Details
Originalsprache | Englisch |
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Titel des Sammelwerks | Requirements Engineering |
Untertitel | Foundation for Software Quality - 22nd International Working Conference, REFSQ 2016, Proceedings |
Herausgeber/-innen | Oscar Pastor, Maya Daneva |
Erscheinungsort | Cham |
Herausgeber (Verlag) | Springer International Publishing AG |
Seiten | 301-317 |
Seitenumfang | 17 |
ISBN (Print) | 9783319302812 |
Publikationsstatus | Veröffentlicht - 2016 |
Publikationsreihe
Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Band | 9619 |
ISSN (Print) | 0302-9743 |
ISSN (elektronisch) | 1611-3349 |
Abstract
ASJC Scopus Sachgebiete
- Mathematik (insg.)
- Theoretische Informatik
- Informatik (insg.)
- Allgemeine Computerwissenschaft
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Requirements Engineering: Foundation for Software Quality - 22nd International Working Conference, REFSQ 2016, Proceedings. Hrsg. / Oscar Pastor; Maya Daneva. Cham: Springer International Publishing AG, 2016. S. 301-317 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Band 9619).
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - How Do We Read Specifications? Experiences from an Eye Tracking Study
AU - Ahrens, Maike
AU - Schneider, Kurt
AU - Kiesling, Stephan
N1 - Publisher Copyright: © Springer International Publishing Switzerland 2016. Copyright: Copyright 2017 Elsevier B.V., All rights reserved.
PY - 2016
Y1 - 2016
N2 - [Context and motivation] Writing good specifications is difficult and takes time. There are several guidelines such as the Volere template to assist writing a good specification. They provide a table of contents which can be used like a checklist to consider all relevant aspects. Voluminous specifications take more time to write, and also more time to read. A larger specification is not always a better one. [Question/Problem] A requirements engineer should be aware of how readers make use of a specification and consider their interests in writing it. In addition, some people prefer reading on a screen while others hold a preference for paper printouts. Some parts or aspects may be read differently in both representations. [Principal ideas/results]: We have conducted an Eye Tracking study investigating how specifications are read. We compared paper-based with on-screen presentation, and different reading perspectives such as UI designers, tester, software architects etc. We derived study goals by using GQM down to the level of quantitative and statistical eye tracking analyses. [Contribution]: There is a two-fold contribution: (a) Observations and findings about the way specifications are read; e.g., we had expected paper-based reading to be faster. Instead, we found similar reading patterns on paper versus on screen. (b) Insights with respect to eye tracking as a research method for requirements engineering. We discuss strengths and shortcomings, and provide lessons learned.
AB - [Context and motivation] Writing good specifications is difficult and takes time. There are several guidelines such as the Volere template to assist writing a good specification. They provide a table of contents which can be used like a checklist to consider all relevant aspects. Voluminous specifications take more time to write, and also more time to read. A larger specification is not always a better one. [Question/Problem] A requirements engineer should be aware of how readers make use of a specification and consider their interests in writing it. In addition, some people prefer reading on a screen while others hold a preference for paper printouts. Some parts or aspects may be read differently in both representations. [Principal ideas/results]: We have conducted an Eye Tracking study investigating how specifications are read. We compared paper-based with on-screen presentation, and different reading perspectives such as UI designers, tester, software architects etc. We derived study goals by using GQM down to the level of quantitative and statistical eye tracking analyses. [Contribution]: There is a two-fold contribution: (a) Observations and findings about the way specifications are read; e.g., we had expected paper-based reading to be faster. Instead, we found similar reading patterns on paper versus on screen. (b) Insights with respect to eye tracking as a research method for requirements engineering. We discuss strengths and shortcomings, and provide lessons learned.
KW - Empirical studies
KW - Eye tracking
KW - Perspective-based specification
KW - Requirements specification
KW - Research agenda
KW - View-based requirements specification
UR - http://www.scopus.com/inward/record.url?scp=84960873353&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-30282-9_21
DO - 10.1007/978-3-319-30282-9_21
M3 - Conference contribution
SN - 9783319302812
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 301
EP - 317
BT - Requirements Engineering
A2 - Pastor, Oscar
A2 - Daneva, Maya
PB - Springer International Publishing AG
CY - Cham
ER -