Mining user reviews of COVID contact-tracing apps: An exploratory analysis of nine European apps

More than 78 countries have developed COVID contact-tracing apps to limit the spread of coronavirus. However, many experts and scientists cast doubt on the effectiveness of those apps. For each app, a large number of reviews have been entered by end-users in app stores. Our goal is to gain insights...

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Published in:The Journal of systems and software Vol. 184; p. 111136
Main Authors: Garousi, Vahid, Cutting, David, Felderer, Michael
Format: Journal Article
Language:English
Published: United States Elsevier Inc 01.02.2022
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ISSN:0164-1212, 1873-1228, 1873-1228
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Abstract More than 78 countries have developed COVID contact-tracing apps to limit the spread of coronavirus. However, many experts and scientists cast doubt on the effectiveness of those apps. For each app, a large number of reviews have been entered by end-users in app stores. Our goal is to gain insights into the user reviews of those apps, and to find out the main problems that users have reported. Our focus is to assess the “software in society” aspects of the apps, based on user reviews. We selected nine European national apps for our analysis and used a commercial app-review analytics tool to extract and mine the user reviews. For all the apps combined, our dataset includes 39,425 user reviews. Results show that users are generally dissatisfied with the nine apps under study, except the Scottish (“Protect Scotland”) app. Some of the major issues that users have complained about are high battery drainage and doubts on whether apps are really working. Our results show that more work is needed by the stakeholders behind the apps (e.g., app developers, decision-makers, public health experts) to improve the public adoption, software quality and public perception of these apps. •Users are generally dissatisfied with the nine apps under study.•Two major issues are high battery drainage and doubts on apps’ correct functionality.•A large number of cross-(mobile) device issues have been reported for the apps.
AbstractList More than 78 countries have developed COVID contact-tracing apps to limit the spread of coronavirus. However, many experts and scientists cast doubt on the effectiveness of those apps. For each app, a large number of reviews have been entered by end-users in app stores.CONTEXTMore than 78 countries have developed COVID contact-tracing apps to limit the spread of coronavirus. However, many experts and scientists cast doubt on the effectiveness of those apps. For each app, a large number of reviews have been entered by end-users in app stores.Our goal is to gain insights into the user reviews of those apps, and to find out the main problems that users have reported. Our focus is to assess the "software in society" aspects of the apps, based on user reviews.OBJECTIVEOur goal is to gain insights into the user reviews of those apps, and to find out the main problems that users have reported. Our focus is to assess the "software in society" aspects of the apps, based on user reviews.We selected nine European national apps for our analysis and used a commercial app-review analytics tool to extract and mine the user reviews. For all the apps combined, our dataset includes 39,425 user reviews.METHODWe selected nine European national apps for our analysis and used a commercial app-review analytics tool to extract and mine the user reviews. For all the apps combined, our dataset includes 39,425 user reviews.Results show that users are generally dissatisfied with the nine apps under study, except the Scottish ("Protect Scotland") app. Some of the major issues that users have complained about are high battery drainage and doubts on whether apps are really working.RESULTSResults show that users are generally dissatisfied with the nine apps under study, except the Scottish ("Protect Scotland") app. Some of the major issues that users have complained about are high battery drainage and doubts on whether apps are really working.Our results show that more work is needed by the stakeholders behind the apps (e.g., app developers, decision-makers, public health experts) to improve the public adoption, software quality and public perception of these apps.CONCLUSIONOur results show that more work is needed by the stakeholders behind the apps (e.g., app developers, decision-makers, public health experts) to improve the public adoption, software quality and public perception of these apps.
More than 78 countries have developed COVID contact-tracing apps to limit the spread of coronavirus. However, many experts and scientists cast doubt on the effectiveness of those apps. For each app, a large number of reviews have been entered by end-users in app stores. Our goal is to gain insights into the user reviews of those apps, and to find out the main problems that users have reported. Our focus is to assess the "software in society" aspects of the apps, based on user reviews. We selected nine European national apps for our analysis and used a commercial app-review analytics tool to extract and mine the user reviews. For all the apps combined, our dataset includes 39,425 user reviews. Results show that users are generally dissatisfied with the nine apps under study, except the Scottish ("Protect Scotland") app. Some of the major issues that users have complained about are high battery drainage and doubts on whether apps are really working. Our results show that more work is needed by the stakeholders behind the apps (e.g., app developers, decision-makers, public health experts) to improve the public adoption, software quality and public perception of these apps.
Context: More than 78 countries have developed COVID contact-tracing apps to limit the spread of coronavirus. However, many experts and scientists cast doubt on the effectiveness of those apps. For each app, a large number of reviews have been entered by end-users in app stores. Objective: Our goal is to gain insights into the user reviews of those apps, and to find out the main problems that users have reported. Our focus is to assess the “software in society” aspects of the apps, based on user reviews. Method: We selected nine European national apps for our analysis and used a commercial app-review analytics tool to extract and mine the user reviews. For all the apps combined, our dataset includes 39,425 user reviews. Results: Results show that users are generally dissatisfied with the nine apps under study, except the Scottish (“Protect Scotland”) app. Some of the major issues that users have complained about are high battery drainage and doubts on whether apps are really working. Conclusion: Our results show that more work is needed by the stakeholders behind the apps (e.g., app developers, decision-makers, public health experts) to improve the public adoption, software quality and public perception of these apps. © 2021 Elsevier Inc.
