Skip to main content
Top

2018 | OriginalPaper | Chapter

Quality Improvement of Mobile Apps – Tool-Supported Lightweight Feedback Analyses

Authors : Simon André Scherr, Frank Elberzhager, Lisa Müller

Published in: Product-Focused Software Process Improvement

Publisher: Springer International Publishing

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

Mobile apps have penetrated the market and are used everywhere. The success of apps also depends on user feedback as this enables users to influence other potential customers and provides new opportunities for identifying features. An efficient development process including quality assurance is obligatory for app-developing companies. However, developers also face challenges, such as short time to market, many release cycles, or low budgets for quality assurance. Therefore, we present a lightweight approach that considers textual feedback from users and a corresponding tool chain. With this, quality can be monitored and development and quality assurance decisions for upcoming sprints can be made fast and easily. Furthermore, examples of such textual analyses show how the approach can provide information to improve apps.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Literature
2.
go back to reference Elberzhager, F., Holl, K., Karn, B., Immich, T.: Rapid lean UX development through user feedback revelation. In: PROFES 2017: Product-Focused Software Process Improvement (2017)CrossRef Elberzhager, F., Holl, K., Karn, B., Immich, T.: Rapid lean UX development through user feedback revelation. In: PROFES 2017: Product-Focused Software Process Improvement (2017)CrossRef
3.
go back to reference Scherr, S., Elberzhager, F., Holl, K.: An automated feedback-based approach to support mobile app development. In: Proceedings - 43rd Euromicro Conference on Software Engineering and Advanced Applications, SEAA 2017, Vienna (2017) Scherr, S., Elberzhager, F., Holl, K.: An automated feedback-based approach to support mobile app development. In: Proceedings - 43rd Euromicro Conference on Software Engineering and Advanced Applications, SEAA 2017, Vienna (2017)
4.
go back to reference Hussein: A survey on sentiment analysis challenges. Journal of King Saud University - Engineering Sciences (2016) Hussein: A survey on sentiment analysis challenges. Journal of King Saud University - Engineering Sciences (2016)
6.
go back to reference Hogenboom, A., Bal, M., Frasincar, F., Bal, D.: Towards cross-language sentiment analysis through universal star ratings. Adv. Intell. Syst. Comput. 172, 69–79 (2013)CrossRef Hogenboom, A., Bal, M., Frasincar, F., Bal, D.: Towards cross-language sentiment analysis through universal star ratings. Adv. Intell. Syst. Comput. 172, 69–79 (2013)CrossRef
7.
go back to reference Dashtipour, K., Poria, S., Hussain, A., Cambria, E., Hawalah, A., Gelbukh, A., Zhou, Q.: Multilingual sentiment analysis: state of the art and independent comparison of techniques. Cogn. Comput. 8, 757–771 (2016)CrossRef Dashtipour, K., Poria, S., Hussain, A., Cambria, E., Hawalah, A., Gelbukh, A., Zhou, Q.: Multilingual sentiment analysis: state of the art and independent comparison of techniques. Cogn. Comput. 8, 757–771 (2016)CrossRef
8.
9.
go back to reference Provine, R., Spencer, R., Mandell, D.: Emotional expression online. J. Lang. Soc. Psychol. 26(3), 299–307 (2007)CrossRef Provine, R., Spencer, R., Mandell, D.: Emotional expression online. J. Lang. Soc. Psychol. 26(3), 299–307 (2007)CrossRef
10.
go back to reference Ekman, P., Friesen, W.: Constants across cultures in the face and emotion. J. Pers. Soc. Psychol. 17(2), 124–129 (1971)CrossRef Ekman, P., Friesen, W.: Constants across cultures in the face and emotion. J. Pers. Soc. Psychol. 17(2), 124–129 (1971)CrossRef
11.
go back to reference Plutchik, R.: A general psychoevolutionary theory of emotion. In: Theories of Emotion, pp. 3–33 (1980)CrossRef Plutchik, R.: A general psychoevolutionary theory of emotion. In: Theories of Emotion, pp. 3–33 (1980)CrossRef
12.
go back to reference Scherr, S., Polst, S., Müller, L., Holl, K., Elberzhager, F.: The perception of emojis for analyzing app feedback. Int. J. Interact. Mob. Technol. (accepted) Scherr, S., Polst, S., Müller, L., Holl, K., Elberzhager, F.: The perception of emojis for analyzing app feedback. Int. J. Interact. Mob. Technol. (accepted)
13.
go back to reference Scherr, S., Elberzhager, F., Meyer, S.: Listen to your users - quality improvement of mobile apps through lightweight feedback analyses. In: International Conference on Software Quality (2019) Scherr, S., Elberzhager, F., Meyer, S.: Listen to your users - quality improvement of mobile apps through lightweight feedback analyses. In: International Conference on Software Quality (2019)
Metadata
Title
Quality Improvement of Mobile Apps – Tool-Supported Lightweight Feedback Analyses
Authors
Simon André Scherr
Frank Elberzhager
Lisa Müller
Copyright Year
2018
DOI
https://doi.org/10.1007/978-3-030-03673-7_29

Premium Partner