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%% Place TeX-style references in this file.
@inproceedings{mujahid2017examining,
title={Examining user complaints of wearable apps: a case study on android wear},
author={Mujahid, Suhaib and Sierra, Giancarlo and Abdalkareem, Rabe and Shihab, Emad and Shang, Weiyi},
booktitle={Mobile Software Engineering and Systems (MOBILESoft), 2017 IEEE/ACM 4th International Conference on},
pages={96--99},
year={2017},
organization={IEEE}
}
@article{hassan2018studying,
title={Studying the dialogue between users and developers of free apps in the Google Play Store},
author={Hassan, Safwat and Tantithamthavorn, Chakkrit and Bezemer, Cor-Paul and Hassan, Ahmed E},
journal={Empirical Software Engineering},
volume={23},
number={3},
pages={1275--1312},
year={2018},
publisher={Springer}
}
@article{mcilroy2017worth,
title={Is It Worth Responding to Reviews? Studying the Top Free Apps in Google Play},
author={McIlroy, Stuart and Shang, Weiyi and Ali, Nasir and Hassan, Ahmed E},
journal={IEEE Software},
volume={34},
number={3},
pages={64--71},
year={2017},
publisher={IEEE}
}
@phdthesis{mcilroy2014empirical,
title={Empirical studies of the distribution and feedback mechanisms of mobile app stores},
author={Mcilroy, Stuart},
year={2014}
}
@misc{appNumber,
author = {Statista},
title = {Number of apps available in leading app stores as of 1st quarter 2018},
year = 2018,
howpublished = {\url{https://www.statista.com/statistics/276623/number-of-apps-available-in-leading-app-stores}},
note = {Accessed: 2018-10-10}
}
@misc{appStoreLaunch,
author = {AppleInsider},
title = {Apple's App Store launches with more than 500 apps},
year = 2008,
howpublished = {\url{http://appleinsider.com/articles/08/07/10/apples_app_store_launches_with_more_than_500_apps}},
note = {Accessed: 2018-10-10}
}
@misc{androidMarketLaunch,
author = {Melissa Perenson},
title = {Google Launches Android Market},
year = 2008,
howpublished = {\url{https://www.pcworld.com/article/152613/google_android_ships.html}},
note = {Accessed: 2018-10-10}
}
@article{scoccia2018investigation,
title={An Investigation into Android Run-time Permissions from the End Users’ Perspective},
author={Scoccia, Gian Luca and Ruberto, Stefano and Malavolta, Ivano and Autili, Marco and Inverardi, Paola},
year={2018}
}
@article{palomba2018crowdsourcing,
title={Crowdsourcing user reviews to support the evolution of mobile apps},
author={Palomba, Fabio and Linares-V{\'a}squez, Mario and Bavota, Gabriele and Oliveto, Rocco and Di Penta, Massimiliano and Poshyvanyk, Denys and De Lucia, Andrea},
journal={Journal of Systems and Software},
volume={137},
pages={143--162},
year={2018},
publisher={Elsevier}
}
@inproceedings{wei2017oasis,
title={OASIS: prioritizing static analysis warnings for Android apps based on app user reviews},
author={Wei, Lili and Liu, Yepang and Cheung, Shing-Chi},
booktitle={Proceedings of the 2017 11th Joint Meeting on Foundations of Software Engineering},
pages={672--682},
year={2017},
organization={ACM}
}
@inproceedings{palomba2017recommending,
title={Recommending and localizing change requests for mobile apps based on user reviews},
author={Palomba, Fabio and Salza, Pasquale and Ciurumelea, Adelina and Panichella, Sebastiano and Gall, Harald and Ferrucci, Filomena and De Lucia, Andrea},
booktitle={Proceedings of the 39th international conference on software engineering},
pages={106--117},
year={2017},
organization={IEEE Press}
}
@inproceedings{jha2017mining,
title={Mining user requirements from application store reviews using frame semantics},
author={Jha, Nishant and Mahmoud, Anas},
booktitle={International Working Conference on Requirements Engineering: Foundation for Software Quality},
pages={273--287},
year={2017},
organization={Springer}
}