More than 78 countries have developed COVID contact-tracing apps to limit the spread of coronavirus. However, many experts and scientists cast doubt on the effectiveness of those apps. For each app, a large number of reviews have been entered by end-users in app stores. Our goal is to gain insights into the user reviews of those apps, and to find out the main problems that users have reported. Our focus is to assess the “software in society” aspects of the apps, based on user reviews. We selected nine European national apps for our analysis and used a commercial app-review analytics tool to extract and mine the user reviews. For all the apps combined, our dataset includes 39,425 user reviews. Results show that users are generally dissatisfied with the nine apps under study, except the Scottish (“Protect Scotland”) app. Some of the major issues that users have complained about are high battery drainage and doubts on whether apps are really working. Our results show that more work is needed by the stakeholders behind the apps (e.g., app developers, decision-makers, public health experts) to improve the public adoption, software quality and public perception of these apps. •Users are generally dissatisfied with the nine apps under study.•Two major issues are high battery drainage and doubts on apps’ correct functionality.•A large number of cross-(mobile) device issues have been reported for the apps.
ArticleNumber 111136
Author Felderer, Michael
Garousi, Vahid
Cutting, David
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  surname: Cutting
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  givenname: Michael
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  fullname: Felderer, Michael
  email: michael.felderer@uibk.ac.at
  organization: University of Innsbruck, Austria
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Cites_doi 10.1145/3084226.3084241
10.1016/S2215-0366(16)30005-0
10.9745/GHSP-D-15-00207
10.1007/s10664-008-9102-8
10.1038/sj.bdj.2015.585
10.3390/s120911734
10.1109/MS.2019.2949322
10.1093/shm/9.2.195
10.1007/978-3-030-63086-7_4
10.1007/s10664-018-9617-6
10.2196/19857
10.1109/SEmotion.2017.6
10.1109/RE.2014.6912257
10.1016/j.jss.2016.11.027
10.1109/TSE.2014.2360674
10.1109/ESEM.2013.9
10.1007/978-3-030-63086-7_17
10.1145/2992154.2992177
10.1186/s12879-019-4354-z
10.1109/MSR.2013.6624001
10.2196/20572
10.1109/ACCESS.2020.3010226
10.1109/MS.2014.50
10.2196/mhealth.3422
10.1007/s10664-019-09716-7
10.1145/1143844.1143967
10.3233/AO-150150
10.1007/978-3-642-01680-6_12
10.1155/2020/8851429
10.1145/2774225.2775075
10.2196/19457
10.1016/j.jtbi.2015.08.004
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Keywords COVID
User reviews
Mobile apps
Contact-tracing
Software in society
Data mining
Software engineering
Language English
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References Lu, M., Liang, P., 2017. Automatic classification of non-functional requirements from augmented app user reviews. In: Proceedings of the 21st International Conference on Evaluation and Assessment in Software Engineering. pp. 344–353.
Guzman, E., Maalej, W., 2014. How do users like this feature? a fine grained sentiment analysis of app reviews. In: IEEE international requirements engineering conference. pp. 153–162.
Kazman, Pasquale (b34) 2019; 37
Stoyanov, Hides, Kavanagh, Zelenko, Tjondronegoro, Mani (b61) 2015; 3
Wang, Ding, Xiong (b66) 2020; 8
Martens, D., Johann, T., 2017. On the emotion of users in app reviews. In: IEEE/ACM International Workshop on Emotion Awareness in Software Engineering. SEmotion, pp. 8–14.
Ahmed (b1) 2020; 8
Lim, Bentley, Kanakam, Ishikawa, Honiden (b40) 2014; 41
Walrave, Waeterloos, Ponnet (b65) 2020; 6
Blom (b7) 2021
Iacob, C., Harrison, R., 2013. Retrieving and analyzing mobile apps feature requests from online reviews, In: Working conference on Mining Software Repositories. pp. 41–44.
Joorabchi, M.E., Mesbah, A., Kruchten, P., 2013. Real challenges in mobile app development, In: ACM/IEEE International Symposium on Empirical Software Engineering and Measurement. pp. 15–24.
Sacks (b58) 2015; 3
Webber (b67) 2015
Jha, Mahmoud (b32) 2019; 24
Martin, Karopoulos, Hernández-Ramos, Kambourakis, Nai Fovino (b46) 2020; 2020
Guttal, Krishna, Siddharthan (b21) 2020
Wohlin, Runeson, Höst, Ohlsson, Regnell, Wesslén (b70) 2000
Morales-Ramirez, Perini, Guizzardi (b48) 2015; 10
Ksir, Hart (b36) 2016; 3
Gomez, Oller, Paradells (b19) 2012; 12
Martuscelli, Heikkilä (b47) 2020
Wen, H., Zhao, Q., Lin, Z., Xuan, D., Shroff, N., 2020. A study of the privacy of covid-19 contact tracing apps. In: International Conference on Security and Privacy in Communication Networks.
Baltes, Ralph (b5) 2020
Trang, Trenz, Weiger, Tarafdar, Cheung (b63) 2020
Genc-Nayebi, Abran (b18) 2017; 125
Scudellari (b60) 2020; 13
Braithwaite, Callender, Bullock, Aldridge (b8) 2020
Li, Guo (b39) 2020
Maalej, Nabil (b43) 2015
Runeson, Höst (b57) 2009; 14
Guzman, Ibrahim, Glinz (b22) 2017
Kukuk (b37) 2020
Williams, Mahmoud (b69) 2017
Altmann (b2) 2020; 8
Aslam (b4) 2015; 219
Hu, Wang, Bezemer, Hassan (b28) 2019; 24
Nayebi, Marbouti, Quapp, Maurer, Ruhe (b49) 2017
Nebeling, M., Husmann, M., Zimmerli, C., Valente, G., Norrie, M.C., 2015. XDSession: integrated development and testing of cross-device applications, In: Proceedings of the 7th ACM SIGCHI Symposium on Engineering Interactive Computing Systems. pp. 22–27.
