To successfully satisfy user needs, software developers need to suitably capture and implement user requirements. A critical and often overlooked characteristic of user requirements are 'human aspects', which are personal circumstances affecting the use of software (e.g., age, gender, language, etc.). To better understand how human aspects can impact the use of software, this work presents an empirical study focusing on app reviews of COVID-19 contact tracing apps. We manually analyzed a dataset of 2,611 app reviews sampled from the reviews associated with 57 COVID-19 apps. To analyze the reviews, we performed qualitative and quantitative analyses. The analyses characterize the human aspects contained in the reviews and investigate whether the apps suitably address the human aspects. We identified 716 reviews related to human aspects and grouped these into nine categories. Of these 716 reviews, 8% report bugs, 14% describe future/improvement requests, and 22% detail the user experience. Our analysis of the results reveal that human aspects are important to users and we need better support to account for them as software is developed.
|Original language||English (US)|
|Title of host publication||Proceedings - 9th IEEE/ACM International Conference on Mobile Software Engineering and Systems, MOBILESoft 2022|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|Number of pages||12|
|State||Published - 2022|
|Event||9th IEEE/ACM International Conference on Mobile Software Engineering and Systems, MOBILESoft 2022 - Pittsburgh, United States|
Duration: May 17 2022 → May 18 2022
|Name||Proceedings - 9th IEEE/ACM International Conference on Mobile Software Engineering and Systems, MOBILESoft 2022|
|Conference||9th IEEE/ACM International Conference on Mobile Software Engineering and Systems, MOBILESoft 2022|
|Period||5/17/22 → 5/18/22|
Bibliographical noteFunding Information:
This work is partially supported by Australian Research Council Laureate Fellowship FL190100035 and Discovery Project DP200100020.
© 2022 ACM.
- App Review mining
- Covid-19 apps
- Human aspects