@inproceedings{li2017crowdsourced,
title={Crowdsourced App Review Manipulation},
author={Li, Shanshan and Caverlee, James and Niu, Wei and Kaghazgaran, Parisa},
booktitle={Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval},
pages={1137--1140},
year={2017},
organization={ACM}
}
@article{hu2018studying,
title={Studying the consistency of star ratings and reviews of popular free hybrid Android and iOS apps},
author={Hu, Hanyang and Wang, Shaowei and Bezemer, Cor-Paul and Hassan, Ahmed E},
journal={Empirical Software Engineering},
pages={1--26},
year={2018},
publisher={Springer}
}
@inproceedings{ali2017same,
title={Same app, different app stores: A comparative study},
author={Ali, Mohamed and Joorabchi, Mona Erfani and Mesbah, Ali},
booktitle={Proceedings of the 4th International Conference on Mobile Software Engineering and Systems},
pages={79--90},
year={2017},
organization={IEEE Press}
}
@article{li2017mining,
title={Mining User Reviews for Mobile App Comparisons},
author={Li, Yuanchun and Jia, Baoxiong and Guo, Yao and Chen, Xiangqun},
journal={Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies},
volume={1},
number={3},
pages={75},
year={2017},
publisher={ACM}
}
@inproceedings{anchieta2017,
title={Exploring Unsupervised Learning Towards Extractive Summarization of User Reviews},
author={Anchi{\^e}ta, Rafael T and Moura, Raimundo S},
booktitle={Proceedings of the 23rd Brazillian Symposium on Multimedia and the Web},
pages={217--220},
year={2017},
organization={ACM}
}
@inproceedings{panichella2016ardoc,
title={Ardoc: App reviews development oriented classifier},
author={Panichella, Sebastiano and Di Sorbo, Andrea and Guzman, Emitza and Visaggio, Corrado A and Canfora, Gerardo and Gall, Harald C},
booktitle={Proceedings of the 2016 24th ACM SIGSOFT International Symposium on Foundations of Software Engineering},
pages={1023--1027},
year={2016},
organization={ACM}
}
@inproceedings{gao2018online,
title={Online app review analysis for identifying emerging issues},
author={Gao, Cuiyun and Zeng, Jichuan and Lyu, Michael R and King, Irwin},
booktitle={2018 IEEE/ACM 40th International Conference on Software Engineering (ICSE)},
pages={48--58},
year={2018},
organization={IEEE}
}
@inproceedings{simmons2016agree,
title={Agree to disagree: on labelling helpful app reviews},
author={Simmons, Andrew and Hoon, Leonard},
booktitle={Proceedings of the 28th Australian Conference on Computer-Human Interaction},
pages={416--420},
year={2016},
organization={ACM}
}
@inproceedings{i2017crowdsourced,
title={Crowdsourced App Review Manipulation},
author={Li, Shanshan and Caverlee, James and Niu, Wei and Kaghazgaran, Parisa},
booktitle={Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval},
pages={1137--1140},
year={2017},
organization={ACM}
}
@inproceedings{chen2017toward,
title={Toward detecting collusive ranking manipulation attackers in mobile app markets},
author={Chen, Hao and He, Daojing and Zhu, Sencun and Yang, Jingshun},
booktitle={Proceedings of the 2017 ACM on Asia Conference on Computer and Communications Security},
pages={58--70},
year={2017},
organization={ACM}
}
@inproceedings{xie2016you,
title={You can promote, but you can't hide: large-scale abused app detection in mobile app stores},
author={Xie, Zhen and Zhu, Sencun and Li, Qing and Wang, Wenjing},
booktitle={Proceedings of the 32nd Annual Conference on Computer Security Applications},
pages={374--385},
year={2016},
organization={ACM}
}
@article{nayebi2018app,
title={App store mining is not enough for app improvement},
author={Nayebi, Maleknaz and Cho, Henry and Ruhe, Guenther},
journal={Empirical Software Engineering},
pages={1--31},
year={2018},
publisher={Springer}
}
@article{martin2015survey,
title={A survey of app store analysis for software engineering},
