXiv.2301.07500.arxiv:2301.07500. [cs] AndersSVisualization of genomic data with the Hilbert curveBioinformatics200925101231123510.1093/bioinformatics/btp152 ChahalKSinghHExploring design level class cohesion metricsJSEA.2010338439010.4236/jsea.2010.34043 ImranMHashimRKhalidNEAAn overview of particle swarm optimization variantsProc. Eng.20135349149610.1016/j.proeng.2013.02.063 O’KeeffeMÓ CinnéideMSearch-based software maintenanceJ. Syst. Softw.20068126010.1109/CSMR.2006.49 OkikeEA pedagogical evaluation and discussion about the lack of cohesion in method (LCOM) metric using field experimentIJCSI Int. J. Comp. Sci.2010723 Bringmann K., Cassis A., Fischer N., Künnemann M. Fine-grained completeness for optimization. In: P. International Workshop and International Workshop on Approximation, Randomization, and Combinatorial Optimization Algorithms and Techniques. (2021 Jul), https://doi.org/10.48550/arXiv.2107.01721.arxiv:2107.01721. [cs] DouglasRHGödelEBach an Eternal Golden Braid by Douglas R. Hofstadter1999BostonAddison-Wesley Professional Griffith, I., Wahl, S., Izurieta, C.: Evolution of legacy system comprehensibility through automated refactoring. In: Proceedings of the International Workshop on Machine Learning Technologies in Software Engineering. (2011) Nguyen G., Franco, P.: Mapping high dimensional features onto hilbert curve: applying to fast image retrieval. In: 21st International Conference on Pattern Recognition (ICPR 2012). (2012) Hemati MoghadamIÓ CinnéideMResolving conflict and dependency in refactoring to a desired designe-Inform. Softw. Eng. J.20159375610.5277/e-Inf150103 Immanuel, S.D., Chakraborty, U.K.: Genetic algorithm: an approach on optimization. In: 2019 International Conference on Communication and Electronics Systems (ICCES). pp. 701–708. (2019) BowmanMBriandLCLabicheYSolving the class responsibility assignment problem in object-oriented analysis with multi-objective genetic algorithmsIEEE Trans. Software Eng.201036681783710.1109/TSE.2010.70 Herold, S., Mair, M.: Recommending refactorings to re-establish architectural consistency. In: Avgeriou P., Zdun U., (Eds.). Software Architecture. Lecture Notes in Computer Science. Cham: Springer International Publishing; (2014). pp. 390–397 LeymanPVan DriesscheNVanhouckeMDe CausmaeckerPThe impact of solution representations on heuristic net present value optimization in discrete time/cost trade-off project scheduling with multiple cash flow and payment modelsComp. Oper. Res.2019103184197388065810.1016/j.cor.2018.11.011 LiZKucukkocINilakantanJMComprehensive review and evaluation of heuristics and meta-heuristics for two-sided assembly line balancing problemComp. Oper. Res.201784146161363801310.1016/j.cor.2017.03.002 Alkhazi, B., Ruas, T., Kessentini, M., Wimmer, M., Grosky, W.: Automated refactoring of ATL model transformations: a search-based approach. In: The ACM/IEEE 19th International Conference. (2016); p. 304. https://doi.org/10.1145/2976767.2976782 GadAGParticle swarm optimization algorithm and its applications: a systematic reviewArchiv. Comput. Methods Eng.202229525312561445318710.1007/s11831-021-09694-4 KatochSChauhanSSKumarVA review on genetic algorithm: past, present M Imran (446_CR35) 2013; 53 E Okike (446_CR53) 2010; 7 K Chahal (446_CR12) 2010; 3 A Costa (446_CR15) 2013; 64 446_CR9 446_CR8 SR Chidamber (446_CR14) 1994; 20 S Katoch (446_CR36) 2021; 80 F Qayum (446_CR56) 2011 446_CR41 446_CR42 446_CR45 P Leyman (446_CR38) 2019; 103 446_CR47 446_CR46 