Leith, Farrell (b38) 2020
Cho, Ippolito, Yu (b11) 2020
Henry (b25) 1990
Fernández, Graziotin, Wagner, Seibold (b16) 2019
Khalid, Shihab, Nagappan, Hassan (b35) 2014; 32
Browne, Gulbudak, Webb (b9) 2015; 384
Liu (b41) 2012; 5
Budd (b10) 2020
Garousi, V., 2009. Evidence-based Insights about Issue Management Processes: An Exploratory Study. In: Proceedings of the International Conference on Software Process. ICSP, pp. 112–123.
Redmiles (b54) 2020
Zhao, Q., Wen, H., Lin, Z., Xuan, D., Shroff, N., 2020. On the accuracy of measured proximity of bluetooth-based contact tracing apps In: International Conference on Security and Privacy in Communication Networks.
Horvath, Banducci, James (b27) 2020
Zarandy, Shumailov, Anderson (b71) 2020
Farronato, Iansiti, Bartosiak, Denicolai, Ferretti, Fontana (b14) 2020
Danquah (b12) 2019; 19
Davidson (b13) 1996; 9
Fenn, Raskino (b15) 2008
Hoepman (b26) 2020
Scherr, Elberzhager, Meyer (b59) 2019
Nicholas, Armitage, Tampe, Dienes (b51) 2020
Sun, Wang, Xue, Tyson, Camtepe, Ranasinghe (b62) 2020
Anon (b3) 2020
Potter, Hagen, Kerren, Dannenmann (b53) 2006
Husmann, M., Spiegel, M., Murolo, A., Norrie, M.C., 2016. UI testing cross-device applications. In: Proceedings of the 2016 ACM International Conference on Interactive Surfaces and Spaces. pp. 179–188.
Rekanar (b55) 2020
Rizzo (b56) 2020
Basili (b6) 1992
Hayden (b24) 2006
Maalej, Nayebi, Ruhe (b44) 2019
Wallach, H.M., 2006. Topic modeling: beyond bag-of-words. In: Proceedings of the international conference on Machine learning. pp. 977–984.
Groen, Doerr, Adam (b20) 2015
Pagano, Maalej (b52) 2013
Jha, Mahmoud (b31) 2017
10.1016/j.jss.2021.111136_b50
Sacks (10.1016/j.jss.2021.111136_b58) 2015; 3
Braithwaite (10.1016/j.jss.2021.111136_b8) 2020
Aslam (10.1016/j.jss.2021.111136_b4) 2015; 219
10.1016/j.jss.2021.111136_b17
Hayden (10.1016/j.jss.2021.111136_b24) 2006
Maalej (10.1016/j.jss.2021.111136_b43) 2015
Maalej (10.1016/j.jss.2021.111136_b44) 2019
Morales-Ramirez (10.1016/j.jss.2021.111136_b48) 2015; 10
Martuscelli (10.1016/j.jss.2021.111136_b47) 2020
Nayebi (10.1016/j.jss.2021.111136_b49) 2017
Ksir (10.1016/j.jss.2021.111136_b36) 2016; 3
Scudellari (10.1016/j.jss.2021.111136_b60) 2020; 13
Fenn (10.1016/j.jss.2021.111136_b15) 2008
Anon (10.1016/j.jss.2021.111136_b3) 2020
Gomez (10.1016/j.jss.2021.111136_b19) 2012; 12
Li (10.1016/j.jss.2021.111136_b39) 2020
Jha (10.1016/j.jss.2021.111136_b31) 2017
Liu (10.1016/j.jss.2021.111136_b41) 2012; 5
Altmann (10.1016/j.jss.2021.111136_b2) 2020; 8
Sun (10.1016/j.jss.2021.111136_b62) 2020
Hoepman (10.1016/j.jss.2021.111136_b26) 2020
Horvath (10.1016/j.jss.2021.111136_b27) 2020
Guttal (10.1016/j.jss.2021.111136_b21) 2020
10.1016/j.jss.2021.111136_b42
Rizzo (10.1016/j.jss.2021.111136_b56) 2020
10.1016/j.jss.2021.111136_b45
Potter (10.1016/j.jss.2021.111136_b53) 2006
Stoyanov (10.1016/j.jss.2021.111136_b61) 2015; 3
Groen (10.1016/j.jss.2021.111136_b20) 2015
Walrave (10.1016/j.jss.2021.111136_b65) 2020; 6
Davidson (10.1016/j.jss.2021.111136_b13) 1996; 9
Zarandy (10.1016/j.jss.2021.111136_b71) 2020
Wang (10.1016/j.jss.2021.111136_b66) 2020; 8
Williams (10.1016/j.jss.2021.111136_b69) 2017
10.1016/j.jss.2021.111136_b72
Jha (10.1016/j.jss.2021.111136_b32) 2019; 24
Kazman (10.1016/j.jss.2021.111136_b34) 2019; 37
Farronato (10.1016/j.jss.2021.111136_b14) 2020
Nicholas (10.1016/j.jss.2021.111136_b51) 2020
Rekanar (10.1016/j.jss.2021.111136_b55) 2020
Danquah (10.1016/j.jss.2021.111136_b12) 2019; 19
Hu (10.1016/j.jss.2021.111136_b28) 2019; 24
Genc-Nayebi (10.1016/j.jss.2021.111136_b18) 2017; 125
Lim (10.1016/j.jss.2021.111136_b40) 2014; 41
Trang (10.1016/j.jss.2021.111136_b63) 2020
10.1016/j.jss.2021.111136_b30
Blom (10.1016/j.jss.2021.111136_b7) 2021
10.1016/j.jss.2021.111136_b33
Wohlin (10.1016/j.jss.2021.111136_b70) 2000
Budd (10.1016/j.jss.2021.111136_b10) 2020
Basili (10.1016/j.jss.2021.111136_b6) 1992
Henry (10.1016/j.jss.2021.111136_b25) 1990
Kukuk (10.1016/j.jss.2021.111136_b37) 2020
Scherr (10.1016/j.jss.2021.111136_b59) 2019
Baltes (10.1016/j.jss.2021.111136_b5) 2020
Khalid (10.1016/j.jss.2021.111136_b35) 2014; 32
Cho (10.1016/j.jss.2021.111136_b11) 2020
10.1016/j.jss.2021.111136_b29
Redmiles (10.1016/j.jss.2021.111136_b54) 2020
Fernández (10.1016/j.jss.2021.111136_b16) 2019
