A systematic literature review on the usage of eye-tracking in software engineering

Sharafi, Zohreh; Soh, Zéphyrin; Guéhéneuc, Yann‐Gaël

doi:10.1016/j.infsof.2015.06.008

Cited by 177 publications

(129 citation statements)

References 39 publications

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“…Using a SLR, existing works on classification and quality properties of program metamodels and tools are identified. Regarding the paper selection process within the SLR, we referred to the process adopted in another successful SLR (Sharafi et al 2015). The aim of an SLR is to aggregate existing evidence on the research questions and to support the development of evidence-based guidelines for researchers and practitioners (Kitchenham et al 2009).…”

Section: Construction Processmentioning

confidence: 99%

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ProMeTA: a taxonomy for program metamodels in program reverse engineering

2018

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To support program comprehension, maintenance, and evolution, metamodels are frequently used during program reverse engineering activities to describe and analyze constituents of a program and their relations. Reverse engineering tools often define their own metamodels according to the intended purposes and features. Although each metamodel has its own advantages, its limitations may be addressed by other metamodels. Existing works have evaluated and compared metamodels and tools, but none have considered all the possible characteristics and limitations to provide a comprehensive guideline for classifying, comparing, reusing, and extending program metamodels. To aid practitioners and researchers in classifying, comparing, reusing, and extending program metamodels and their corresponding reverse engineering tools according to the intended goals, we establish a conceptual framework with definitions of program metamodels and related concepts. We confirmed that any reverse engineering activity can be clearly described as a pattern based on the framework from the viewpoint of program metamodels. Then the framework is used (2018) 23:2323-2358 to provide a comprehensive taxonomy, named Program Metamodel TAxonomy (ProMeTA), which incorporates newly identified characteristics into those stated in previous works, which were identified via a systematic literature review (SLR) on program metamodels, while keeping the orthogonality of the entire taxonomy. Additionally, we validate the taxonomy in terms of its orthogonality and usefulness through the classification of popular metamodels.Empir Software Eng

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Section: Construction Processmentioning

confidence: 99%

“…Although it is adopted in other SLRs (Sharafi et al 2015), relevant papers may be missed. Additionally, we may have missed relevant papers even after double-checking the paper selection results.…”

Section: Limitationsmentioning

confidence: 99%

ProMeTA: a taxonomy for program metamodels in program reverse engineering

2018

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“…Los movimientos oculares fueron registrados por el Eye Tracker Tobii Tx300 y fueron analizados mediante el software Tobii Studio, a través de identificación de áreas de interés (AoI) (un área de interés es una parte de la imagen que se considera relevante y que es susceptible de análisis) (Sharafi, Soh, & Guéhéneuc, 2015), mapas de calor y gráficos gaze plot.…”

Section: Análisis De Datosunclassified

Analisis De La Percepcion De Eventos Estaticos Y Dinamicos en Personas Con Enfermedad De Alzheimer

et al. 2017

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Uno de los aspectos afectados en la Enfermedad de Alzheimer es el lenguaje. La naturaleza y manifestaciones de estas dificultades se relacionan con la forma como los pacientes con EA perciben y comprenden el mundo que les rodea. En la presente investigación se analizaron las fijaciones visuales de siete pacientes con EA y sus controles durante tareas de percepción de escenas estáticas y dinámicas (imagen y video respectivamente). De igual forma se analizó una muestra de lenguaje producida por los pacientes al narrar el evento dinámico. Los resultados indican diferencias significativas en cuanto a la búsqueda visual, en la cual el grupo con EA presento disminución de la velocidad. En tareas de rastreo se evidencia que las personas con EA identifican menos elementos en una imagen realizando menos fijaciones, con estrategias de exploración poco eficientes. En cuanto al evento dinámico, el rastreo visual fue similar entre los dos grupos sin embargo la expresión lingüística de lo observado está afectada en el grupo con EA revelando la relación de la percepción y el lenguaje ya que a pesar de observar los eventos dentro de una escena en movimiento, estos no son recobrados posteriormente para ser expresados lingüísticamente. Estos resultados tienen importantes implicaciones tanto en la identificación de la naturaleza de las dificultades lingüísticas en la EA como en el manejo de la misma.

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“…In addition, eye trackers can measure pupil dilation and saccades as mentioned above. These measurements can be combined into more complicated measures during analysis (see Holmqvist et al 2011;Bergstrom and Schall 2014;and Sharafi, Soh, and Guéhéneuc 2015 for more information on outputs).…”

Section: A Designing the Experimentsmentioning

confidence: 99%

“…These improvements have led to expanded use in many fields. Several literature reviews summarize these research agendas in fields including psychology (e.g., Feng 2011); education and training (Rosch and Vogel-Walcutt 2013); user interface (Bergstrom and Schall 2014); software engineering (Sharafi, Soh, and Guéhéneuc 2015); and even surgery (Hermens, Flin, and Ahmed 2013).…”

mentioning

confidence: 99%

The Power of Eye Tracking in Economics Experiments

Lahey

Oxley

2016

American Economic Review

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Eye tracking is a technology that tracks eye activity including how long and where a participant is looking. As eye tracking technology has improved and become more affordable its use has expanded. We discuss how to design, implement, and analyze an experiment using this technology to study economic theory. Using our experience fielding an experiment to study hiring decisions we guide the reader through how to choose an eye tracker, concerns with participants and set-up, types of outputs, limitations of eye tracking, data management and data analysis. We conclude with suggestions for combining eye tracking with other measurements.

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A systematic literature review on the usage of eye-tracking in software engineering

Cited by 177 publications

References 39 publications

ProMeTA: a taxonomy for program metamodels in program reverse engineering

ProMeTA: a taxonomy for program metamodels in program reverse engineering

Analisis De La Percepcion De Eventos Estaticos Y Dinamicos en Personas Con Enfermedad De Alzheimer

The Power of Eye Tracking in Economics Experiments

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