446_CR49 446_CR48 L Zhou (446_CR68) 2021; 27 A Ghannem (446_CR26) 2014; 26 S Ghaith (446_CR24) 2012; 7515 M Di Penta (446_CR18) 2005; 77 H Liu (446_CR40) 2008; 2 446_CR50 446_CR51 446_CR54 446_CR5 M Fowler (446_CR21) 1999 446_CR11 AG Gad (446_CR23) 2022; 29 446_CR55 446_CR6 446_CR1 446_CR16 446_CR59 446_CR2 446_CR19 P Gulia (446_CR28) 2012 Z Li (446_CR39) 2017; 84 M O’Keeffe (446_CR52) 2006; 81 S Kebir (446_CR37) 2017; 88 W Rapaport (446_CR57) 2023 H Ahmadi (446_CR4) 2022; 147 L Cheikhi (446_CR13) 2014; 8 M Gungor (446_CR29) 2019; 2 446_CR62 446_CR65 S Anders (446_CR7) 2009; 25 ER Schotter (446_CR61) 2012; 20 446_CR67 446_CR22 446_CR66 446_CR25 T Mariani (446_CR43) 2017; 83 446_CR27 H Masoud (446_CR44) 2014; 93 M Bowman (446_CR10) 2010; 36 M Agnihotri (446_CR3) 2020; 16 V Tawosi (446_CR63) 2015; 109 D Santos (446_CR60) 2017; 12 HC Cromwell (446_CR17) 2008; 39 E Tempero (446_CR64) 2018; 166 I Hemati Moghadam (446_CR32) 2015; 9 446_CR30 RA Rutenbar (446_CR58) 1989; 5 446_CR31 446_CR34 446_CR33 RH Douglas (446_CR20) 1999
References_xml	– reference: DouglasRHGödelEBach an Eternal Golden Braid by Douglas R. Hofstadter1999BostonAddison-Wesley Professional – reference: Sandhu, P., Singh, H.: A Critical Suggestive evaluation of CK metric. In: 9th Pacific Asia Conference on Information Systems: IT and Value Creation, PACIS 2005. (2005) – reference: SchotterERGeretyCRaynerKHeuristics and criterion setting during selective encoding in visual decision-making: evidence from eye movementsVisual Cogn.20122091110112910.1080/13506285.2012.735719 – reference: Qayum, F., Heckel, R.: Local search-based refactoring as graph transformation. In: 2009 1st International Symposium on Search Based Software Engineering. pp. 43–46. (2009) – reference: KatochSChauhanSSKumarVA review on genetic algorithm: past, present, and futureMultimed. Tools Appl.20218058091812610.1007/s11042-020-10139-6 – reference: Nguyen G., Franco, P.: Mapping high dimensional features onto hilbert curve: applying to fast image retrieval. In: 21st International Conference on Pattern Recognition (ICPR 2012). (2012) – reference: LiuHLiGMaZYShaoWZConflict-aware schedule of software refactoringsIET Softw.20082544646010.1049/iet-sen:20070033 – reference: Sun, W., Fang, C., Miao, Y., You, Y., Yuan, M., Chen, Y., et al.: Abstract Syntax Tree for Programming Language Understanding and Representation: How Far Are We? ACM Transactions on Software Engineering and Methodology. (2023); arxiv:2312.00413. [cs] – reference: ZhouLJohnsonCRWeiskopfDData-driven space-filling curvesIEEE Trans. Visual Comput. Graph.20212721591160010.1109/TVCG.2020.3030473 – reference: Abid, C., Ivers, J., Ferreira, T.D.N., Kessentini, M., Kahla, F.E., Ozkaya, I.: Intelligent change operators for multi-objective refactoring. In: 2021 36th IEEE/ACM International Conference on Automated Software Engineering (ASE); (2021). pp. 768–780 – reference: ChahalKSinghHExploring design level class cohesion metricsJSEA.2010338439010.4236/jsea.2010.34043 – reference: GadAGParticle swarm optimization algorithm and its applications: a systematic reviewArchiv. Comput. Methods Eng.202229525312561445318710.1007/s11831-021-09694-4 – reference: Hemati MoghadamIÓ CinnéideMResolving conflict and dependency in refactoring to a desired designe-Inform. Softw. Eng. J.20159375610.5277/e-Inf150103 – reference: AndersSVisualization of genomic data with the Hilbert curveBioinformatics200925101231123510.1093/bioinformatics/btp152 – reference: Wongpiang, R., Muenchaisri, P.: Selecting sequence of refactoring techniques usage for code changing using greedy algorithm. In: 2013 IEEE 4th International Conference on Electronics Information and Emergency Communication. pp. 160–164. (2013) – reference: RutenbarRASimulated annealing algorithms: an overviewIEEE Circuits Dev. Mag.198951192610.1109/101.17235 – reference: ChidamberSRKemererCFA metrics suite for object oriented designIEEE Trans. Software Eng.199420647649310.1109/32.295895 – reference: MasoudHJaliliSA clustering-based model for class responsibility assignment problem in object-oriented analysisJ. Syst. Softw.20149311013110.1016/j.jss.2014.02.053 – reference: Immanuel, S.D., Chakraborty, U.K.: Genetic algorithm: an approach on optimization. In: 2019 International Conference on Communication and Electronics Systems (ICCES). pp. 701–708. (2019) – reference: Ó Cinnéide, M., Boyle, D., Hemati Moghadam, I.: Automated refactoring for testability. In: Proceedings - 4th IEEE International Conference on Software Testing, Verification, and Validation Workshops, ICSTW 2011. (2011) https://doi.org/10.1109/ICSTW.2011.23 – reference: MarianiTVergilioSRA Systematic Review on Search-Based RefactoringInf. Softw. Technol.201783143410.1016/j.infsof.2016.11.009 – reference: Counsell, S., Arzoky, M., Destefanis, G., Taibi, D.: On the relationship between coupling and refactoring: an empirical viewpoint. In: 2019 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM). Porto de Galinhas, Recife, Brazil: IEEE. pp. 1–6. (2019) – reference: RapaportWPhilosophy of Computer Science - Wiley-Blackwell2023New JerseyWiley-Blackwell – reference: OkikeEA pedagogical evaluation and discussion about the lack of cohesion in method (LCOM) metric using field experimentIJCSI Int. J. Comp. Sci.2010723 – reference: CromwellHCMearsRPWanLBoutrosNNSensory gating: a translational effort from basic to clinical scienceClinical EEG Neurosci.2008392697210.1177/155005940803900209 – reference: GhaithSÓ CinnéideMImproving software security using search-based refactoringInt. Symp. Search Based Softw. Eng.2012751513510.1007/978-3-642-33119-0_10 – reference: GungorMDe-Moivre and Euler formulae for dual-complex numbersUniv. J. Mathe. Appl.2019212612910.32323/ujma.587816 – reference: AgnihotriMChugAA systematic literature survey of software metrics, code smells and refactoring techniquesJ. Inf. Process. Syst.202016491593410.3745/JIPS.04.0184 – reference: AhmadiHAshtianiMAzgomiMASaheb-NassaghRA DQN-based agent for automatic software refactoringInf. Softw. Technol.202214710689310.1016/j.infsof.2022.106893 – reference: Alkhazi, B., Ruas, T., Kessentini, M., Wimmer, M., Grosky, W.: Automated refactoring of ATL model transformations: a search-based approach. In: The ACM/IEEE 19th International Conference. (2016); p. 304. https://doi.org/10.1145/2976767.2976782 – reference: Di Pompeo, D., Tucci, M.: Multi-objective software architecture refactoring driven by quality attributes. arXivorg. (2023), https://doi.org/10.48550/arXiv.2301.07500.arxiv:2301.07500. [cs] – reference: KebirSBorneIMeslatiDA genetic algorithm-based approach for automated refactoring of component-based softwareInf. Softw. Technol.201788173610.1016/j.infsof.2017.03.009 – reference: François-Michel, D.R.: Evolutionary computation framework for rapid prototyping and testing of ideas. github. (2023) – reference: Bringmann K., Cassis A., Fischer N., Künnemann M. Fine-grained completeness for optimization. In: P. International