Guzman (10.1016/j.jss.2021.111136_b22) 2017
Martin (10.1016/j.jss.2021.111136_b46) 2020; 2020
Ahmed (10.1016/j.jss.2021.111136_b1) 2020; 8
Pagano (10.1016/j.jss.2021.111136_b52) 2013
10.1016/j.jss.2021.111136_b64
10.1016/j.jss.2021.111136_b23
Browne (10.1016/j.jss.2021.111136_b9) 2015; 384
Webber (10.1016/j.jss.2021.111136_b67) 2015
10.1016/j.jss.2021.111136_b68
Leith (10.1016/j.jss.2021.111136_b38) 2020
Runeson (10.1016/j.jss.2021.111136_b57) 2009; 14
References_xml – volume: 8
  start-page: 134577
  year: 2020
  end-page: 134601
  ident: b1
  article-title: A survey of covid-19 contact tracing apps
  publication-title: IEEE Access
– start-page: 125
  year: 2013
  end-page: 134
  ident: b52
  article-title: User feedback in the appstore: An empirical study
  publication-title: 2013 21st IEEE International Requirements Engineering Conference
– year: 2020
  ident: b51
  article-title: Public attitudes towards COVID-19 contact tracing apps: a UK-based focus group study
– start-page: 45
  year: 2019
  end-page: 56
  ident: b59
  article-title: Listen to your users–quality improvement of mobile apps through lightweight feedback analyses
  publication-title: International Conference on Software Quality
– year: 2020
  ident: b39
  article-title: COVID-19 contact-tracing apps: A survey on the global deployment and challenges
– reference: Nebeling, M., Husmann, M., Zimmerli, C., Valente, G., Norrie, M.C., 2015. XDSession: integrated development and testing of cross-device applications, In: Proceedings of the 7th ACM SIGCHI Symposium on Engineering Interactive Computing Systems. pp. 22–27.
– volume: 3
  start-page: 401
  year: 2016
  ident: b36
  article-title: Correlation still does not imply causation
  publication-title: Lancet Psychiatry
– year: 2020
  ident: b47
  article-title: Scientists cast doubt on effectiveness of coronavirus contact-tracing apps
– year: 2020
  ident: b56
  article-title: COVID-19 contact tracing apps: the ‘elderly paradox’
– volume: 2020
  year: 2020
  ident: b46
  article-title: Demystifying COVID-19 digital contact tracing: A survey on frameworks and mobile apps
  publication-title: Wirel. Commun. Mob. Comput.
– year: 2020
  ident: b38
  article-title: Measurement-Based Evaluation of Google/Apple Exposure Notification API for Proximity Detection in a Commuter Bus
– start-page: 57
  year: 2017
  end-page: 66
  ident: b49
  article-title: Crowdsourced exploration of mobile app features: A case study of the fort McMurray wildfire
  publication-title: IEEE/ACM International Conference on Software Engineering: Software Engineering in Society Track
– volume: 5
  start-page: 1
  year: 2012
  end-page: 167
  ident: b41
  article-title: Sentiment analysis and opinion mining
  publication-title: Synth. Lect. Hum. Lang. Technol.
– year: 2020
  ident: b55
  article-title: Sentiment analysis of user feedback on the HSE contact tracing app
– reference: Iacob, C., Harrison, R., 2013. Retrieving and analyzing mobile apps feature requests from online reviews, In: Working conference on Mining Software Repositories. pp. 41–44.
– volume: 13
  year: 2020
  ident: b60
  article-title: COVID-19 digital contact tracing: Apple and google work together as MIT tests validity
  publication-title: IEEE Spectr.
– year: 2020
  ident: b21
  article-title: Risk assessment via layered mobile contact tracing for epidemiological intervention
– volume: 24
  start-page: 7
  year: 2019
  end-page: 32
  ident: b28
  article-title: Studying the consistency of star ratings and reviews of popular free hybrid android and iOS apps
  publication-title: Empir. Softw. Eng.
– start-page: 11
  year: 2017
  end-page: 20
  ident: b22
  article-title: A little bird told me: Mining tweets for requirements and software evolution
  publication-title: 2017 IEEE 25th International Requirements Engineering Conference
– start-page: 97
  year: 2006
  end-page: 106
  ident: b53
  article-title: Methods for presenting statistical information: The box plot
  publication-title: Visualization of Large and Unstructured Data Sets, Vol. 4
– volume: 37
  start-page: 7
  year: 2019
  end-page: 9
  ident: b34
  article-title: Software engineering in society
  publication-title: IEEE Softw.