author={Martin, William and Sarro, Federica and Jia, Yue and Zhang, Yuanyuan and Harman, Mark},
journal={IEEE transactions on software engineering},
volume={43},
number={9},
pages={817--847},
year={2017},
publisher={IEEE}
}
@article{genc2017systematic,
title={A systematic literature review: Opinion mining studies from mobile app store user reviews},
author={Genc-Nayebi, Necmiye and Abran, Alain},
journal={Journal of Systems and Software},
volume={125},
pages={207--219},
year={2017},
publisher={Elsevier}
}
@inproceedings{aralikatte2018fault,
title={Fault in your stars: an analysis of Android app reviews},
author={Aralikatte, Rahul and Sridhara, Giriprasad and Gantayat, Neelamadhav and Mani, Senthil},
booktitle={Proceedings of the ACM India Joint International Conference on Data Science and Management of Data},
pages={57--66},
year={2018},
organization={ACM}
}
@inproceedings{wang2018android,
title={Why are Android apps removed from Google Play?: a large-scale empirical study},
author={Wang, Haoyu and Li, Hao and Li, Li and Guo, Yao and Xu, Guoai},
booktitle={Proceedings of the 15th International Conference on Mining Software Repositories},
pages={231--242},
year={2018},
organization={ACM}
}
@Book{xie2015,
title = {Dynamic Documents with {R} and knitr},
author = {Yihui Xie},
publisher = {Chapman and Hall/CRC},
address = {Boca Raton, Florida},
year = {2015},
edition = {2nd},
note = {ISBN 978-1498716963},
url = {http://yihui.name/knitr/},
}
@article{kitchenham2004procedures,
title={Procedures for performing systematic reviews},
author={Kitchenham, Barbara},
journal={Keele, UK, Keele University},
volume={33},
number={2004},
pages={1--26},
year={2004}
}
% ---- INITIAL SEED BUG PREDICTION ---- %
@article{DAmbros2010,
archivePrefix = {arXiv},
arxivId = {arXiv:1402.3873v2},
author = {D'Ambros, Marco and Lanza, Michele and Robbes, Romain},
doi = {10.1109/MSR.2010.5463279},
eprint = {arXiv:1402.3873v2},
isbn = {9781424468034},
issn = {02705257},
journal = {Proceedings - International Conference on Software Engineering},
keywords = {[Electronic Manuscript]},
pages = {31--41},
pmid = {14571374},
title = {{An extensive comparison of bug prediction approaches}},
year = {2010}
}
@inproceedings{Lewis2013,
author = {Lewis, Chris and Lin, Zhongpeng and Sadowski, Caitlin and Zhu, Xiaoyan and Ou, Rong and Whitehead, E. James},
booktitle = {2013 35th International Conference on Software Engineering (ICSE)},
doi = {10.1109/ICSE.2013.6606583},
isbn = {978-1-4673-3076-3},
month = {may},
pages = {372--381},
publisher = {IEEE},
title = {{Does bug prediction support human developers? Findings from a Google case study}},
url = {http://ieeexplore.ieee.org/document/6606583/},
year = {2013}
}
@article{Arisholm2010,
author = {Arisholm, Erik and Briand, Lionel C and Johannessen, Eivind B},
doi = {10.1016/j.jss.2009.06.055},
isbn = {0164-1212},
issn = {01641212},
journal = {Journal of Systems and Software},
keywords = {Cost-effectiveness,Fault prediction models,Verification},
number = {1},
pages = {2--17},
title = {{A systematic and comprehensive investigation of methods to build and evaluate fault prediction models}},
url = {https://ac.els-cdn.com/S0164121209001605/1-s2.0-S0164121209001605-main.pdf?{\_}tid=92a2f1a8-4bd2-4fe0-afdd-6ba58bccd31d{\&}acdnat=1536888305{\_}7d2566bc695559cbb4e74fdee3304bc0},
volume = {83},
year = {2010}
}
@article{Gyimothy2005,
author = {Gyimothy, T. and Ferenc, R. and Siket, I.},
doi = {10.1109/TSE.2005.112},
issn = {0098-5589},
journal = {IEEE Transactions on Software Engineering},
month = {oct},
number = {10},
pages = {897--910},
title = {{Empirical validation of object-oriented metrics on open source software for fault prediction}},
url = {http://ieeexplore.ieee.org/document/1542070/},
volume = {31},
year = {2005}
}
@article{Hall2012,
