Deja Vu: semantics-aware recording and replay of high-speed eye tracking and interaction data to support cognitive studies of software engineering tasks—methodology and analyses-Reference-Cited by-同舟云学术

Deja Vu: semantics-aware recording and replay of high-speed eye tracking and interaction data to support cognitive studies of software engineering tasks—methodology and analyses

Published:2022-09-20 Issue:7 Volume:27 Page:
ISSN:1382-3256
Container-title:Empirical Software Engineering
language:en
Short-container-title:Empir Software Eng

Author:

Zyrianov Vlas,Peterson Cole S.,Guarnera Drew T.,Behler Joshua,Weston Praxis,Sharif Bonita,Maletic Jonathan I.^ORCID

Funder

national science foundation

Publisher

Springer Science and Business Media LLC

Subject

Software

Link

https://link.springer.com/content/pdf/10.1007/s10664-022-10209-3.pdf

Reference70 articles.

1. Abid NJ, Sharif B, Dragan N, Alrasheed H, Maletic JI (2019) Developer reading behavior while summarizing java methods: size and context matters. In: Atlee JM, Bultan T, Whittle J (eds) Proceedings of the 41st international conference on software engineering, ICSE 2019, Montreal, QC, Canada, May 25–31, 2019. https://doi.org/10.1109/ICSE.2019.00052. IEEE/ACM, pp 384–395

2. Andersson R, Nyström M, Holmqvist K (2010) Sampling frequency and eye-tracking measures: how speed affects durations, latencies, and more. J Eye Mov Res 3(3). https://doi.org/10.16910/jemr.3.3.6

3. Andersson R, Larsson L, Holmqvist K, Stridh M, Nyström M (2017) One algorithm to rule them all? An evaluation and discussion of ten eye movement event-detection algorithms. Behav Res Methods 49:616–637

4. Bao L, Ye D, Xing Z, Xia X, Wang X (2015) Activityspace: a remembrance framework to support interapplication information needs. In: Cohen MB, Grunske L, Whalen M (eds) 30th IEEE/ACM international conference on automated software engineering, ASE 2015, Lincoln, NE, USA, November 9–13, 2015. https://doi.org/10.1109/ASE.2015.90. IEEE Computer Society, pp 864–869

5. Bao L, Xing Z, Xia X, Lo D, Hassan AE (2018) Inference of development activities from interaction with uninstrumented applications. Empir Softw Eng 23(3):1313–1351. https://doi.org/10.1007/s10664-017-9547-8

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