– year: 2020
  ident: b11
  article-title: Contact tracing mobile apps for COVID-19: Privacy considerations and related trade-offs
– year: 2000
  ident: b70
  article-title: Experimentation in Software Engineering: An Introduction
– year: 2019
  ident: b16
  article-title: Open science in software engineering
– volume: 41
  start-page: 40
  year: 2014
  end-page: 64
  ident: b40
  article-title: Investigating country differences in mobile app user behavior and challenges for software engineering
  publication-title: IEEE Trans. Softw. Eng.
– start-page: 1
  year: 2020
  end-page: 14
  ident: b63
  article-title: One app to trace them all? Examining app specifications for mass acceptance of contact-tracing apps
  publication-title: Eur. J. Inf. Syst.
– volume: 3
  start-page: e27
  year: 2015
  ident: b61
  article-title: Mobile app rating scale: a new tool for assessing the quality of health mobile apps
  publication-title: JMIR MHealth UHealth
– start-page: 1
  year: 2020
  end-page: 10
  ident: b10
  article-title: Digital technologies in the public-health response to COVID-19
  publication-title: Nature Med.
– year: 2020
  ident: b54
  article-title: User concerns & tradeoffs in technology-facilitated contact tracing
– reference: Lu, M., Liang, P., 2017. Automatic classification of non-functional requirements from augmented app user reviews. In: Proceedings of the 21st International Conference on Evaluation and Assessment in Software Engineering. pp. 344–353.
– year: 2008
  ident: b15
  article-title: Mastering the Hype Cycle: How To Choose the Right Innovation At the Right Time
– reference: Wallach, H.M., 2006. Topic modeling: beyond bag-of-words. In: Proceedings of the international conference on Machine learning. pp. 977–984.
– reference: Garousi, V., 2009. Evidence-based Insights about Issue Management Processes: An Exploratory Study. In: Proceedings of the International Conference on Software Process. ICSP, pp. 112–123.
– start-page: 273
  year: 2017
  end-page: 287
  ident: b31
  article-title: Mining user requirements from application store reviews using frame semantics
  publication-title: International Working Conference on Requirements Engineering: Foundation for Software Quality
– year: 2020
  ident: b3
  article-title: The British Psychological Society, Behavioural Science and Success of the Proposed UK Digital Contact Tracing Application for Covid-19
– reference: Joorabchi, M.E., Mesbah, A., Kruchten, P., 2013. Real challenges in mobile app development, In: ACM/IEEE International Symposium on Empirical Software Engineering and Measurement. pp. 15–24.
– reference: Guzman, E., Maalej, W., 2014. How do users like this feature? a fine grained sentiment analysis of app reviews. In: IEEE international requirements engineering conference. pp. 153–162.
– year: 2020
  ident: b71
  article-title: BatNet: Data transmission between smartphones over ultrasound
– volume: 32
  start-page: 70
  year: 2014
  end-page: 77
  ident: b35
  article-title: What do mobile app users complain about?
  publication-title: IEEE Softw.
– year: 1992
  ident: b6
  article-title: Software Modeling and Measurement: The Goal/Question/Metric Paradigm
– year: 2020
  ident: b5
  article-title: Sampling in software engineering research: A critical review and guidelines
– year: 2020
  ident: b62
  article-title: Vetting security and privacy of global COVID-19 contact tracing applications
– volume: 24
  start-page: 3659
  year: 2019
  end-page: 3695
  ident: b32
  article-title: Mining non-functional requirements from app store reviews
  publication-title: Empir. Softw. Eng.
– year: 2021
  ident: b7
  article-title: Barriers to the Large-Scale Adoption of the COVID-19 Contact-Tracing App in Germany
– year: 2006
  ident: b24
  article-title: Policymaking for a Good Society: The Social Fabric Matrix Approach To Policy Analysis and Program Evaluation
– reference: Wen, H., Zhao, Q., Lin, Z., Xuan, D., Shroff, N., 2020. A study of the privacy of covid-19 contact tracing apps. In: International Conference on Security and Privacy in Communication Networks.
– volume: 125
  start-page: 207
  year: 2017
  end-page: 219
  ident: b18
  article-title: A systematic literature review: Opinion mining studies from mobile app store user reviews
  publication-title: J. Syst. Softw.
– start-page: 1
  year: 2020
  end-page: 13
  ident: b27
  article-title: Citizens’ attitudes to contact tracing apps
  publication-title: J. Exp. Political Sci.
– reference: Husmann, M., Spiegel, M., Murolo, A., Norrie, M.C., 2016. UI testing cross-device applications. In: Proceedings of the 2016 ACM International Conference on Interactive Surfaces and Spaces. pp. 179–188.
– start-page: 1
  year: 2017
  end-page: 10
  ident: b69
  article-title: Mining twitter feeds for software user requirements
  publication-title: 2017 IEEE 25th International Requirements Engineering Conference
– reference: Zhao, Q., Wen, H., Lin, Z., Xuan, D., Shroff, N., 2020. On the accuracy of measured proximity of bluetooth-based contact tracing apps In: International Conference on Security and Privacy in Communication Networks.
– start-page: 289
  year: 2019
  end-page: 290
  ident: b44
  article-title: Data-driven requirements engineering-an update
  publication-title: 2019 IEEE/ACM 41st International Conference on Software Engineering: Software Engineering in Practice
– volume: 14
  start-page: 131
  year: 2009
  end-page: 164
  ident: b57
  article-title: Guidelines for conducting and reporting case study research in software engineering
  publication-title: Empir. Softw. Eng.
