Details
| Original language | English |
|---|---|
| Title of host publication | Product-Focused Software Process Improvement -18th International Conference, PROFES 2017, Proceedings |
| Editors | Burak Turhan, Dietmar Winkler, Federica Sarro, Marcos Kalinowski, Daniel Mendez Fernandez, Michael Felderer |
| Publisher | Springer Verlag |
| Pages | 457-469 |
| Number of pages | 13 |
| ISBN (print) | 9783319699257 |
| Publication status | Published - 1 Jan 2017 |
| Event | 18th International Conference on Product-Focused Software Process Improvement, PROFES 2017 - Innsbruck, Austria Duration: 29 Nov 2017 → 1 Dec 2017 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 10611 LNCS |
| ISSN (Print) | 0302-9743 |
| ISSN (electronic) | 1611-3349 |
Abstract
Team communication addresses a critical issue for software developments. Understanding human behavior and communication take an important role for cost optimized scheduling and adjustment of dysfunctional manner. But team phenomena are often not trivial to interpret. Empirical studies can disclose practical information. Many kinds of research with the focus on human factors justify findings solely through linear statistics. This leads to an estimation problem of formally interpreted effects, in particular for diagnosis models. In this paper, we investigate several team communication effects with data records from an empirical study with 34 academic software projects. In general, we want to increase the awareness for often insufficiently interpreted human factors. We apply conventional linear correlation statistics in comparison with the novel exploratory analysis MINE on three sample cases concerning team meetings and communication behavior. Both analyzing techniques approved to be capable in identifying the relevant team communication effects within the case studies, even though with different estimation of relevances. The study demonstrates how quickly e.g. group behavior and communication effects can be insufficiently interpreted with dangerous gaps for factor estimation in modeling approaches.
Keywords
- Data visualization, Exploratory analysis, Human factors, Interpretation problem, Team communication
ASJC Scopus subject areas
- Mathematics(all)
- Theoretical Computer Science
- Computer Science(all)
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Product-Focused Software Process Improvement -18th International Conference, PROFES 2017, Proceedings. ed. / Burak Turhan; Dietmar Winkler; Federica Sarro; Marcos Kalinowski; Daniel Mendez Fernandez; Michael Felderer. Springer Verlag, 2017. p. 457-469 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10611 LNCS).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Don’t underestimate the human factors! exploring team communication effects
AU - Kortum, Fabian
AU - Klünder, Jil
AU - Schneider, Kurt
N1 - Funding information: Acknowledgment. This work was funded by the German Research Foundation (DFG) under grant number 263807701 (Project TeamFLOW, 2015–2017).
PY - 2017/1/1
Y1 - 2017/1/1
N2 - Team communication addresses a critical issue for software developments. Understanding human behavior and communication take an important role for cost optimized scheduling and adjustment of dysfunctional manner. But team phenomena are often not trivial to interpret. Empirical studies can disclose practical information. Many kinds of research with the focus on human factors justify findings solely through linear statistics. This leads to an estimation problem of formally interpreted effects, in particular for diagnosis models. In this paper, we investigate several team communication effects with data records from an empirical study with 34 academic software projects. In general, we want to increase the awareness for often insufficiently interpreted human factors. We apply conventional linear correlation statistics in comparison with the novel exploratory analysis MINE on three sample cases concerning team meetings and communication behavior. Both analyzing techniques approved to be capable in identifying the relevant team communication effects within the case studies, even though with different estimation of relevances. The study demonstrates how quickly e.g. group behavior and communication effects can be insufficiently interpreted with dangerous gaps for factor estimation in modeling approaches.
AB - Team communication addresses a critical issue for software developments. Understanding human behavior and communication take an important role for cost optimized scheduling and adjustment of dysfunctional manner. But team phenomena are often not trivial to interpret. Empirical studies can disclose practical information. Many kinds of research with the focus on human factors justify findings solely through linear statistics. This leads to an estimation problem of formally interpreted effects, in particular for diagnosis models. In this paper, we investigate several team communication effects with data records from an empirical study with 34 academic software projects. In general, we want to increase the awareness for often insufficiently interpreted human factors. We apply conventional linear correlation statistics in comparison with the novel exploratory analysis MINE on three sample cases concerning team meetings and communication behavior. Both analyzing techniques approved to be capable in identifying the relevant team communication effects within the case studies, even though with different estimation of relevances. The study demonstrates how quickly e.g. group behavior and communication effects can be insufficiently interpreted with dangerous gaps for factor estimation in modeling approaches.
KW - Data visualization
KW - Exploratory analysis
KW - Human factors
KW - Interpretation problem
KW - Team communication
UR - http://www.scopus.com/inward/record.url?scp=85034594366&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-69926-4_36
DO - 10.1007/978-3-319-69926-4_36
M3 - Conference contribution
AN - SCOPUS:85034594366
SN - 9783319699257
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 457
EP - 469
BT - Product-Focused Software Process Improvement -18th International Conference, PROFES 2017, Proceedings
A2 - Turhan, Burak
A2 - Winkler, Dietmar
A2 - Sarro, Federica
A2 - Kalinowski, Marcos
A2 - Mendez Fernandez, Daniel
A2 - Felderer, Michael
PB - Springer Verlag
T2 - 18th International Conference on Product-Focused Software Process Improvement, PROFES 2017
Y2 - 29 November 2017 through 1 December 2017
ER -