Workshop and International Workshop on Approximation, Randomization, and Combinatorial Optimization Algorithms and Techniques. (2021 Jul), https://doi.org/10.48550/arXiv.2107.01721.arxiv:2107.01721. [cs] – reference: GuliaPChillarRNew proposed inheritance metrics to measure the software complexityInt. J. Comput. Appl.201210.5120/9403-3486 – reference: Arcuri, A., Briand, L.: A practical guide for using statistical tests to assess randomized algorithms in software engineering. In: Proceedings of the 33rd International Conference on Software Engineering. ICSE ’11. New York, NY, USA: Association for Computing Machinery; (2011). pp. 1–10 – reference: Agnihotri, M., Chug, A.: Understanding refactoring tactics and their effect on software quality. In: 2022 12th International Conference on Cloud Computing, Data Science & Engineering (Confluence); pp. 41–46. (2022) – reference: CheikhiLAl-QutaishRIdriASellamiAChidamber and Kemerer object-oriented measures: analysis of their design from the metrology perspectiveInt. J. Softw. Eng. Appl.20148359374 – reference: Mkaouer, M.W., Kessentini, M., Ó Cinnéide, M., Deb, K.: Software refactoring under uncertainty: a robust multi-objective approach. In: Conference: Symposium on Search-Based Software Engineering. (2014) https://doi.org/10.13140/2.1.1894.8485 – reference: ImranMHashimRKhalidNEAAn overview of particle swarm optimization variantsProc. Eng.20135349149610.1016/j.proeng.2013.02.063 – reference: Mokaddem, C.E., Sahraoui, H., Syriani, E.: Recommending model refactoring rules from refactoring examples. In: The 21th ACM/IEEE International Conference. (2018); p. 266. https://doi.org/10.1145/3239372.3239406 – reference: Di PentaMNetelerMAntoniolGMerloEA language-independent software renovation frameworkJ. Syst. Softw.200577322524010.1016/j.jss.2004.03.033 – reference: Mahouachi, R., Kessentini, M., Ghedira, K.: A new design defects classification: marrying detection and correction. Fund. Approaches Softw. Eng. (2012) p. 455 – reference: O’KeeffeMÓ CinnéideMSearch-based software maintenanceJ. Syst. Softw.20068126010.1109/CSMR.2006.49 – reference: SantosDResendeAde Castro LimaEFreireASoftware instability analysis based on afferent and efferent coupling measuresJ. Softw.201712193410.17706/jsw.12.1.19-34 – reference: FowlerMRefactoring: Improving the Design of Existing Code1999USAAddison-Wesley Longman Publishing Co., Inc. – reference: Lyu C., Fan Q., Song F., Sinha A., Diao Y., Chen W., et al. Fine-grained modeling and optimization for intelligent resource management in big data processing. Proc. VLDB Endowment. (2022) arXiv:2207.02026 – reference: QayumFHeckelRSearch-based refactoring using unfolding of graph transformation systemsElectron. Commun. EASST.201110.14279/tuj.eceasst.38.577 – reference: LiZKucukkocINilakantanJMComprehensive review and evaluation of heuristics and meta-heuristics for two-sided assembly line balancing problemComp. Oper. Res.201784146161363801310.1016/j.cor.2017.03.002 – reference: CostaACappadonnaFAFicheraSA dual encoding-based meta-heuristic algorithm for solving a constrained hybrid flow shop scheduling problemComp. Ind. Eng.201364493795810.1016/j.cie.2013.01.004 – reference: van Ginneken, L.P.P.P.: The annealing algorithm revisted. In: Proceedings of the 2016 on International Symposium on Physical Design. ISPD ’16. New York, NY, USA: Association for Computing Machinery. pp. 109–111. (2016) – reference: TemperoERalphPA framework for defining coupling