– start-page: 247
  year: 2015
  end-page: 253
  ident: b20
  article-title: Towards crowd-based requirements engineering a research preview
  publication-title: International Working Conference on Requirements Engineering: Foundation for Software Quality
– volume: 12
  start-page: 11734
  year: 2012
  end-page: 11753
  ident: b19
  article-title: Overview and evaluation of bluetooth low energy: An emerging low-power wireless technology
  publication-title: Sensors
– volume: 384
  start-page: 33
  year: 2015
  end-page: 49
  ident: b9
  article-title: Modeling contact tracing in outbreaks with application to Ebola
  publication-title: J. Theoret. Biol.
– year: 2020
  ident: b14
  article-title: How to get people to actually use contact-tracing apps
– reference: Martens, D., Johann, T., 2017. On the emotion of users in app reviews. In: IEEE/ACM International Workshop on Emotion Awareness in Software Engineering. SEmotion, pp. 8–14.
– start-page: 116
  year: 2015
  end-page: 125
  ident: b43
  article-title: Bug report, feature request, or simply praise? on automatically classifying app reviews
  publication-title: IEEE International Requirements Engineering Conference
– volume: 6
  start-page: e20572
  year: 2020
  ident: b65
  article-title: Adoption of a contact tracing app for containing COVID-19: A health belief model approach
  publication-title: JMIR Public Health Surv.
– volume: 9
  start-page: 195
  year: 1996
  end-page: 214
  ident: b13
  article-title: ’searching for Mary, Glasgow’: Contact tracing for sexually transmitted diseases in twentieth-century Scotland
  publication-title: Soc. Hist. Med.
– volume: 19
  start-page: 810
  year: 2019
  ident: b12
  article-title: Use of a mobile application for ebola contact tracing and monitoring in Northern Sierra leone: a proof-of-concept study
  publication-title: BMC Infect. Dis.
– volume: 10
  start-page: 297
  year: 2015
  end-page: 330
  ident: b48
  article-title: An ontology of online user feedback in software engineering
  publication-title: Appl. Ontog.
– volume: 219
  start-page: 49
  year: 2015
  ident: b4
  article-title: Research ideas: Correlation does not imply causation
  publication-title: Br. Dent. J.
– volume: 3
  start-page: 646
  year: 2015
  end-page: 659
  ident: b58
  article-title: Introduction of mobile health tools to support Ebola surveillance and contact tracing in guinea
  publication-title: Glob. Health Sci. Prac.
– year: 2020
  ident: b37
  article-title: Analyzing Adoption of Contact Tracing Apps using UTAUT
– volume: 8
  start-page: e19857
  year: 2020
  ident: b2
  article-title: Acceptability of app-based contact tracing for COVID-19: Cross-country survey study
  publication-title: JMIR MHealth UHealth
– year: 1990
  ident: b25
  article-title: Practical sampling
  publication-title: Sage
– year: 2015
  ident: b67
  article-title: Semantic folding theory and its application in semantic fingerprinting
– year: 2020
  ident: b26
  article-title: A critique of the google apple exposure notification (GAEN) framework
– volume: 8
  start-page: e19457
  year: 2020
  ident: b66
  article-title: A new system for surveillance and digital contact tracing for COVID-19: spatiotemporal reporting over network and GPS
  publication-title: JMIR MHealth UHealth
– year: 2020
  ident: b8
  article-title: Automated and partly automated contact tracing: a systematic review to inform the control of COVID-19
– ident: 10.1016/j.jss.2021.111136_b42
  doi: 10.1145/3084226.3084241
– volume: 3
  start-page: 401
  issue: 5
  year: 2016
  ident: 10.1016/j.jss.2021.111136_b36
  article-title: Correlation still does not imply causation
  publication-title: Lancet Psychiatry
  doi: 10.1016/S2215-0366(16)30005-0
– year: 2020
  ident: 10.1016/j.jss.2021.111136_b55
– volume: 3
  start-page: 646
  issue: 4
  year: 2015
  ident: 10.1016/j.jss.2021.111136_b58
  article-title: Introduction of mobile health tools to support Ebola surveillance and contact tracing in guinea
  publication-title: Glob. Health Sci. Prac.
  doi: 10.9745/GHSP-D-15-00207
– year: 2020
  ident: 10.1016/j.jss.2021.111136_b26
– volume: 14
  start-page: 131
  issue: 2
  year: 2009
  ident: 10.1016/j.jss.2021.111136_b57
  article-title: Guidelines for conducting and reporting case study research in software engineering
  publication-title: Empir. Softw. Eng.
  doi: 10.1007/s10664-008-9102-8
– start-page: 1
  year: 2020
  ident: 10.1016/j.jss.2021.111136_b63
  article-title: One app to trace them all? Examining app specifications for mass acceptance of contact-tracing apps
  publication-title: Eur. J. Inf. Syst.
