Empirical Analysis of the Relationship between Trust and Willingness to Provide Data in Software Development

Collecting software-related data is essential to improve software quality and software development processes. To promote such data collection, we analyzed users' willingness to provide data, focusing on three types of data collection: software crash reports, user operation logs of applications, and engineers' operation logs in software development. We emphasized the importance of trust in data collectors, as higher trust is expected to lead to greater willingness to provide data. The effects of trust may vary depending on the type of data collection, as the perceived severity of data for users can also differ between types. Using questionnaires, we analyzed users' willingness to participate in data collection, and the results suggest that the impact of trust in data collectors varies across data types. It is particularly weak when collecting crash reports but becomes crucial for software development-related data.

Authors

Institutions

Publication Details

Journal
IEICE Transactions on Information and Systems
Published
2025-11-06
DOI
https://doi.org/10.1587/transinf.2025mpl0001
Primary Topic
Software Engineering Research
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Empirical Analysis of the Relationship between Trust and Willingness to Provide Data in Software Development

Masateru Tsunoda, Yukasa Murakami, Yuriko Takatsuka, Akito Monden
IEICE Transactions on Information and Systems
Software Engineering Research
article

Empirical Analysis of the Relationship between Trust and Willingness to Provide Data in Software Development

Masateru Tsunoda, Yukasa Murakami, Yuriko Takatsuka, Akito Monden
article en

Abstract

Collecting software-related data is essential to improve software quality and software development processes. To promote such data collection, we analyzed users' willingness to provide data, focusing on three types of data collection: software crash reports, user operation logs of applications, and engineers' operation logs in software development. We emphasized the importance of trust in data collectors, as higher trust is expected to lead to greater willingness to provide data. The effects of trust may vary depending on the type of data collection, as the perceived severity of data for users can also differ between types. Using questionnaires, we analyzed users' willingness to participate in data collection, and the results suggest that the impact of trust in data collectors varies across data types. It is particularly weak when collecting crash reports but becomes crucial for software development-related data.

IEICE Transactions on Information and SystemsVol. E109.D(3)
Okayama University (JP), Institute of Informatics of the Slovak Academy of Sciences (SK), Kindai University (JP)
Japan Society for the Promotion of Science
Openalex Percentile: Top 53%
Software Engineering Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.