metricsSci. Comput. Program.201816621423010.1016/j.scico.2018.02.004 – reference: TawosiVJaliliSHasheminejadSMHAutomated software design using ant colony optimization with semantic network supportJ. Syst. Softw.201510911710.1016/j.jss.2015.06.067 – reference: BowmanMBriandLCLabicheYSolving the class responsibility assignment problem in object-oriented analysis with multi-objective genetic algorithmsIEEE Trans. Software Eng.201036681783710.1109/TSE.2010.70 – reference: LeymanPVan DriesscheNVanhouckeMDe CausmaeckerPThe impact of solution representations on heuristic net present value optimization in discrete time/cost trade-off project scheduling with multiple cash flow and payment modelsComp. Oper. Res.2019103184197388065810.1016/j.cor.2018.11.011 – reference: O’Keeffe, M., Ó Cinnéide, M.: A Stochastic approach to automated design improvement. In: Conference: Proceedings of the 2nd International Symposium on Principles and Practice of Programming in Java, PPPJ 2003, Kilkenny City, Ireland. (2003); p. 62. https://doi.org/10.1145/957289.957308 – reference: Griffith, I., Wahl, S., Izurieta, C.: Evolution of legacy system comprehensibility through automated refactoring. In: Proceedings of the International Workshop on Machine Learning Technologies in Software Engineering. (2011) – reference: Amal, B., Kessentini, M., Bechikh, S., Dea, J., Said, LB.: On the use of machine learning and search-based software engineering for ill-defined fitness function: a case study on software refactoring. In: Le Goues C., Yoo S., (Eds.) Search-Based Software Engineering. Lecture Notes in Computer Science. Cham: Springer International Publishing. pp. 31–45. (2014) – reference: Ghannem, A., El Boussaidi, G., Kessentini, M.: Model refactoring using interactive genetic algorithm. In: Ruhe G., Zhang Y., (Eds.). Search Based Software Engineering. Lecture Notes in Computer Science. Berlin, Heidelberg: Springer. pp. 96–110. (2013) – reference: Ouni, A., Kessentini, M., Sahraoui, H.: Search-based refactoring using recorded code changes. In: 2013 17th European Conference on Software Maintenance and Reengineering. pp. 221–230. (2013) – reference: Xenos, M., Stavrinoudis, D., Zikouli, K.: Object-oriented metrics a survey. In: Proceedings of the FESMA 2000, Federation of European Software Measurement Associations. (2000) – reference: Hemati Moghadam, I., Ó Cinnéide, M.: Code-Imp: A tool for automated search-based refactoring. In: Proceedings - International Conference on Software Engineering. (2011) https://doi.org/10.1145/1984732.1984742 – reference: Herold, S., Mair, M.: Recommending refactorings to re-establish architectural consistency. In: Avgeriou P., Zdun U., (Eds.). Software Architecture. Lecture Notes in Computer Science. Cham: Springer International Publishing; (2014). pp. 390–397 – reference: GhannemAEl BoussaidiGKessentiniMModel refactoring using examples: a search-based approachJ. Softw. Evol. Process.201426769271310.1002/smr.1644 – reference: O’Keeffe, M., Ó Cinnéide, M.: Getting the most from search-based refactoring. In: GECCO ’07: Proceedings of the 9th Annual Conference on Genetic and Evolutionary Computation. p. 1120. (2007) https://doi.org/10.1145/1276958.1277177 – reference: O’Keeffe, M., Ó Cinnéide, M.: Towards automated design improvement through combinatorial optimisation. In: International Conference on Software Engineering. (2004) – reference: Ayyıldız, T., Haner Kırğıl, E.: Analysis of lack of cohesion in methods (LCOM): a case study. In: 2021 2nd