– volume: 219
  start-page: 49
  issue: 2
  year: 2015
  ident: 10.1016/j.jss.2021.111136_b4
  article-title: Research ideas: Correlation does not imply causation
  publication-title: Br. Dent. J.
  doi: 10.1038/sj.bdj.2015.585
– volume: 12
  start-page: 11734
  issue: 9
  year: 2012
  ident: 10.1016/j.jss.2021.111136_b19
  article-title: Overview and evaluation of bluetooth low energy: An emerging low-power wireless technology
  publication-title: Sensors
  doi: 10.3390/s120911734
– volume: 37
  start-page: 7
  issue: 1
  year: 2019
  ident: 10.1016/j.jss.2021.111136_b34
  article-title: Software engineering in society
  publication-title: IEEE Softw.
  doi: 10.1109/MS.2019.2949322
– volume: 9
  start-page: 195
  issue: 2
  year: 1996
  ident: 10.1016/j.jss.2021.111136_b13
  article-title: ’searching for Mary, Glasgow’: Contact tracing for sexually transmitted diseases in twentieth-century Scotland
  publication-title: Soc. Hist. Med.
  doi: 10.1093/shm/9.2.195
– start-page: 273
  year: 2017
  ident: 10.1016/j.jss.2021.111136_b31
  article-title: Mining user requirements from application store reviews using frame semantics
– ident: 10.1016/j.jss.2021.111136_b72
  doi: 10.1007/978-3-030-63086-7_4
– year: 2020
  ident: 10.1016/j.jss.2021.111136_b56
– year: 2020
  ident: 10.1016/j.jss.2021.111136_b3
– volume: 24
  start-page: 7
  issue: 1
  year: 2019
  ident: 10.1016/j.jss.2021.111136_b28
  article-title: Studying the consistency of star ratings and reviews of popular free hybrid android and iOS apps
  publication-title: Empir. Softw. Eng.
  doi: 10.1007/s10664-018-9617-6
– year: 2020
  ident: 10.1016/j.jss.2021.111136_b11
– volume: 8
  start-page: e19857
  issue: 8
  year: 2020
  ident: 10.1016/j.jss.2021.111136_b2
  article-title: Acceptability of app-based contact tracing for COVID-19: Cross-country survey study
  publication-title: JMIR MHealth UHealth
  doi: 10.2196/19857
– start-page: 1
  year: 2020
  ident: 10.1016/j.jss.2021.111136_b27
  article-title: Citizens’ attitudes to contact tracing apps
  publication-title: J. Exp. Political Sci.
– year: 2006
  ident: 10.1016/j.jss.2021.111136_b24
– year: 2020
  ident: 10.1016/j.jss.2021.111136_b14
– start-page: 97
  year: 2006
  ident: 10.1016/j.jss.2021.111136_b53
  article-title: Methods for presenting statistical information: The box plot
– ident: 10.1016/j.jss.2021.111136_b45
  doi: 10.1109/SEmotion.2017.6
– volume: 5
  start-page: 1
  issue: 1
  year: 2012
  ident: 10.1016/j.jss.2021.111136_b41
  article-title: Sentiment analysis and opinion mining
  publication-title: Synth. Lect. Hum. Lang. Technol.
– start-page: 289
  year: 2019
  ident: 10.1016/j.jss.2021.111136_b44
  article-title: Data-driven requirements engineering-an update
– year: 2000
  ident: 10.1016/j.jss.2021.111136_b70
– start-page: 1
  year: 2017
  ident: 10.1016/j.jss.2021.111136_b69
  article-title: Mining twitter feeds for software user requirements
– year: 2020
  ident: 10.1016/j.jss.2021.111136_b5
– year: 2015
  ident: 10.1016/j.jss.2021.111136_b67
– ident: 10.1016/j.jss.2021.111136_b23
  doi: 10.1109/RE.2014.6912257
– volume: 125
  start-page: 207
  year: 2017
  ident: 10.1016/j.jss.2021.111136_b18
  article-title: A systematic literature review: Opinion mining studies from mobile app store user reviews
  publication-title: J. Syst. Softw.
  doi: 10.1016/j.jss.2016.11.027
– volume: 41
  start-page: 40
  issue: 1
  year: 2014
  ident: 10.1016/j.jss.2021.111136_b40
  article-title: Investigating country differences in mobile app user behavior and challenges for software engineering
  publication-title: IEEE Trans. Softw. Eng.
  doi: 10.1109/TSE.2014.2360674
– ident: 10.1016/j.jss.2021.111136_b33
  doi: 10.1109/ESEM.2013.9
– ident: 10.1016/j.jss.2021.111136_b68
  doi: 10.1007/978-3-030-63086-7_17
– year: 2020
  ident: 10.1016/j.jss.2021.111136_b62
– start-page: 45
  year: 2019
  ident: 10.1016/j.jss.2021.111136_b59
  article-title: Listen to your users–quality improvement of mobile apps through lightweight feedback analyses
– start-page: 11
  year: 2017
  ident: 10.1016/j.jss.2021.111136_b22
  article-title: A little bird told me: Mining tweets for requirements and software evolution
– ident: 10.1016/j.jss.2021.111136_b29
  doi: 10.1145/2992154.2992177
– volume: 19
  start-page: 810
  issue: 1
  year: 2019
  ident: 10.1016/j.jss.2021.111136_b12
  article-title: Use of a mobile application for ebola contact tracing and monitoring in Northern Sierra leone: a proof-of-concept study
  publication-title: BMC Infect. Dis.
  doi: 10.1186/s12879-019-4354-z
– year: 1990
  ident: 10.1016/j.jss.2021.111136_b25
  article-title: Practical sampling
  publication-title: Sage
– ident: 10.1016/j.jss.2021.111136_b30
  doi: 10.1109/MSR.2013.6624001
– volume: 6
  start-page: e20572
  issue: 3
  year: 2020
  ident: 10.1016/j.jss.2021.111136_b65
  article-title: Adoption of a contact tracing app for containing COVID-19: A health belief model approach
  publication-title: JMIR Public Health Surv.
