On the Survival of Android Code Smells in the Wild
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[1] Romain Rouvoy,et al. On Adopting Linters to Deal with Performance Concerns in Android Apps , 2018, 2018 33rd IEEE/ACM International Conference on Automated Software Engineering (ASE).
[2] Ahmed E. Hassan,et al. Replicating and Re-Evaluating the Theory of Relative Defect-Proneness , 2015, IEEE Transactions on Software Engineering.
[3] Gabriele Bavota,et al. When and Why Your Code Starts to Smell Bad (and Whether the Smells Go Away) , 2015, IEEE Transactions on Software Engineering.
[4] C. Matuchansky,et al. Lifelines , 2016, The Lancet.
[5] O. Aalen. A linear regression model for the analysis of life times. , 1989, Statistics in medicine.
[6] D.,et al. Regression Models and Life-Tables , 2022 .
[7] Romain Rouvoy,et al. Tracking the Software Quality of Android Applications Along Their Evolution (T) , 2015, 2015 30th IEEE/ACM International Conference on Automated Software Engineering (ASE).
[8] Uwe Aßmann,et al. On the reuse and recommendation of model refactoring specifications , 2012, Software & Systems Modeling.
[9] Christian Bird,et al. What developers want and need from program analysis: An empirical study , 2016, 2016 31st IEEE/ACM International Conference on Automated Software Engineering (ASE).
[10] Geoffrey Hecht. Détection et analyse de l'impact des défauts de code dans les applications mobiles. (Detection and analysis of impact of code smells in mobile applications) , 2016 .
[11] Romain Rouvoy,et al. An Empirical Study of the Performance Impacts of Android Code Smells , 2016, 2016 IEEE/ACM International Conference on Mobile Software Engineering and Systems (MOBILESoft).
[12] Romain Rouvoy,et al. Detecting Antipatterns in Android Apps , 2015, 2015 2nd ACM International Conference on Mobile Software Engineering and Systems.
[13] Eduardo Figueiredo,et al. Understanding the longevity of code smells: preliminary results of an explanatory survey , 2011, WRT '11.
[14] Jared Smith,et al. A Dataset of Open-Source Android Applications , 2015, 2015 IEEE/ACM 12th Working Conference on Mining Software Repositories.
[15] Rupert G. Miller,et al. Survival Analysis , 2022, The SAGE Encyclopedia of Research Design.
[16] Andrea De Lucia,et al. On the impact of code smells on the energy consumption of mobile applications , 2019, Inf. Softw. Technol..
[17] D G Altman,et al. Survival probabilities (the Kaplan-Meier method) , 1998, BMJ.
[18] Renaud Pawlak. Spoon: Compile-time Annotation Processing for Middleware , 2006, IEEE Distributed Systems Online.
[19] Yann-Gaël Guéhéneuc,et al. DECOR: A Method for the Specification and Detection of Code and Design Smells , 2010, IEEE Transactions on Software Engineering.
[20] Mauricio A. Saca. Refactoring improving the design of existing code , 2017, 2017 IEEE 37th Central America and Panama Convention (CONCAPAN XXXVII).
[21] Foutse Khomh,et al. EARMO: An Energy-Aware Refactoring Approach for Mobile Apps , 2018, IEEE Transactions on Software Engineering.
[22] Michele Lanza,et al. Software Analytics for Mobile Applications--Insights & Lessons Learned , 2013, 2013 17th European Conference on Software Maintenance and Reengineering.
[23] Robert W. Bowdidge,et al. Why don't software developers use static analysis tools to find bugs? , 2013, 2013 35th International Conference on Software Engineering (ICSE).
[24] Miryung Kim,et al. Program element matching for multi-version program analyses , 2006, MSR '06.
[25] Iftekhar Ahmed,et al. Understanding Code Smells in Android Applications , 2016, 2016 IEEE/ACM International Conference on Mobile Software Engineering and Systems (MOBILESoft).
[26] Andrea De Lucia,et al. Lightweight detection of Android-specific code smells: The aDoctor project , 2017, 2017 IEEE 24th International Conference on Software Analysis, Evolution and Reengineering (SANER).
[27] D. Harrington. A class of rank test procedures for censored survival data , 1982 .
[28] Romain Rouvoy,et al. Investigating the energy impact of Android smells , 2017, 2017 IEEE 24th International Conference on Software Analysis, Evolution and Reengineering (SANER).
[29] Ahmed E. Hassan,et al. Fresh apps: an empirical study of frequently-updated mobile apps in the Google play store , 2015, Empirical Software Engineering.
[30] Ciera Jaspan,et al. Tricorder: Building a Program Analysis Ecosystem , 2015, 2015 IEEE/ACM 37th IEEE International Conference on Software Engineering.
[31] Uwe Aßmann,et al. A Tool-Supported Quality Smell Catalogue For Android Developers , 2014, Softwaretechnik-Trends.
[32] Foutse Khomh,et al. An Exploratory Study of the Impact of Code Smells on Software Change-proneness , 2009, 2009 16th Working Conference on Reverse Engineering.
[33] Miryung Kim,et al. An empirical study of code clone genealogies , 2005, ESEC/FSE-13.
[34] Marouane Kessentini,et al. Detecting Android Smells Using Multi-Objective Genetic Programming , 2017, 2017 IEEE/ACM 4th International Conference on Mobile Software Engineering and Systems (MOBILESoft).
[35] Andy Zaidman,et al. Evaluating the Lifespan of Code Smells using Software Repository Mining , 2012, 2012 16th European Conference on Software Maintenance and Reengineering.
[36] M. Pagano,et al. Survival analysis. , 1996, Nutrition.
[37] Andy Zaidman,et al. Analyzing the State of Static Analysis: A Large-Scale Evaluation in Open Source Software , 2016, 2016 IEEE 23rd International Conference on Software Analysis, Evolution, and Reengineering (SANER).
[38] Katrina D. Maxwell,et al. Applied Statistics for Software Managers , 2002 .
[39] Fabio Palomba,et al. A Graph-Based Dataset of Commit History of Real-World Android apps , 2018, 2018 IEEE/ACM 15th International Conference on Mining Software Repositories (MSR).
[40] Romain Rouvoy,et al. Code Smells in iOS Apps: How Do They Compare to Android? , 2017, 2017 IEEE/ACM 4th International Conference on Mobile Software Engineering and Systems (MOBILESoft).
[41] Yu Lin,et al. Refactorings for Android Asynchronous Programming , 2015, 2015 30th IEEE/ACM International Conference on Automated Software Engineering (ASE).