论文信息 - Detection of Anti-patterns in Mobile Applications

Detection of Anti-patterns in Mobile Applications

HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignement et de recherche français ou étrangers, des laboratoires publics ou privés. Detection of Anti-patterns in Mobile Applications Geoffrey Hecht, Laurence Duchien, Naouel Moha, Romain Rouvoy

[1] Yann-Gaël Guéhéneuc,et al. Domain matters: bringing further evidence of the relationships among anti-patterns, application domains, and quality-related metrics in Java mobile apps , 2014, ICPC 2014.

[2] Michele Lanza,et al. Software Analytics for Mobile Applications--Insights & Lessons Learned , 2013, 2013 17th European Conference on Software Maintenance and Reengineering.

[3] Jacques Klein,et al. Dexpler: converting Android Dalvik bytecode to Jimple for static analysis with Soot , 2012, SOAP '12.

[4] Yuval Elovici,et al. Automated Static Code Analysis for Classifying Android Applications Using Machine Learning , 2010, 2010 International Conference on Computational Intelligence and Security.