TUTCRIS - Tampereen teknillinen yliopisto

TUTCRIS

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

Tutkimustuotosvertaisarvioitu

Yksityiskohdat

AlkuperäiskieliEnglanti
OtsikkoAgile Processes in Software Engineering and Extreme Programming - 18th International Conference, XP 2017, Proceedings
KustantajaSpringer Verlag
Sivut52-67
Sivumäärä16
ISBN (painettu)9783319576329
DOI - pysyväislinkit
TilaJulkaistu - 2017
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisussa
TapahtumaINTERNATIONAL CONFERENCE ON AGILE SOFTWARE DEVELOPMENT -
Kesto: 1 tammikuuta 1900 → …

Julkaisusarja

NimiLecture Notes in Business Information Processing
Vuosikerta283
ISSN (painettu)1865-1348

Conference

ConferenceINTERNATIONAL CONFERENCE ON AGILE SOFTWARE DEVELOPMENT
Ajanjakso1/01/00 → …

Tiivistelmä

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.