  doi: 10.2196/20572
– volume: 8
  start-page: 134577
  year: 2020
  ident: 10.1016/j.jss.2021.111136_b1
  article-title: A survey of covid-19 contact tracing apps
  publication-title: IEEE Access
  doi: 10.1109/ACCESS.2020.3010226
– year: 2020
  ident: 10.1016/j.jss.2021.111136_b38
– year: 2021
  ident: 10.1016/j.jss.2021.111136_b7
– start-page: 57
  year: 2017
  ident: 10.1016/j.jss.2021.111136_b49
  article-title: Crowdsourced exploration of mobile app features: A case study of the fort McMurray wildfire
– volume: 32
  start-page: 70
  issue: 3
  year: 2014
  ident: 10.1016/j.jss.2021.111136_b35
  article-title: What do mobile app users complain about?
  publication-title: IEEE Softw.
  doi: 10.1109/MS.2014.50
– volume: 3
  start-page: e27
  issue: 1
  year: 2015
  ident: 10.1016/j.jss.2021.111136_b61
  article-title: Mobile app rating scale: a new tool for assessing the quality of health mobile apps
  publication-title: JMIR MHealth UHealth
  doi: 10.2196/mhealth.3422
– volume: 24
  start-page: 3659
  issue: 6
  year: 2019
  ident: 10.1016/j.jss.2021.111136_b32
  article-title: Mining non-functional requirements from app store reviews
  publication-title: Empir. Softw. Eng.
  doi: 10.1007/s10664-019-09716-7
– start-page: 116
  year: 2015
  ident: 10.1016/j.jss.2021.111136_b43
  article-title: Bug report, feature request, or simply praise? on automatically classifying app reviews
– year: 2020
  ident: 10.1016/j.jss.2021.111136_b47
– year: 2019
  ident: 10.1016/j.jss.2021.111136_b16
– start-page: 247
  year: 2015
  ident: 10.1016/j.jss.2021.111136_b20
  article-title: Towards crowd-based requirements engineering a research preview
– year: 2020
  ident: 10.1016/j.jss.2021.111136_b54
– start-page: 1
  year: 2020
  ident: 10.1016/j.jss.2021.111136_b10
  article-title: Digital technologies in the public-health response to COVID-19
  publication-title: Nature Med.
– year: 2020
  ident: 10.1016/j.jss.2021.111136_b39
– ident: 10.1016/j.jss.2021.111136_b64
  doi: 10.1145/1143844.1143967
– start-page: 125
  year: 2013
  ident: 10.1016/j.jss.2021.111136_b52
  article-title: User feedback in the appstore: An empirical study
– volume: 13
  year: 2020
  ident: 10.1016/j.jss.2021.111136_b60
  article-title: COVID-19 digital contact tracing: Apple and google work together as MIT tests validity
  publication-title: IEEE Spectr.
– year: 1992
  ident: 10.1016/j.jss.2021.111136_b6
– year: 2020
  ident: 10.1016/j.jss.2021.111136_b8
– year: 2020
  ident: 10.1016/j.jss.2021.111136_b21
– year: 2008
  ident: 10.1016/j.jss.2021.111136_b15
– volume: 10
  start-page: 297
  issue: 3–4
  year: 2015
  ident: 10.1016/j.jss.2021.111136_b48
  article-title: An ontology of online user feedback in software engineering
  publication-title: Appl. Ontog.
  doi: 10.3233/AO-150150
– ident: 10.1016/j.jss.2021.111136_b17
  doi: 10.1007/978-3-642-01680-6_12
– volume: 2020
  year: 2020
  ident: 10.1016/j.jss.2021.111136_b46
  article-title: Demystifying COVID-19 digital contact tracing: A survey on frameworks and mobile apps
  publication-title: Wirel. Commun. Mob. Comput.
  doi: 10.1155/2020/8851429
– ident: 10.1016/j.jss.2021.111136_b50
  doi: 10.1145/2774225.2775075
– year: 2020
  ident: 10.1016/j.jss.2021.111136_b51
– volume: 8
  start-page: e19457
  issue: 6
  year: 2020
  ident: 10.1016/j.jss.2021.111136_b66
  article-title: A new system for surveillance and digital contact tracing for COVID-19: spatiotemporal reporting over network and GPS
  publication-title: JMIR MHealth UHealth
  doi: 10.2196/19457
– year: 2020
  ident: 10.1016/j.jss.2021.111136_b71
– volume: 384
  start-page: 33
  year: 2015
  ident: 10.1016/j.jss.2021.111136_b9
  article-title: Modeling contact tracing in outbreaks with application to Ebola
  publication-title: J. Theoret. Biol.
  doi: 10.1016/j.jtbi.2015.08.004
– year: 2020
  ident: 10.1016/j.jss.2021.111136_b37
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Snippet More than 78 countries have developed COVID contact-tracing apps to limit the spread of coronavirus. However, many experts and scientists cast doubt on the...
Context: More than 78 countries have developed COVID contact-tracing apps to limit the spread of coronavirus. However, many experts and scientists cast doubt...
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StartPage 111136
SubjectTerms App stores
Application programs
Computer software selection and evaluation
Contact tracing
Coronaviruses
COVID
Data mining
Decision making
End-users
Exploratory analysis
Gain insight
In Practice
Mobile app
Mobile apps
Software engineering
Software in society
User reviews
Title Mining user reviews of COVID contact-tracing apps: An exploratory analysis of nine European apps
URI https://dx.doi.org/10.1016/j.jss.2021.111136
https://www.ncbi.nlm.nih.gov/pubmed/34751198
https://www.proquest.com/docview/2595568318
https://pubmed.ncbi.nlm.nih.gov/PMC8566091
https://urn.kb.se/resolve?urn=urn:nbn:se:bth-22400
Volume 184
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