A taxonomy of software visualization

Price, Bob; Small, Ian; Baecker, Ronald M.

doi:10.1109/hicss.1992.183311

Cited by 53 publications

(46 citation statements)

References 11 publications

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“…Viewing by itself is the most passive of the forms of engagement; indeed, aside from controlling a visualization's execution and changing views, viewing does not entail active involvement with a visualization. Note that, in its broadest sense [49,50], visualization includes auralization; thus, we include "hearing" within this category.…”

Section: Engagement Taxonomymentioning

confidence: 99%

Exploring the role of visualization and engagement in computer science education

et al. 2002

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Visualization technology can be used to graphically illustrate various concepts in computer science. We argue that such technology, no matter how well it is designed, is of little educational value unless it engages learners in an active learning activity. Drawing on a review of experimental studies of visualization effectiveness, we motivate this position against the backdrop of current attitudes and best practices with respect to visualization use. We suggest a new taxonomy of learner engagement with visualization technology. Grounded in Bloom's wellrecognized taxonomy of understanding, we suggest metrics for assessing the learning outcomes to which such engagement may lead. Based on these taxonomies of engagement and effectiveness metrics, we present a framework for experimental studies of visualization effectiveness. Interested computer science educators are invited to collaborate with us by carrying out studies within this framework.

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Section: Engagement Taxonomymentioning

confidence: 99%

Exploring the role of visualization and engagement in computer science education

et al. 2002

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“…Other visualization projects have been tried among younger learners but instead of AV, these systems employed program visualization (PV). AV and PV are considered distinct as the former deals more with the abstract descriptions of programs or algorithms while the latter aims to improve understanding of actual program implementation (Price, Baecker, & Small, 1998).…”

Section: Overview Of History Of Avmentioning

confidence: 99%

Usability and Pedagogical Assessment of an Algorithm Learning Tool: A Case Study for an Introductory Programming Course for High School

Avancena¹,

Nishihara

2015

InSITE Conference

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[The final form of this paper was published in the journal Issues in Informing Science and Information Technology.] An algorithm learning tool was developed for an introductory computer science class in a specialized science and technology high school in Japan. The tool presents lessons and simple visualizations that aim to facilitate teaching and learning of fundamental algorithms. Written tests and an evaluation questionnaire were designed and implemented along with the learning tool among the participants. The tool’s effect on the learning performance of the students was examined. The differences of the two types of visualizations offered by the tool, one more input and control options and the other with fewer options were analyzed. Based on the evaluation questionnaire, the scales with which the tool can be assessed according to its usability and pedagogical effectiveness were identified. After using the algorithm learning tool, there was an increase in the posttest scores of the students and those who used the visualization with more input options has higher scores compared to those who used the one with limited input options. The learning objectives used to evaluate the tool correlated with the test performance of the students. Properties comprised of learning objectives, algorithm visualization characteristics and interface assessment are proposed to be incorporated in evaluating an algorithm learning tool for novice learners.

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“…Software visualization employs visual paradigms (visual resources, graphic design or animation) to facilitate both the human understanding and effective use of software (Price et al 1998). Software visualization tools are also based on metrics.…”

Section: Tool Assessmentmentioning

confidence: 99%

Investigating factors that affect the human perception on god class detection: an analysis based on a family of four controlled experiments

Santos

Rocha-Junior

Mendonça

2017

J Softw Eng Res Dev

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Context:Evaluation of design problems in object oriented systems, which we call code smells, is mostly a human-based task. Several studies have investigated the impact of code smells in practice. Studies focusing on human identification of code smells have shown low agreement among developers. Unfortunately, those studies do not attempt to investigate the reasons behind this phenomenon. Objective: This paper aims to investigate factors affecting human perception of code smells. Specifically, it focuses on factors affecting god class detection, one of the most known code smells. Method: The investigation encompassed a family of four controlled experiments, covering potential factors affecting human detection of code smells. The method is incremental. In other words, each experiment produces insights to the next one. This allows the investigators to control specific factors affecting the agreement on god class detection. The factors addressed in this study are: i) developer experience, ii) developer knowledge, iii) developer training, iv) tool support for design comprehension, and v) software size. Result: Our findings show that tool support for design comprehension is the only factor that does not affect the human perception of god class. The other factors impact this perception in some way. Conclusion: The area still needs more investigation and discussion on what we call the code smell conceptualization problem, to ensure similar criteria and thresholds on human-based code smell detection.

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A taxonomy of software visualization

Cited by 53 publications

References 11 publications

Exploring the role of visualization and engagement in computer science education

Exploring the role of visualization and engagement in computer science education

Usability and Pedagogical Assessment of an Algorithm Learning Tool: A Case Study for an Introductory Programming Course for High School

Investigating factors that affect the human perception on god class detection: an analysis based on a family of four controlled experiments

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