author = {Hall, T. and Beecham, S. and Bowes, D. and Gray, D. and Counsell, S.},
doi = {10.1109/TSE.2011.103},
issn = {0098-5589},
journal = {IEEE Transactions on Software Engineering},
month = {nov},
number = {6},
pages = {1276--1304},
title = {{A Systematic Literature Review on Fault Prediction Performance in Software Engineering}},
url = {http://ieeexplore.ieee.org/document/6035727/},
volume = {38},
year = {2012}
}
@misc{Catal2009review,
archivePrefix = {arXiv},
arxivId = {arXiv:1011.1669v3},
author = {Catal, Cagatay and Diri, Banu},
booktitle = {Expert Systems with Applications},
doi = {10.1016/j.eswa.2008.10.027},
eprint = {arXiv:1011.1669v3},
isbn = {0957-4174},
issn = {09574174},
keywords = {Automated fault prediction models,Expert systems,Machine learning,Method-level metrics,Public datasets},
number = {4},
pages = {7346--7354},
pmid = {25246403},
title = {{A systematic review of software fault prediction studies}},
url = {https://ac.els-cdn.com/S0957417408007215/1-s2.0-S0957417408007215-main.pdf?{\_}tid=f8b58ec9-c9a8-42d6-8bfd-d73c0f25d69e{\&}acdnat=1536697658{\_}4a8c6621a4a2ac4f49d65e0687927d91},
volume = {36},
year = {2009}
}
% ---- END INITIAL SEED BUG PREDICTION ---- %
% ---- BUG PREDICTION ---- %
@inproceedings{giger2012,
author = {Giger, Emanuel and D'Ambros, Marco and Pinzger, Martin and Gall, Harald C.},
title = {Method-level Bug Prediction},
booktitle = {Proceedings of the ACM-IEEE International Symposium on Empirical Software Engineering and Measurement},
series = {ESEM '12},
year = {2012},
isbn = {978-1-4503-1056-7},
location = {Lund, Sweden},
pages = {171--180},
numpages = {10},
url = {http://doi.acm.org/10.1145/2372251.2372285},
doi = {10.1145/2372251.2372285},
acmid = {2372285},
publisher = {ACM},
address = {New York, NY, USA},
keywords = {code metrics, fine-grained source code changes, method-level bug prediction},
}
@INPROCEEDINGS{wang2016,
author={S. Wang and T. Liu and L. Tan},
booktitle={2016 IEEE/ACM 38th International Conference on Software Engineering (ICSE)},
title={Automatically Learning Semantic Features for Defect Prediction},
year={2016},
volume={},
number={},
pages={297-308},
keywords={belief networks;neural nets;program diagnostics;programming language semantics;public domain software;source code (software);semantic feature learning;software defect prediction;representation-learning algorithm;deep learning;programs semantic representation;source code;deep belief network;token vectors;abstract syntax trees;DBN;AST;open source projects;within-project defect prediction;cross-project defect prediction;WPDP;CPDP;Semantics;Feature extraction;Training;Predictive models;Buildings;Syntactics;Data models;defect prediction;feature generation;deep learning},
doi={10.1145/2884781.2884804},
ISSN={1558-1225},
month={May},
}
@inproceedings{zimmermann2009,
author = {Zimmermann, Thomas and Nagappan, Nachiappan and Gall, Harald and Giger, Emanuel and Murphy, Brendan},
title = {Cross-project Defect Prediction: A Large Scale Experiment on Data vs. Domain vs. Process},
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booktitle={2013 35th International Conference on Software Engineering (ICSE)},
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volume={},
number={},
pages={432-441},
keywords={software metrics;software performance evaluation;software quality;statistical analysis;process metrics;defect prediction;quality-assurance efforts;defect-prone files;statistical tools;software metrics;model deployment;code metrics;performance;stability;portability;Measurement;Predictive models;Object oriented modeling;Training;Support vector machines;Software;Complexity theory},
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% ---- END BUG PREDICTION ---- %
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