International Informatics and Software Engineering Conference (IISEC). (2021), https://doi.org/10.1109/IISEC54230.2021.9672419 – reference: Hemati Moghadam, I., Ó Cinnéide, M.: Automated refactoring using design differencing. In: Proceedings of the Euromicro Conference on Software Maintenance and Reengineering, CSMR. p. 52. (2012) https://doi.org/10.1109/CSMR.2012.15 – volume: 77 start-page: 225 issue: 3 year: 2005 ident: 446_CR18 publication-title: J. Syst. Softw. doi: 10.1016/j.jss.2004.03.033 – ident: 446_CR51 doi: 10.1049/ic:20040214 – ident: 446_CR31 doi: 10.1145/1984732.1984742 – volume: 20 start-page: 1110 issue: 9 year: 2012 ident: 446_CR61 publication-title: Visual Cogn. doi: 10.1080/13506285.2012.735719 – ident: 446_CR45 doi: 10.13140/2.1.1894.8485 – volume: 39 start-page: 69 issue: 2 year: 2008 ident: 446_CR17 publication-title: Clinical EEG Neurosci. doi: 10.1177/155005940803900209 – volume: 109 start-page: 1 year: 2015 ident: 446_CR63 publication-title: J. Syst. Softw. doi: 10.1016/j.jss.2015.06.067 – ident: 446_CR8 doi: 10.1145/1985793.1985795 – ident: 446_CR27 doi: 10.1145/2070821.2070826 – volume: 88 start-page: 17 year: 2017 ident: 446_CR37 publication-title: Inf. Softw. Technol. doi: 10.1016/j.infsof.2017.03.009 – ident: 446_CR34 doi: 10.1109/ICCES45898.2019.9002372 – ident: 446_CR55 doi: 10.1109/SSBSE.2009.27 – ident: 446_CR5 doi: 10.1145/2976767.2976782 – volume: 83 start-page: 14 year: 2017 ident: 446_CR43 publication-title: Inf. Softw. Technol. doi: 10.1016/j.infsof.2016.11.009 – volume: 9 start-page: 37 year: 2015 ident: 446_CR32 publication-title: e-Inform. Softw. Eng. J. doi: 10.5277/e-Inf150103 – ident: 446_CR66 doi: 10.1109/ICEIEC.2013.6835477 – volume: 36 start-page: 817 issue: 6 year: 2010 ident: 446_CR10 publication-title: IEEE Trans. Software Eng. doi: 10.1109/TSE.2010.70 – ident: 446_CR65 doi: 10.1145/2872334.2872346 – ident: 446_CR2 doi: 10.1109/Confluence52989.2022.9734141 – volume: 7 start-page: 3 issue: 2 year: 2010 ident: 446_CR53 publication-title: IJCSI Int. J. Comp. Sci. – volume: 5 start-page: 19 issue: 1 year: 1989 ident: 446_CR58 publication-title: IEEE Circuits Dev. Mag. doi: 10.1109/101.17235 – ident: 446_CR50 doi: 10.1145/1276958.1277177 – ident: 446_CR6 doi: 10.1007/978-3-319-09940-8_3 – volume: 16 start-page: 915 issue: 4 year: 2020 ident: 446_CR3 publication-title: J. Inf. Process. Syst. doi: 10.3745/JIPS.04.0184 – volume: 3 start-page: 384 year: 2010 ident: 446_CR12 publication-title: JSEA. doi: 10.4236/jsea.2010.34043 – volume: 27 start-page: 1591 issue: 2 year: 2021 ident: 446_CR68 publication-title: IEEE Trans. Visual Comput. Graph. doi: 10.1109/TVCG.2020.3030473 – volume: 147 start-page: 106893 year: 2022 ident: 446_CR4 publication-title: Inf. Softw. Technol. doi: 10.1016/j.infsof.2022.106893 – volume: 12 start-page: 19 year: 2017 ident: 446_CR60 publication-title: J. Softw. doi: 10.17706/jsw.12.1.19-34 – ident: 446_CR59 – year: 2011 ident: 446_CR56 publication-title: Electron. Commun. EASST. doi: 10.14279/tuj.eceasst.38.577 – volume: 25 start-page: 1231 issue: 10 year: 2009 ident: 446_CR7 publication-title: Bioinformatics doi: 10.1093/bioinformatics/btp152 – volume: 26 start-page: 692 issue: 7 year: 2014 ident: 446_CR26 publication-title: J. Softw. Evol. Process. doi: 10.1002/smr.1644 – volume: 64 start-page: 937 issue: 4 year: 2013 ident: 446_CR15 publication-title: Comp. Ind. Eng. doi: 10.1016/j.cie.2013.01.004 – ident: 446_CR9 doi: 10.1109/IISEC54230.2021.9672419 – volume: 166 