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Eeny, Meeny, Miny, Mo…: A multiple case study on selecting a technique for user-interaction data collecting

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review


Original languageEnglish
Title of host publicationAgile Processes in Software Engineering and Extreme Programming - 18th International Conference, XP 2017, Proceedings
PublisherSpringer Verlag
Number of pages16
ISBN (Print)9783319576329
Publication statusPublished - 2017
Publication typeA4 Article in a conference publication
EventInternational Conference on Agile Software Development -
Duration: 1 Jan 1900 → …

Publication series

NameLecture Notes in Business Information Processing
ISSN (Print)1865-1348


ConferenceInternational Conference on Agile Software Development
Period1/01/00 → …


Today, software teams can deploy new software versions to users at an increasing speed – even continuously. Although this has enabled faster responding to changing customer needs than ever before, the speed of automated customer feedback gathering has not yet blossomed out at the same level. For these purposes, the automated collecting of quantitative data about how users interact with systems can provide software teams with an interesting alternative. When starting such a process, however, teams are faced immediately with difficult decision making: What kind of technique should be used for collecting user-interaction data? In this paper, we describe the reasons for choosing specific collecting techniques in three cases and refine a previously designed selection framework based on their data. The study is a part of on-going design science research and was conducted using case study methods. A few distinct criteria which practitioners valued the most arose from the results.


  • Agile software development, Multiple case study, Software data collecting, User-interaction data

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Field of science, Statistics Finland

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