start-page: 214 year: 2018 ident: 446_CR64 publication-title: Sci. Comput. Program. doi: 10.1016/j.scico.2018.02.004 – ident: 446_CR62 – volume-title: Philosophy of Computer Science - Wiley-Blackwell year: 2023 ident: 446_CR57 – volume-title: Bach an Eternal Golden Braid by Douglas R. Hofstadter year: 1999 ident: 446_CR20 – ident: 446_CR11 doi: 10.48550/arXiv.2107.01721. – year: 2012 ident: 446_CR28 publication-title: Int. J. Comput. Appl. doi: 10.5120/9403-3486 – ident: 446_CR49 doi: 10.1145/957289.957308 – volume: 103 start-page: 184 year: 2019 ident: 446_CR38 publication-title: Comp. Oper. Res. doi: 10.1016/j.cor.2018.11.011 – ident: 446_CR42 doi: 10.1007/978-3-642-28872-2_31 – ident: 446_CR1 doi: 10.1109/ASE51524.2021.9678519 – ident: 446_CR48 doi: 10.1109/ICSTW.2011.23 – volume: 20 start-page: 476 issue: 6 year: 1994 ident: 446_CR14 publication-title: IEEE Trans. Software Eng. doi: 10.1109/32.295895 – ident: 446_CR41 doi: 10.14778/3551793.3551855 – ident: 446_CR19 doi: 10.48550/arXiv.2301.07500. – volume: 8 start-page: 359 year: 2014 ident: 446_CR13 publication-title: Int. J. Softw. Eng. Appl. – volume: 80 start-page: 8091 issue: 5 year: 2021 ident: 446_CR36 publication-title: Multimed. Tools Appl. doi: 10.1007/s11042-020-10139-6 – volume: 2 start-page: 446 issue: 5 year: 2008 ident: 446_CR40 publication-title: IET Softw. doi: 10.1049/iet-sen:20070033 – volume: 84 start-page: 146 year: 2017 ident: 446_CR39 publication-title: Comp. Oper. Res. doi: 10.1016/j.cor.2017.03.002 – ident: 446_CR67 – volume: 29 start-page: 2531 issue: 5 year: 2022 ident: 446_CR23 publication-title: Archiv. Comput. Methods Eng. doi: 10.1007/s11831-021-09694-4 – volume: 81 start-page: 260 year: 2006 ident: 446_CR52 publication-title: J. Syst. Softw. doi: 10.1109/CSMR.2006.49 – ident: 446_CR46 doi: 10.1145/3239372.3239406 – ident: 446_CR54 doi: 10.1109/CSMR.2013.31 – ident: 446_CR25 doi: 10.1007/978-3-642-39742-4_9 – volume: 53 start-page: 491 year: 2013 ident: 446_CR35 publication-title: Proc. Eng. doi: 10.1016/j.proeng.2013.02.063 – volume: 2 start-page: 126 year: 2019 ident: 446_CR29 publication-title: Univ. J. Mathe. Appl. doi: 10.32323/ujma.587816 – ident: 446_CR22 – volume: 93 start-page: 110 year: 2014 ident: 446_CR44 publication-title: J. Syst. Softw. doi: 10.1016/j.jss.2014.02.053 – volume-title: Refactoring: Improving the Design of Existing Code year: 1999 ident: 446_CR21 – ident: 446_CR47 – ident: 446_CR33 doi: 10.1007/978-3-319-09970-5_33 – volume: 7515 start-page: 135 year: 2012 ident: 446_CR24 publication-title: Int. Symp. Search Based Softw. Eng. doi: 10.1007/978-3-642-33119-0_10 – ident: 446_CR30 doi: 10.1109/CSMR.2012.15 – ident: 446_CR16 doi: 10.1109/ESEM.2019.8870191
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Snippet	Software design optimization (SDO) demands advanced abstract reasoning to define optimal design components’ structure and interactions. Modeling tools such as...
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SubjectTerms	Artificial Intelligence Automation Computer Science Design optimization Object oriented programming Object-oriented languages Product design Programming languages Representations Software Engineering/Programming and Operating Systems
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Title	Optimized design refactoring (ODR): a generic framework for automated search-based refactoring to optimize object-oriented software architectures
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